Brad E Wasserman
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Lung Cancer Research Studies
- HER2/EGFR in Cancer Research
-
- Cancer Genomics and Diagnostics
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 4
- Cancer Cells and Metastasis 2
-
- Cardiac pacing and defibrillation studies 2
- Cardiovascular Function and Risk Factors 1
- Co-authors
- David L. Rimm (5 shared papers)Vasiliki Pelekanou (3 shared papers)Daniel Carvajal‐Hausdorf (3 shared papers)Nikita Lavanya Mani (2 shared papers)Kurt Alex Schalper (2 shared papers)Mehmet Altan (2 shared papers)Jamaal Rehman (1 shared paper)Gang Han (1 shared paper)
- Journals
- Nature Reviews Cardiology (1 paper)Laboratory Investigation (1 paper)JACC. Clinical electrophysiology (1 paper)Modern Pathology (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Brad E Wasserman
8 papers receiving 477 citations
Peers
Comparison fields: 5 of 46
- Oncology 316
- Cancer Research 61
- Medical Laboratory Technology 6
- Immunology 84
- Pulmonary and Respiratory Medicine 98
Countries citing papers authored by Brad E Wasserman
This map shows the geographic impact of Brad E Wasserman'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 Brad E Wasserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad E Wasserman more than expected).
Fields of papers citing papers by Brad E Wasserman
This network shows the impact of papers produced by Brad E Wasserman. 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 Brad E Wasserman. The network helps show where Brad E Wasserman may publish in the future.
Co-authors
The 25 scholars most cited alongside Brad E Wasserman, 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 | 2016 | 140 | |
| 2 | 2018 | 96 | |
| 3 | 2017 | 94 | |
| 4 | 2018 | 74 | |
| 5 | 2011 | 30 | |
| 6 | 2017 | 22 | |
| 7 | 2017 | 21 | |
| 8 | 2018 | 9 |
About Brad E Wasserman
Brad E Wasserman is a scholar working on Oncology, Cardiology and Cardiovascular Medicine, Microbiology, Psychiatry and Mental health and Immunology, having authored 8 papers that have together received 486 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Cancer Cells and Metastasis (2 papers), Cardiac pacing and defibrillation studies (2 papers), Gene expression and cancer classification (1 paper), Cardiovascular Function and Risk Factors (1 paper), Medical Device Sterilization and Disinfection (1 paper), Immunotherapy and Immune Responses (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Oncology (316 citations), Cancer Research (61 citations), Medical Laboratory Technology (6 citations), Immunology (84 citations) and Pulmonary and Respiratory Medicine (98 citations). Brad E Wasserman has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include David L. Rimm, Vasiliki Pelekanou, Daniel Carvajal‐Hausdorf, Nikita Lavanya Mani, Kurt Alex Schalper, Mehmet Altan, Jamaal Rehman, Gang Han, Joseph Francis McLaughlin and Lajos Pusztai. Their work appears in journals such as Nature Reviews Cardiology, Laboratory Investigation, JACC. Clinical electrophysiology, Modern Pathology and Molecular Cancer Therapeutics.
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.