David M. Richards

2.3k total citations
30 papers, 1.7k citations indexed

About

David M. Richards is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, David M. Richards has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 8 papers in Oncology and 8 papers in Epidemiology. Recurrent topics in David M. Richards's work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (13 papers) and Immunotherapy and Immune Responses (11 papers). David M. Richards is often cited by papers focused on Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (13 papers) and Immunotherapy and Immune Responses (11 papers). David M. Richards collaborates with scholars based in Germany, United States and Croatia. David M. Richards's co-authors include Markus Feuerer, Rex N. Brogden, R.C. Heel, Jenny Hansson, Jeroen Krijgsveld, T.M. Speight, G.S. Avery, B. Holmes, Alan Ward and Bruno Kyewski and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and PLoS ONE.

In The Last Decade

David M. Richards

30 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Richards Germany 21 823 315 301 262 182 30 1.7k
Maureen N. Ajuebor United States 23 945 1.1× 370 1.2× 362 1.2× 284 1.1× 128 0.7× 31 1.9k
Zhi-Hua Cui China 16 760 0.9× 361 1.1× 206 0.7× 237 0.9× 252 1.4× 41 1.6k
Adriana Vieira‐de‐Abreu Brazil 22 626 0.8× 463 1.5× 120 0.4× 195 0.7× 166 0.9× 35 1.6k
Tomoaki Koga Japan 25 489 0.6× 716 2.3× 204 0.7× 217 0.8× 244 1.3× 67 1.7k
Eun Young Choi South Korea 21 688 0.8× 660 2.1× 213 0.7× 213 0.8× 152 0.8× 55 2.0k
George D. Kalliolias United States 21 1.1k 1.4× 779 2.5× 449 1.5× 210 0.8× 154 0.8× 35 2.5k
Kyra A. Gelderman Netherlands 23 1.4k 1.7× 621 2.0× 242 0.8× 144 0.5× 177 1.0× 57 2.2k
Kazuko Uno Japan 25 565 0.7× 673 2.1× 348 1.2× 195 0.7× 269 1.5× 100 2.2k
Klaus G. Schmetterer Austria 24 715 0.9× 399 1.3× 337 1.1× 162 0.6× 223 1.2× 66 1.7k
Yumi Aoyama Japan 30 503 0.6× 942 3.0× 218 0.7× 222 0.8× 191 1.0× 167 3.1k

Countries citing papers authored by David M. Richards

Since Specialization
Citations

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

Fields of papers citing papers by David M. Richards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Richards. 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 David M. Richards. The network helps show where David M. Richards may publish in the future.

Co-authorship network of co-authors of David M. Richards

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Richards. A scholar is included among the top collaborators of David M. Richards 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 David M. Richards. David M. Richards 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.
Richards, David M., Christian J. Merz, Christian Gieffers, & Andriy Krendyukov. (2021). CD95L and Anti-Tumor Immune Response: Current Understanding and New Evidence. Cancer Management and Research. Volume 13. 2477–2482. 11 indexed citations
2.
Delacher, Michael, Yonatan Herzig, Katrin Eichelbaum, et al.. (2020). Quantitative Proteomics Identifies TCF1 as a Negative Regulator of Foxp3 Expression in Conventional T Cells. iScience. 23(5). 101127–101127. 4 indexed citations
3.
Richards, David M., Viola Marschall, Christian J. Merz, et al.. (2019). HERA-GITRL activates T cells and promotes anti-tumor efficacy independent of FcγR-binding functionality. Journal for ImmunoTherapy of Cancer. 7(1). 191–191. 24 indexed citations
4.
Merz, Christian J., Jaromir Sykora, Viola Marschall, et al.. (2018). The Hexavalent CD40 Agonist HERA-CD40L Induces T-Cell–mediated Antitumor Immune Response Through Activation of Antigen-presenting Cells. Journal of Immunotherapy. 41(9). 385–398. 21 indexed citations
5.
Thiemann, Meinolf, David M. Richards, Michael Kluge, et al.. (2018). A Single-Chain-Based Hexavalent CD27 Agonist Enhances T Cell Activation and Induces Anti-Tumor Immunity. Frontiers in Oncology. 8. 387–387. 17 indexed citations
6.
Richards, David M., Bruno Kyewski, & Markus Feuerer. (2016). Re-examining the Nature and Function of Self-Reactive T cells. Trends in Immunology. 37(2). 114–125. 60 indexed citations
7.
Richards, David M., Michael Delacher, Yael Goldfarb, et al.. (2015). Treg Cell Differentiation: From Thymus to Peripheral Tissue. Progress in molecular biology and translational science. 136. 175–205. 45 indexed citations
8.
Medříková, Daša, Tjeerd Sijmonsma, David M. Richards, et al.. (2015). Brown Adipose Tissue Harbors a Distinct Sub-Population of Regulatory T Cells. PLoS ONE. 10(2). e0118534–e0118534. 63 indexed citations
9.
Richards, David M., et al.. (2015). Premature Expression of Foxp3 in Double-Negative Thymocytes. PLoS ONE. 10(5). e0127038–e0127038. 3 indexed citations
10.
Richards, David M., et al.. (2015). The Contained Self-Reactive Peripheral T Cell Repertoire: Size, Diversity, and Cellular Composition. The Journal of Immunology. 195(5). 2067–2079. 25 indexed citations
11.
Delacher, Michael, et al.. (2014). Transcriptional Control of Regulatory T cells. Current topics in microbiology and immunology. 381. 83–124. 15 indexed citations
12.
Richards, David M., et al.. (2013). Origin of monocytes and macrophages in a committed progenitor. Nature Immunology. 14(8). 821–830. 471 indexed citations
13.
Richards, David M., et al.. (2012). Monocytes and Macrophages in Cancer: Development and Functions. Cancer Microenvironment. 6(2). 179–191. 150 indexed citations
14.
Richards, David M., et al.. (2007). Allopeptide‐Specific CD4+ T Cells Facilitate the Differentiation of Directly Alloreactive Graft‐Infiltrating CD8+ T Cells. American Journal of Transplantation. 7(10). 2269–2278. 5 indexed citations
15.
Richards, David M., et al.. (2005). Sharing of Class I MHC Molecules Between Donor and Host Promotes the Infiltration of Allografts by mHAg-Reactive CD8+ T cells. American Journal of Transplantation. 5(4). 832–838. 4 indexed citations
16.
17.
Richards, David M., et al.. (2003). Trachea Allograft Class I Molecules Directly Activate and Retain CD8+ T Cells That Cause Obliterative Airways Disease. The Journal of Immunology. 171(12). 6919–6928. 26 indexed citations
18.
Holmes, B., Rex N. Brogden, & David M. Richards. (1985). Norfloxacin A Review of Its Antibacterial Activity, Pharmacokinetic Properties and Therapeutic Use. Drugs. 30(6). 482–513. 113 indexed citations
19.
Richards, David M. & Rex N. Brogden. (1985). Pirbuterol A Preliminary Review of its Pharmacological Properties and Therapeutic Efficacy in Reversible Bronchospastic Disease. Drugs. 30(1). 6–21. 7 indexed citations
20.
Richards, David M., Andrea Carmine, Rex N. Brogden, et al.. (1983). Acyclovir A Review of its Pharmacodynamic Properties and Therapeutic Efficacy. Drugs. 26(5). 378–438. 97 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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