Brad Wasserman
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Lung Cancer Research Studies
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- Immunotherapy and Immune Responses
Papers in
- Oncology 8
- Cancer Immunotherapy and Biomarkers 7
- Cancer Cells and Metastasis 2
- Peptidase Inhibition and Analysis 1
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- Cardiac pacing and defibrillation studies 2
- Co-authors
- David L. Rimm (8 shared papers)Vasiliki Pelekanou (5 shared papers)Daniel Carvajal‐Hausdorf (4 shared papers)Nikita Mani (3 shared papers)Kurt A. Schalper (3 shared papers)Mehmet Altan (3 shared papers)Jamaal Rehman (2 shared papers)Joseph McLaughlin (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Breast Cancer Research (1 paper)Nature Reviews Cardiology (1 paper)Laboratory Investigation (1 paper)Heart Rhythm (1 paper)
- Partner nations
- United StatesGreeceUnited Kingdom
In The Last Decade
Brad Wasserman
10 papers receiving 420 citations
Peers
Comparison fields: 5 of 43
- Oncology 300
- Immunology 80
- Cancer Research 53
- Pulmonary and Respiratory Medicine 90
- Medical Laboratory Technology 3
Countries citing papers authored by Brad Wasserman
This map shows the geographic impact of Brad 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 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 Wasserman more than expected).
Fields of papers citing papers by Brad Wasserman
This network shows the impact of papers produced by Brad 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 Wasserman. The network helps show where Brad Wasserman may publish in the future.
Co-authors
The 25 scholars most cited alongside Brad 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 | 126 | |
| 2 | 2017 | 87 | |
| 3 | 2018 | 83 | |
| 4 | 2018 | 65 | |
| 5 | 2011 | 24 | |
| 6 | 2017 | 21 | |
| 7 | 2018 | 8 | |
| 8 | 2017 | 6 | |
| 9 | 2017 | 3 | |
| 10 | 2016 | 1 |
About Brad Wasserman
Brad Wasserman is a scholar working on Oncology, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 424 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Cardiac pacing and defibrillation studies (2 papers), Cancer Cells and Metastasis (2 papers), Prostate Cancer Treatment and Research (1 paper), Gene expression and cancer classification (1 paper), Immunotherapy and Immune Responses (1 paper), Peptidase Inhibition and Analysis (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Oncology (300 citations), Immunology (80 citations), Cancer Research (53 citations), Pulmonary and Respiratory Medicine (90 citations) and Medical Laboratory Technology (3 citations). Brad Wasserman has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include David L. Rimm, Vasiliki Pelekanou, Daniel Carvajal‐Hausdorf, Nikita Mani, Kurt A. Schalper, Mehmet Altan, Jamaal Rehman, Joseph McLaughlin, Gang Han and Lajos Pusztai. Their work appears in journals such as Journal of Clinical Oncology, Breast Cancer Research, Nature Reviews Cardiology, Laboratory Investigation and Heart Rhythm.
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.