R. Eric Davis
Impact in
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 46
- Multiple Myeloma Research and Treatments 20
- Acute Myeloid Leukemia Research 15
- Genetics 31
- Chronic Lymphocytic Leukemia Research 26
- Co-authors
- Louis M. StaudtKeith BrownUlrich SiebenlistLloyd T. LamJohn PowellXin YuGeorg LenzWencai Ma
- Journals
- Blood (59 papers)Journal of Clinical Oncology (5 papers)British Journal of Haematology (4 papers)The Journal of Immunology (4 papers)Cancer Research (4 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
R. Eric Davis
159 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Genetics 1.9k
- Pathology and Forensic Medicine 2.4k
- Immunology 2.7k
- Hematology 1.3k
- Oncology 2.6k
Countries citing papers authored by R. Eric Davis
This map shows the geographic impact of R. Eric Davis'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 R. Eric Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Eric Davis more than expected).
Fields of papers citing papers by R. Eric Davis
This network shows the impact of papers produced by R. Eric Davis. 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 R. Eric Davis. The network helps show where R. Eric Davis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Eric Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2023 | 9 | |
| 3 | 2022 | 23 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 25 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 91 | |
| 9 | 2018 | 44 | |
| 10 | 2018 | 58 | |
| 11 | 2018 | 63 | |
| 12 | 2018 | 14 | |
| 13 | 2017 | 40 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 14 | |
| 16 | 2016 | 105 | |
| 17 | 2016 | 5 | |
| 18 | 2010 | 35 | |
| 19 | 2007 | 21 | |
| 20 | T lymphocytes expressing HECA-452 epitope are present in cutaneous acute graft-versus-host disease and erythema multiforme, but not in acute graft-versus-host disease in gut organs. | 1992 | 19 |
About R. Eric Davis
R. Eric Davis is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Immunology and Oncology, having authored 161 papers that have together received 8.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (44 papers), Chronic Lymphocytic Leukemia Research (26 papers), Multiple Myeloma Research and Treatments (20 papers), Acute Myeloid Leukemia Research (15 papers), Protein Degradation and Inhibitors (15 papers), Immune Cell Function and Interaction (14 papers), Immunotherapy and Immune Responses (14 papers) and CAR-T cell therapy research (13 papers). The work is most often cited by research in Genetics (1.9k citations), Pathology and Forensic Medicine (2.4k citations), Immunology (2.7k citations), Hematology (1.3k citations) and Oncology (2.6k citations). R. Eric Davis has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Louis M. Staudt, Keith Brown, Ulrich Siebenlist, Lloyd T. Lam, John Powell, Xin Yu, Georg Lenz, Wencai Ma, Zhiqiang Wang and Lenny Dang. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, The Journal of Immunology and Cancer Research.
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.