David Sermer
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
-
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 11
- CAR-T cell therapy research 8
-
- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Renier J. Brentjens (1 shared paper)Anas Younes (5 shared papers)Laura Pasqualucci (1 shared paper)Hans‐Guido Wendel (1 shared paper)Ari Melnick (1 shared paper)Kenneth Getz (1 shared paper)Robert E. Martell (1 shared paper)Kenneth I. Kaitin (1 shared paper)
- Journals
- Blood (8 papers)Hematological Oncology (3 papers)The Oncologist (2 papers)Journal of Clinical Oncology (2 papers)Expert Review of Anticancer Therapy (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
David Sermer
22 papers receiving 404 citations
Peers
Comparison fields: 5 of 55
- Oncology 216
- Pathology and Forensic Medicine 95
- Genetics 54
- Immunology 92
- Hematology 25
Countries citing papers authored by David Sermer
This map shows the geographic impact of David Sermer'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 Sermer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sermer more than expected).
Fields of papers citing papers by David Sermer
This network shows the impact of papers produced by David Sermer. 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 Sermer. The network helps show where David Sermer may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sermer, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 144 | |
| 2 | 2019 | 96 | |
| 3 | 2012 | 31 | |
| 4 | 2022 | 21 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2014 | 13 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2022 | 8 | |
| 12 | 2007 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2019 | 1 |
About David Sermer
David Sermer is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Genetics and Immunology, having authored 22 papers that have together received 412 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Protein Degradation and Inhibitors (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Oncology (216 citations), Pathology and Forensic Medicine (95 citations), Genetics (54 citations), Immunology (92 citations) and Hematology (25 citations). David Sermer has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Renier J. Brentjens, Anas Younes, Laura Pasqualucci, Hans‐Guido Wendel, Ari Melnick, Kenneth Getz, Robert E. Martell, Kenneth I. Kaitin, Jeremy S. Abramson and Jon Arnason. Their work appears in journals such as Blood, Hematological Oncology, The Oncologist, Journal of Clinical Oncology and Expert Review of Anticancer Therapy.
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.