David A. Russler‐Germain
- Hematology top 2%
- Acute Myeloid Leukemia Research 5
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 4
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 6
- Oncology top 10%
- CAR-T cell therapy research 11
- Genetics top 10%
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- Lymphoma Diagnosis and Treatment 13
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- Monoclonal and Polyclonal Antibodies Research 3
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- Immune Cell Function and Interaction 3
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- Cutaneous lymphoproliferative disorders research 3
- Co-authors
- Robert S. FultonTamara LamprechtRichard K. WilsonDavid H. SpencerMatthew R. MeyerMargaret A. YoungPetra Erdmann-GilmoreR. Reid Townsend
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
David A. Russler‐Germain
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Hematology 388
- Cancer Research 193
- Molecular Biology 753
- Oncology 261
- Genetics 99
Countries citing papers authored by David A. Russler‐Germain
This map shows the geographic impact of David A. Russler‐Germain'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 A. Russler‐Germain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Russler‐Germain more than expected).
Fields of papers citing papers by David A. Russler‐Germain
This network shows the impact of papers produced by David A. Russler‐Germain. 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 A. Russler‐Germain. The network helps show where David A. Russler‐Germain may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David A. Russler‐Germain, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 66 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 44 | |
| 14 | 2020 | 1 | |
| 15 | 2017 | 149 | |
| 16 | 2017 | 68 | |
| 17 | 2014 | 316 | |
| 18 | 2012 | 45 | |
| 19 | 2012 | 1 | |
| 20 | 2005 | 45 |
About David A. Russler‐Germain
David A. Russler‐Germain is a scholar working on Pathology and Forensic Medicine, Hematology and Oncology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), CAR-T cell therapy research (11 papers), Epigenetics and DNA Methylation (6 papers), Acute Myeloid Leukemia Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Cell Function and Interaction (3 papers) and Cutaneous lymphoproliferative disorders research (3 papers). The work is most often cited by research in Hematology (388 citations), Cancer Research (193 citations) and Molecular Biology (753 citations). David A. Russler‐Germain has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Robert S. Fulton, Tamara Lamprecht, Richard K. Wilson, David H. Spencer, Matthew R. Meyer, Margaret A. Young, Petra Erdmann-Gilmore, R. Reid Townsend, Chris Miller and T J Ley. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.