David H. Munn
Impact in
- Biological Psychiatry top 0.01%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 0.05%
- Stress Responses and Cortisol
Papers in
- Immunology 136
- Immune Cell Function and Interaction 81
- Immunotherapy and Immune Responses 44
- T-cell and B-cell Immunology 33
- Immune cells in cancer 31
- Reproductive System and Pregnancy 19
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- Tryptophan and brain disorders 95
- Co-authors
- Andrew L. Mellor (86 shared papers)Phillip Chandler (29 shared papers)Madhav Sharma (20 shared papers)Babak Baban (19 shared papers)John T. Attwood (4 shared papers)I. E. Bondarev (3 shared papers)Bruce R. Blazar (33 shared papers)Brendan Marshall (6 shared papers)
- Journals
- Blood (29 papers)The Journal of Immunology (28 papers)Cancer Research (13 papers)Journal for ImmunoTherapy of Cancer (10 papers)Journal of Clinical Oncology (8 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
David H. Munn
221 papers receiving 30.5k citations
David H. Munn's Hit Papers
Peers
Comparison fields: 5 of 152
- Biological Psychiatry 9.4k
- Behavioral Neuroscience 3.8k
- Immunology 17.1k
- Oncology 7.3k
- Neurology 1.6k
Countries citing papers authored by David H. Munn
This map shows the geographic impact of David H. Munn'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 H. Munn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Munn more than expected).
Fields of papers citing papers by David H. Munn
This network shows the impact of papers produced by David H. Munn. 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 H. Munn. The network helps show where David H. Munn may publish in the future.
Co-authors
The 25 scholars most cited alongside David H. Munn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 224 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prevention of Allogeneic Fetal Rejection by Tryptophan Catabolism Hit paper breakdown → | 1998 | 2039 |
| 2 | Ido expression by dendritic cells: tolerance and tryptophan catabolism Hit paper breakdown → | 2004 | 1853 |
| 3 | Activation of Gpr109a, Receptor for Niacin and the Commensal Metabolite Butyrate, Suppresses Colonic Inflammation and Carcinogenesis Hit paper breakdown → | 2014 | 1790 |
| 4 | Inhibition of T Cell Proliferation by Macrophage Tryptophan Catabolism Hit paper breakdown → | 1999 | 1297 |
| 5 | GCN2 Kinase in T Cells Mediates Proliferative Arrest and Anergy Induction in Response to Indoleamine 2,3-Dioxygenase Hit paper breakdown → | 2005 | 974 |
| 6 | Indoleamine 2,3-dioxygenase and tumor-induced tolerance Hit paper breakdown → | 2007 | 853 |
| 7 | Potential Regulatory Function of Human Dendritic Cells Expressing Indoleamine 2,3-Dioxygenase Hit paper breakdown → | 2002 | 814 |
| 8 | IDO in the Tumor Microenvironment: Inflammation, Counter-Regulation, and Tolerance Hit paper breakdown → | 2016 | 798 |
| 9 | Indoleamine 2,3 dioxygenase and metabolic control of immune responses Hit paper breakdown → | 2012 | 795 |
| 10 | Expression of indoleamine 2,3-dioxygenase by plasmacytoid dendritic cells in tumor-draining lymph nodes Hit paper breakdown → | 2004 | 700 |
| 11 | Plasmacytoid dendritic cells from mouse tumor-draining lymph nodes directly activate mature Tregs via indoleamine 2,3-dioxygenase Hit paper breakdown → | 2007 | 652 |
| 12 | Coexpression of Tim-3 and PD-1 identifies a CD8+ T-cell exhaustion phenotype in mice with disseminated acute myelogenous leukemia Hit paper breakdown → | 2011 | 532 |
| 13 | Indoleamine 2,3-dioxygenase is a critical resistance mechanism in antitumor T cell immunotherapy targeting CTLA-4 Hit paper breakdown → | 2013 | 522 |
| 14 | Tryptophan catabolism and T-cell tolerance: immunosuppression by starvation? Hit paper breakdown → | 1999 | 519 |
| 15 | 2007 | 467 | |
| 16 | Immune suppressive mechanisms in the tumor microenvironment Hit paper breakdown → | 2015 | 408 |
| 17 | 2009 | 398 | |
| 18 | 2004 | 384 | |
| 19 | Tumor-Expressed IDO Recruits and Activates MDSCs in a Treg-Dependent Manner Hit paper breakdown → | 2015 | 371 |
| 20 | 2010 | 370 |
About David H. Munn
David H. Munn is a scholar working on Immunology, Biological Psychiatry, Oncology, Molecular Biology and Behavioral Neuroscience, having authored 224 papers that have together received 30.9k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (95 papers), Immune Cell Function and Interaction (81 papers), Immunotherapy and Immune Responses (44 papers), Cancer Immunotherapy and Biomarkers (36 papers), T-cell and B-cell Immunology (33 papers), Immune cells in cancer (31 papers), Stress Responses and Cortisol (22 papers) and Reproductive System and Pregnancy (19 papers). The work is most often cited by research in Biological Psychiatry (9.4k citations), Behavioral Neuroscience (3.8k citations), Immunology (17.1k citations), Oncology (7.3k citations) and Neurology (1.6k citations). David H. Munn has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Andrew L. Mellor, Phillip Chandler, Madhav Sharma, Babak Baban, John T. Attwood, I. E. Bondarev, Bruce R. Blazar, Brendan Marshall, Jeffrey R. Lee and Simon J. Conway. Their work appears in journals such as Blood, The Journal of Immunology, Cancer Research, Journal for ImmunoTherapy of Cancer and Journal of Clinical Oncology.
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.