Daniel Hawiger

8.1k total citations · 3 hit papers
36 papers, 6.5k citations indexed

About

Daniel Hawiger is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel Hawiger has authored 36 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 7 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel Hawiger's work include T-cell and B-cell Immunology (30 papers), Immunotherapy and Immune Responses (28 papers) and Immune Cell Function and Interaction (22 papers). Daniel Hawiger is often cited by papers focused on T-cell and B-cell Immunology (30 papers), Immunotherapy and Immune Responses (28 papers) and Immune Cell Function and Interaction (22 papers). Daniel Hawiger collaborates with scholars based in United States, Japan and Italy. Daniel Hawiger's co-authors include Michel C. Nussenzweig, Ralph M. Steinman, Kayo Inaba, Jeffrey V. Ravetch, Karsten Mahnke, Harald von Boehmer, Karsten Kretschmer, Irina Apostolou, Khashayarsha Khazaie and Miguel N. Rivera and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Hawiger

36 papers receiving 6.4k citations

Hit Papers

Tolerogenic Dendritic Cells 2001 2026 2009 2017 2003 2001 2005 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Hawiger United States 20 5.8k 1.1k 933 381 292 36 6.5k
Rachel Ettinger United States 32 4.3k 0.7× 1.4k 1.3× 831 0.9× 403 1.1× 423 1.4× 53 5.9k
Ian R. Rifkin United States 28 4.2k 0.7× 980 0.9× 572 0.6× 236 0.6× 420 1.4× 61 5.4k
Patrizia Scapini Italy 33 3.5k 0.6× 1.1k 1.0× 1.1k 1.1× 242 0.6× 396 1.4× 50 5.0k
Kazuko Shibuya Japan 34 3.8k 0.7× 911 0.8× 805 0.9× 220 0.6× 402 1.4× 90 5.0k
Xuyu Zhou China 26 5.1k 0.9× 981 0.9× 1.1k 1.2× 689 1.8× 431 1.5× 64 6.4k
Philip J. Lucas United States 23 4.5k 0.8× 713 0.6× 1.1k 1.2× 353 0.9× 397 1.4× 32 5.6k
Motoko Y. Kimura Japan 32 4.7k 0.8× 1.2k 1.1× 1.1k 1.2× 388 1.0× 311 1.1× 71 6.0k
Raul M. Torres United States 36 3.2k 0.5× 1.5k 1.3× 492 0.5× 377 1.0× 308 1.1× 103 4.9k
Mikael C. I. Karlsson Sweden 39 3.4k 0.6× 1.9k 1.8× 1.1k 1.2× 277 0.7× 295 1.0× 104 5.4k
Zoltán Fehérvári United States 19 4.7k 0.8× 636 0.6× 1.4k 1.5× 655 1.7× 372 1.3× 89 6.1k

Countries citing papers authored by Daniel Hawiger

Since Specialization
Citations

This map shows the geographic impact of Daniel Hawiger'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 Daniel Hawiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hawiger more than expected).

Fields of papers citing papers by Daniel Hawiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Hawiger. 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 Daniel Hawiger. The network helps show where Daniel Hawiger may publish in the future.

Co-authorship network of co-authors of Daniel Hawiger

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hawiger. A scholar is included among the top collaborators of Daniel Hawiger 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 Daniel Hawiger. Daniel Hawiger 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.
Hawiger, Daniel. (2024). Emerging T cell immunoregulatory mechanisms in multiple sclerosis and Alzheimer’s disease. Frontiers in Aging Neuroscience. 16. 1350240–1350240. 3 indexed citations
2.
Hawiger, Daniel, et al.. (2024). Single-cell sequencing analysis within biologically relevant dimensions. Cell Systems. 15(1). 83–103.e11. 2 indexed citations
3.
Hawiger, Daniel, et al.. (2024). Episomal Vectors for Stable Production of Recombinant Proteins and Engineered Antibodies. Antibodies. 13(1). 18–18. 1 indexed citations
4.
Hawiger, Daniel, et al.. (2023). Activation, Amplification, and Ablation as Dynamic Mechanisms of Dendritic Cell Maturation. Biology. 12(5). 716–716. 7 indexed citations
5.
Hawiger, Daniel, et al.. (2023). Life and death of tolerogenic dendritic cells. Trends in Immunology. 44(2). 110–118. 15 indexed citations
6.
Hawiger, Daniel, et al.. (2022). Applications of Antibody-Based Antigen Delivery Targeted to Dendritic Cells In Vivo. Antibodies. 11(1). 8–8. 8 indexed citations
7.
Opejin, Adeleye, Courtney A. Iberg, Cindy Gross, et al.. (2021). Landscape of Hopx expression in cells of the immune system. Heliyon. 7(11). e08311–e08311. 3 indexed citations
8.
Durante, Mariaconcetta, Silvia Squillace, Filomena Lauro, et al.. (2021). Adenosine A3 agonists reverse neuropathic pain via T cell–mediated production of IL-10. Journal of Clinical Investigation. 131(7). 52 indexed citations
9.
Opejin, Adeleye, Ziva Misulovin, Cindy Gross, et al.. (2020). A Two-Step Process of Effector Programming Governs CD4+ T Cell Fate Determination Induced by Antigenic Activation in the Steady State. Cell Reports. 33(8). 108424–108424. 17 indexed citations
10.
Iberg, Courtney A. & Daniel Hawiger. (2019). Advancing immunomodulation by in vivo antigen delivery to DEC-205 and other cell surface molecules using recombinant chimeric antibodies. International Immunopharmacology. 73. 575–580. 27 indexed citations
11.
Hawiger, Daniel, et al.. (2018). Immunomodulatory Bonds of the Partnership between Dendritic Cells and T Cells. Critical Reviews in Immunology. 38(5). 379–401. 64 indexed citations
12.
Iberg, Courtney A., Andrew Jones, & Daniel Hawiger. (2017). Dendritic Cells As Inducers of Peripheral Tolerance. Trends in Immunology. 38(11). 793–804. 134 indexed citations
13.
Jones, Andrew & Daniel Hawiger. (2017). Peripherally Induced Regulatory T Cells: Recruited Protectors of the Central Nervous System against Autoimmune Neuroinflammation. Frontiers in Immunology. 8. 532–532. 44 indexed citations
14.
Jones, Andrew, et al.. (2016). Immunomodulatory Functions of BTLA and HVEM Govern Induction of Extrathymic Regulatory T Cells and Tolerance by Dendritic Cells. Immunity. 45(5). 1066–1077. 113 indexed citations
15.
Opejin, Adeleye, et al.. (2015). CD5 Instructs Extrathymic Regulatory T Cell Development in Response to Self and Tolerizing Antigens. Immunity. 42(3). 471–483. 78 indexed citations
16.
Hawiger, Daniel, Yisong Y. Wan, Elizabeth E. Eynon, & Richard A. Flavell. (2010). The transcription cofactor Hopx is required for regulatory T cell function in dendritic cell–mediated peripheral T cell unresponsiveness. Nature Immunology. 11(10). 962–968. 48 indexed citations
17.
Hawiger, Daniel, Elise Tran, Wei Du, et al.. (2008). ICOS Mediates the Development of Insulin-Dependent Diabetes Mellitus in Nonobese Diabetic Mice. The Journal of Immunology. 180(5). 3140–3147. 39 indexed citations
18.
Kretschmer, Karsten, Irina Apostolou, Daniel Hawiger, et al.. (2005). Inducing and expanding regulatory T cell populations by foreign antigen. Nature Immunology. 6(12). 1219–1227. 1015 indexed citations breakdown →
19.
20.
Steinman, Ralph M., Daniel Hawiger, Kang Liu, et al.. (2003). Dendritic Cell Function in Vivo during the Steady State: A Role in Peripheral Tolerance. Annals of the New York Academy of Sciences. 987(1). 15–25. 357 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026