Holden T. Maecker

28.8k total citations · 7 hit papers
260 papers, 15.5k citations indexed

About

Holden T. Maecker is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Holden T. Maecker has authored 260 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Immunology, 86 papers in Molecular Biology and 45 papers in Oncology. Recurrent topics in Holden T. Maecker's work include Immune Cell Function and Interaction (76 papers), T-cell and B-cell Immunology (70 papers) and Single-cell and spatial transcriptomics (53 papers). Holden T. Maecker is often cited by papers focused on Immune Cell Function and Interaction (76 papers), T-cell and B-cell Immunology (70 papers) and Single-cell and spatial transcriptomics (53 papers). Holden T. Maecker collaborates with scholars based in United States, Canada and Germany. Holden T. Maecker's co-authors include Shoshana Levy, Scott C. Todd, J. Philip McCoy, Robert B. Nussenblatt, Mark M. Davis, Vernon C. Maino, Michael D. Leipold, Cornelia L. Dekker, Yael Rosenberg‐Hasson and Joseph Trotter and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Holden T. Maecker

252 papers receiving 15.2k citations

Hit Papers

Standardizing immunopheno... 1997 2026 2006 2016 2012 1997 2015 2014 2014 250 500 750
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. Standardizing immunophenotyping for the Human Immunology Project
    2012 806 citations Holden T. Maecker et al. profile →
  2. The tetraspanin superfamily: molecular facilitators
    1997 804 citations Holden T. Maecker et al. profile →
  3. Variation in the Human Immune System Is Largely Driven by Non-Heritable Influences
    2015 705 citations David Furman, Shai S. Shen-Orr et al. profile →
  4. mTOR inhibition improves immune function in the elderly
    2014 563 citations Holden T. Maecker et al. profile →
  5. Peanut oral immunotherapy results in increased antigen-induced regulatory T-cell function and hypomethylation of forkhead box protein 3 (FOXP3)
    2014 372 citations Mindy Tsai, Holden T. Maecker et al. profile →
  6. Reversal of epigenetic aging and immunosenescent trends in humans
    2019 310 citations Gregory M. Fahy, Robert T. Brooke et al. Aging Cell profile →
  7. Cytokine signature associated with disease severity in chronic fatigue syndrome patients
    2017 268 citations Tyson H. Holmes, Holden T. Maecker 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
Holden T. Maecker United States 66 7.0k 4.5k 2.7k 2.4k 1.6k 260 15.5k
Dennis D. Taub United States 76 7.5k 1.1× 4.5k 1.0× 2.3k 0.9× 3.8k 1.6× 1.2k 0.8× 235 17.9k
Andrew H. Lichtman United States 61 8.8k 1.3× 4.1k 0.9× 2.2k 0.8× 3.0k 1.2× 1.2k 0.7× 154 15.8k
Marco A. Cassatella Italy 75 13.6k 1.9× 5.2k 1.2× 2.1k 0.8× 3.6k 1.5× 1.6k 1.0× 240 21.7k
Simon A. Jones United Kingdom 66 7.9k 1.1× 3.7k 0.8× 1.9k 0.7× 5.1k 2.2× 702 0.4× 160 16.7k
Norma P. Gerard United States 66 8.3k 1.2× 4.5k 1.0× 1.8k 0.7× 3.0k 1.2× 1.0k 0.6× 131 17.6k
Triantafyllos Chavakis Germany 73 8.0k 1.1× 6.2k 1.4× 2.6k 1.0× 1.2k 0.5× 1.9k 1.2× 262 20.1k
John H. Kehrl United States 78 7.9k 1.1× 10.8k 2.4× 2.8k 1.1× 3.1k 1.3× 1.4k 0.9× 232 23.2k
Lars E. French Switzerland 70 7.3k 1.0× 6.7k 1.5× 3.8k 1.4× 4.4k 1.9× 701 0.4× 482 21.2k
Arne N. Akbar United Kingdom 75 11.1k 1.6× 3.0k 0.7× 3.6k 1.3× 2.6k 1.1× 655 0.4× 209 17.5k
Irmgard Förster Germany 50 8.3k 1.2× 4.2k 0.9× 1.6k 0.6× 2.6k 1.1× 514 0.3× 117 14.8k

Countries citing papers authored by Holden T. Maecker

Since Specialization
Citations

This map shows the geographic impact of Holden T. Maecker'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 Holden T. Maecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holden T. Maecker more than expected).

Fields of papers citing papers by Holden T. Maecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Holden T. Maecker. 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 Holden T. Maecker. The network helps show where Holden T. Maecker may publish in the future.

Co-authorship network of co-authors of Holden T. Maecker

This figure shows the co-authorship network connecting the top 25 collaborators of Holden T. Maecker. A scholar is included among the top collaborators of Holden T. Maecker 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 Holden T. Maecker. Holden T. Maecker 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.
Kowli, Sangeeta, Sheroy Minocherhomji, Olivia M. Martinez, et al.. (2025). Characterization of immune phenotypes in peripheral blood of adult renal transplant recipients using mass cytometry (CyTOF). ImmunoHorizons. 9(4). 1 indexed citations
2.
Gao, Fei, Mark M. Davis, Thomas J. Scriba, et al.. (2025). CD4+ T cell receptor repertoire and antigen-specific T cell responses in people who “resist” infection of Mycobacterium tuberculosis 3108. The Journal of Immunology. 214(Supplement_1).
3.
Österberg, Björn, Sara Falck‐Jones, Sindhu Vangeti, et al.. (2025). Decreased levels and function of dendritic cells in blood and airways predict COVID‐19 severity. Clinical & Translational Immunology. 14(3). e70026–e70026.
4.
Han, Xiaorui, Xuhuai Ji, Ramona A. Hoh, et al.. (2025). Peanut allergy oral immunotherapy drives single-cell multi-omic changes in peanut-reactive T cells associated with sustained unresponsiveness. Nature Immunology. 26(12). 2328–2342.
5.
Jahanbani, Fereshteh, Nathan D. Jones, Holden T. Maecker, et al.. (2024). Longitudinal cytokine and multi-modal health data of an extremely severe ME/CFS patient with HSD reveals insights into immunopathology, and disease severity. Frontiers in Immunology. 15. 3 indexed citations
6.
Aggarwal, Charu, Daniel H. Sterman, Erin R. Alesi, et al.. (2024). Overall survival after treatment with CAN-2409 plus valacyclovir in combination with continued ICI in patients with stage III/IV NSCLC with an inadequate response to ICI.. Journal of Clinical Oncology. 42(16_suppl). 8634–8634. 6 indexed citations
7.
Pandey, Surya, Jeffrey A. Sosman, Marie‐Pier Tétreault, et al.. (2024). Immune Assessment Today: Optimizing and Standardizing Efforts to Monitor Immune Responses in Cancer and Beyond. Cancers. 16(3). 475–475. 1 indexed citations
8.
Maecker, Holden T., et al.. (2023). Comparison of multiplexed protein analysis platforms for the detection of biomarkers in the nasal epithelial lining fluid of healthy subjects. Journal of Immunological Methods. 517. 113473–113473. 8 indexed citations
9.
Liu, Yi, Jason Wu, Kanagavel Murugesan, et al.. (2023). Enkurin: a novel marker for myeloproliferative neoplasms from platelet, megakaryocyte, and whole blood specimens. Blood Advances. 7(18). 5433–5445. 3 indexed citations
10.
Newman, Sharon, Brandon D. Wilson, Hnin Yin Yin Nyein, et al.. (2023). Extending the dynamic range of biomarker quantification through molecular equalization. Nature Communications. 14(1). 4192–4192. 7 indexed citations
11.
Sigal, Natalia & Holden T. Maecker. (2022). Mass Cytometry Assessment of Cell Phenotypes and Signaling States in Human Whole Blood. Methods in molecular biology. 2543. 113–128. 1 indexed citations
12.
Kaushik, Abhinav, Diane Dunham, Xiaorui Han, et al.. (2022). CD8+ T cell differentiation status correlates with the feasibility of sustained unresponsiveness following oral immunotherapy. Nature Communications. 13(1). 6646–6646. 9 indexed citations
13.
Manohar, Murli, Samuel J. S. Rubin, Priyanka B. Subrahmanyam, et al.. (2021). Novel Circulating and Tissue Monocytes as Well as Macrophages in Pancreatitis and Recovery. Gastroenterology. 161(6). 2014–2029.e14. 41 indexed citations
14.
Wilson, Jennifer G., Laura J. Simpson, Anne-Maud Ferreira, et al.. (2020). Cytokine profile in plasma of severe COVID-19 does not differ from ARDS and sepsis. JCI Insight. 5(17). 179 indexed citations
15.
Tao, Jianling, Laura H. Mariani, Sean Eddy, et al.. (2020). JAK-STAT Activity in Peripheral Blood Cells and Kidney Tissue in IgA Nephropathy. Clinical Journal of the American Society of Nephrology. 15(7). 973–982. 29 indexed citations
16.
Prunicki, Mary, Nicholas Cauwenberghs, Jennifer Arthur Ataam, et al.. (2020). Immune biomarkers link air pollution exposure to blood pressure in adolescents. Environmental Health. 19(1). 108–108. 35 indexed citations
17.
Fahy, Gregory M., Robert T. Brooke, J. P. Watson, et al.. (2019). Reversal of epigenetic aging and immunosenescent trends in humans. Aging Cell. 18(6). e13028–e13028. 310 indexed citations breakdown →
18.
Alpert, Ayelet, Yishai Pickman, Michael D. Leipold, et al.. (2019). A clinically meaningful metric of immune age derived from high-dimensional longitudinal monitoring. Nature Medicine. 25(3). 487–495. 292 indexed citations
19.
Karnell, Fredrick G., Dan Lin, Samantha Motley, et al.. (2017). Reconstitution of immune cell populations in multiple sclerosis patients after autologous stem cell transplantation. Clinical & Experimental Immunology. 189(3). 268–278. 52 indexed citations
20.

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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