David Redmond
Impact in
- Biological Psychiatry top 5%
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
-
- Epigenetics and DNA Methylation 8
- Immunology 20
- Immune Cell Function and Interaction 6
- Immune cells in cancer 6
- Co-authors
- Olivier Elemento (17 shared papers)Shahin Rafii (18 shared papers)Ari Melnick (10 shared papers)Asaf Poran (1 shared paper)Sean Houghton (10 shared papers)Raphaël Lis (7 shared papers)Wayne Tam (8 shared papers)Jenny Xiang (7 shared papers)
- Journals
- Nature Communications (7 papers)Blood (6 papers)Cell Reports (3 papers)Journal of Visualized Experiments (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesMexicoItaly
In The Last Decade
David Redmond
54 papers receiving 1.9k citations
David Redmond's Hit Papers
Peers
Comparison fields: 5 of 115
- Biological Psychiatry 97
- Immunology 600
- Oncology 468
- Cancer Research 241
- Neurology 125
Countries citing papers authored by David Redmond
This map shows the geographic impact of David Redmond'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 Redmond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Redmond more than expected).
Fields of papers citing papers by David Redmond
This network shows the impact of papers produced by David Redmond. 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 Redmond. The network helps show where David Redmond may publish in the future.
Co-authors
The 25 scholars most cited alongside David Redmond, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Blockade of the AHR restricts a Treg-macrophage suppressive axis induced by L-Kynurenine Hit paper breakdown → | 2020 | 335 |
| 2 | 2017 | 154 | |
| 3 | 2021 | 146 | |
| 4 | 2017 | 129 | |
| 5 | 2016 | 98 | |
| 6 | 2015 | 94 | |
| 7 | 2022 | 87 | |
| 8 | 2015 | 82 | |
| 9 | 2019 | 80 | |
| 10 | 2014 | 64 | |
| 11 | 2015 | 55 | |
| 12 | 2018 | 53 | |
| 13 | 1964 | 53 | |
| 14 | 2021 | 50 | |
| 15 | 2019 | 49 | |
| 16 | 2014 | 44 | |
| 17 | 2022 | 39 | |
| 18 | 2021 | 36 | |
| 19 | 2023 | 26 | |
| 20 | 2022 | 25 |
About David Redmond
David Redmond is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Pathology and Forensic Medicine, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Epigenetics and DNA Methylation (8 papers), Immune Cell Function and Interaction (6 papers), Immune cells in cancer (6 papers), Zebrafish Biomedical Research Applications (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Pancreatic function and diabetes (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). The work is most often cited by research in Biological Psychiatry (97 citations), Immunology (600 citations), Oncology (468 citations), Cancer Research (241 citations) and Neurology (125 citations). David Redmond has collaborated with scholars based in United States, Mexico and Italy. Frequent co-authors include Olivier Elemento, Shahin Rafii, Ari Melnick, Asaf Poran, Sean Houghton, Raphaël Lis, Wayne Tam, Jenny Xiang, José Gabriel Barcia Durán and Tyler M. Lu. Their work appears in journals such as Nature Communications, Blood, Cell Reports, Journal of Visualized Experiments and Scientific Reports.
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.