Mikäel J. Pittet

50.7k total citations · 17 hit papers
168 papers, 30.4k citations indexed

About

Mikäel J. Pittet is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Mikäel J. Pittet has authored 168 papers receiving a total of 30.4k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Immunology, 51 papers in Oncology and 43 papers in Molecular Biology. Recurrent topics in Mikäel J. Pittet's work include Immunotherapy and Immune Responses (61 papers), Immune cells in cancer (52 papers) and Immune Cell Function and Interaction (49 papers). Mikäel J. Pittet is often cited by papers focused on Immunotherapy and Immune Responses (61 papers), Immune cells in cancer (52 papers) and Immune Cell Function and Interaction (49 papers). Mikäel J. Pittet collaborates with scholars based in United States, Switzerland and Germany. Mikäel J. Pittet's co-authors include Ralph Weissleder, Filip K. Świrski, Matthias Nahrendorf, Peter Libby, Elena Aïkawa, Jose‐Luiz Figueiredo, Vincenzo Bronte, Rainer H. Köhler, Christina Pfirschke and Camilla Engblom and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mikäel J. Pittet

166 papers receiving 30.1k citations

Hit Papers

Understanding the tumor immune... 2004 2026 2011 2018 2018 2008 2007 2009 2007 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Understanding the tumor immune microenvironment (TIME) for effective therapy
    2018 4.0k citations Mikhail Binnewies, Edward W. Roberts et al. Nature Medicine profile →
  2. Imaging in the era of molecular oncology
    2008 1.9k citations Ralph Weissleder, Mikäel J. Pittet profile →
  3. The healing myocardium sequentially mobilizes two monocyte subsets with divergent and complementary functions
    2007 1.8k citations Matthias Nahrendorf, Filip K. Świrski et al. The Journal of Experimental Medicine profile →
  4. Identification of Splenic Reservoir Monocytes and Their Deployment to Inflammatory Sites
    2009 1.7k citations Filip K. Świrski, Matthias Nahrendorf et al. Science profile →
  5. Ly-6Chi monocytes dominate hypercholesterolemia-associated monocytosis and give rise to macrophages in atheromata
    2007 966 citations Filip K. Świrski, Peter Libby et al. Journal of Clinical Investigation profile →
  6. Single-Cell Transcriptomics of Human and Mouse Lung Cancers Reveals Conserved Myeloid Populations across Individuals and Species
    2019 894 citations Camilla Engblom, Christina Pfirschke et al. profile →
  7. TLR7/8-agonist-loaded nanoparticles promote the polarization of tumour-associated macrophages to enhance cancer immunotherapy
    2018 867 citations Sean P. Arlauckas, Michael F. Cuccarese et al. profile →
  8. The Spleen in Local and Systemic Regulation of Immunity
    2013 774 citations Mikäel J. Pittet et al. profile →
  9. Imaging macrophages with nanoparticles
    2014 659 citations Ralph Weissleder, Matthias Nahrendorf et al. profile →
  10. Regulatory T cells suppress tumor-specific CD8 T cell cytotoxicity through TGF-β signals in vivo
    2004 636 citations Mei-Ling Chen, Mikäel J. Pittet et al. Proceedings of the National Academy of Sciences profile →
  11. Monocytes: Protagonists of Infarct Inflammation and Repair After Myocardial Infarction
    2010 622 citations Matthias Nahrendorf, Mikäel J. Pittet et al. profile →
  12. The role of myeloid cells in cancer therapies
    2016 569 citations Camilla Engblom, Christina Pfirschke et al. profile →
  13. Origins of tumor-associated macrophages and neutrophils
    2012 521 citations Virna Cortez‐Retamozo, Martin Etzrodt et al. Proceedings of the National Academy of Sciences profile →
  14. In vivo imaging reveals a tumor-associated macrophage–mediated resistance pathway in anti–PD-1 therapy
    2017 504 citations Sean P. Arlauckas, Christopher Garris et al. Science Translational Medicine profile →
  15. Clinical relevance of tumour-associated macrophages
    2022 458 citations Mikäel J. Pittet, Olivier Michielin et al. profile →
  16. A neutrophil response linked to tumor control in immunotherapy
    2023 229 citations Peter D. Koch, Christina Pfirschke et al. profile →
  17. Dendritic cells as shepherds of T cell immunity in cancer
    2023 142 citations Mikäel J. Pittet, Christopher Garris et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mikäel J. Pittet United States 75 15.7k 9.3k 8.4k 5.0k 2.5k 168 30.4k
Steven Μ. Albelda United States 96 13.6k 0.9× 10.6k 1.1× 13.2k 1.6× 3.6k 0.7× 2.8k 1.1× 315 35.5k
Jordan S. Pober United States 97 15.7k 1.0× 12.0k 1.3× 4.3k 0.5× 1.6k 0.3× 4.7k 1.9× 362 37.0k
David T. Scadden United States 101 10.4k 0.7× 18.7k 2.0× 10.3k 1.2× 2.8k 0.6× 5.0k 2.0× 389 43.6k
Ulrich H. von Andrian United States 109 26.1k 1.7× 9.8k 1.1× 7.6k 0.9× 2.0k 0.4× 1.5k 0.6× 256 42.9k
Matthias Nahrendorf United States 89 9.1k 0.6× 10.2k 1.1× 2.3k 0.3× 3.4k 0.7× 1.9k 0.7× 250 29.6k
Ying Wang China 86 7.8k 0.5× 13.6k 1.5× 7.4k 0.9× 1.8k 0.4× 4.2k 1.7× 934 33.0k
Elisabetta Dejana Italy 113 7.2k 0.5× 22.7k 2.5× 5.6k 0.7× 1.8k 0.4× 4.6k 1.8× 389 44.0k
Doménico Ribatti Italy 93 7.1k 0.5× 17.8k 1.9× 8.6k 1.0× 2.0k 0.4× 5.8k 2.3× 872 35.3k
Martin A. Schwartz United States 107 4.4k 0.3× 22.6k 2.4× 4.7k 0.6× 5.5k 1.1× 4.0k 1.6× 409 46.8k
John S. Condeelis United States 101 5.6k 0.4× 16.0k 1.7× 9.9k 1.2× 5.0k 1.0× 4.7k 1.9× 336 34.4k

Countries citing papers authored by Mikäel J. Pittet

Since Specialization
Citations

This map shows the geographic impact of Mikäel J. Pittet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mikäel J. Pittet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikäel J. Pittet more than expected).

Fields of papers citing papers by Mikäel J. Pittet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikäel J. Pittet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mikäel J. Pittet. The network helps show where Mikäel J. Pittet may publish in the future.

Co-authorship network of co-authors of Mikäel J. Pittet

This figure shows the co-authorship network connecting the top 25 collaborators of Mikäel J. Pittet. A scholar is included among the top collaborators of Mikäel J. Pittet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikäel J. Pittet. Mikäel J. Pittet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Qin, Tingting, Austin K. Mattox, Jean S. Campbell, et al.. (2025). Epigenetic therapy sensitizes anti–PD-1 refractory head and neck cancers to immunotherapy rechallenge. Journal of Clinical Investigation. 135(6). 5 indexed citations
2.
Xie, Yuxuan, Pratyaksha Wirapati, Claudio Vinegoni, et al.. (2025). Targeting cancer-associated fibroblasts for real-time intraoperative tumor identification with a spray-on fluorescent probe. Science Advances. 11(47). eaeb5810–eaeb5810.
3.
Garris, Christopher, Rainer H. Köhler, Yoshiko Iwamoto, et al.. (2024). Targeted SPP1 Inhibition of Tumor‐Associated Myeloid Cells Effectively Decreases Tumor Sizes. Advanced Science. 12(4). e2410360–e2410360. 8 indexed citations
4.
Loukas, Serafeim, Laura Gui, Mikäel J. Pittet, et al.. (2023). Behavioral outcome of very preterm children at 5 years of age: Prognostic utility of brain tissue volumes at term‐equivalent‐age, perinatal, and environmental factors. Brain and Behavior. 13(2). e2818–e2818. 10 indexed citations
5.
Drobni, Zsófia D., Olivier Michielin, Thiago Quinaglia, et al.. (2022). Renin–angiotensin–aldosterone system inhibitors and survival in patients with hypertension treated with immune checkpoint inhibitors. European Journal of Cancer. 163. 108–118. 28 indexed citations
6.
Koch, Peter D., Mikäel J. Pittet, & Ralph Weissleder. (2020). The chemical biology of IL-12 production via the non-canonical NFkB pathway. RSC Chemical Biology. 1(4). 166–176. 21 indexed citations
7.
Stokes, Kate L., et al.. (2019). Natural killer cells limit the clearance of senescent lung adenocarcinoma cells. Oncogenesis. 8(4). 24–24. 16 indexed citations
8.
Binnewies, Mikhail, Edward W. Roberts, Kelly Kersten, et al.. (2018). Understanding the tumor immune microenvironment (TIME) for effective therapy. Nature Medicine. 24(5). 541–550. 3986 indexed citations breakdown →
9.
Arlauckas, Sean P., Christopher Garris, Rainer H. Köhler, et al.. (2017). In vivo imaging reveals a tumor-associated macrophage–mediated resistance pathway in anti–PD-1 therapy. Science Translational Medicine. 9(389). 504 indexed citations breakdown →
10.
Pucci, Ferdinando, Christopher Garris, Charles Pin‐Kuang Lai, et al.. (2016). SCS macrophages suppress melanoma by restricting tumor-derived vesicle–B cell interactions. Science. 352(6282). 242–246. 258 indexed citations
11.
Spiegel, Asaf, Mary W. Brooks, Ferenc Reinhardt, et al.. (2016). Neutrophils Suppress Intraluminal NK Cell–Mediated Tumor Cell Clearance and Enhance Extravasation of Disseminated Carcinoma Cells. Cancer Discovery. 6(6). 630–649. 370 indexed citations
12.
Miller, Miles A., Yao‐Rong Zheng, Suresh Gadde, et al.. (2015). Tumour-associated macrophages act as a slow-release reservoir of nano-therapeutic Pt(IV) pro-drug. Nature Communications. 6(1). 8692–8692. 366 indexed citations
13.
Lee, Won Woo, Brett Marinelli, Anja M. van der Laan, et al.. (2012). PET/MRI of Inflammation in Myocardial Infarction. Journal of the American College of Cardiology. 59(2). 153–163. 255 indexed citations
14.
Cortez‐Retamozo, Virna, Martin Etzrodt, Andita Newton, et al.. (2012). Origins of tumor-associated macrophages and neutrophils. Proceedings of the National Academy of Sciences. 109(7). 2491–2496. 521 indexed citations breakdown →
15.
Rauch, Philipp J., Aleksey Chudnovskiy, Clinton S. Robbins, et al.. (2012). Innate Response Activator B Cells Protect Against Microbial Sepsis. Science. 335(6068). 597–601. 314 indexed citations
16.
Świrski, Filip K., Matthias Nahrendorf, Martin Etzrodt, et al.. (2009). Identification of Splenic Reservoir Monocytes and Their Deployment to Inflammatory Sites. Science. 325(5940). 612–616. 1708 indexed citations breakdown →
17.
Shaw, Stanley Y., et al.. (2008). Perturbational profiling of nanomaterial biologic activity. Proceedings of the National Academy of Sciences. 105(21). 7387–7392. 188 indexed citations
18.
Nahrendorf, Matthias, Filip K. Świrski, Elena Aïkawa, et al.. (2007). The healing myocardium sequentially mobilizes two monocyte subsets with divergent and complementary functions. The Journal of Experimental Medicine. 204(12). 3037–3047. 1769 indexed citations breakdown →
19.
Chen, Mei-Ling, Mikäel J. Pittet, Leonid Gorelik, et al.. (2004). Regulatory T cells suppress tumor-specific CD8 T cell cytotoxicity through TGF-β signals in vivo. Proceedings of the National Academy of Sciences. 102(2). 419–424. 636 indexed citations breakdown →
20.
Speiser, Daniel E., Marco Migliaccio, Mikäel J. Pittet, et al.. (2001). Human CD8+ T cells expressing HLA-DR and CD28 show telomerase activity and are distinct from cytolytic effector T cells. European Journal of Immunology. 31(2). 459–466. 39 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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