Jim Abraham
Impact in
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- Cancer Genomics and Diagnostics
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- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 21
- Cancer Immunotherapy and Biomarkers 8
- Colorectal Cancer Treatments and Studies 5
- Cancer Diagnosis and Treatment 3
- CAR-T cell therapy research 2
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- Cancer Genomics and Diagnostics 11
- Co-authors
- David Spetzler (15 shared papers)Scott M. Lippman (2 shared papers)Teresa Davoli (2 shared papers)Xin Zhao (2 shared papers)William N. William (2 shared papers)Joy J. Bianchi (2 shared papers)Webster K. Cavenee (2 shared papers)Joanne Xiu (16 shared papers)
- Journals
- Journal of Clinical Oncology (16 papers)Clinical Cancer Research (2 papers)Gynecologic Oncology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Translational Oncology (1 paper)
- Partner nations
- United StatesAustriaJapan
In The Last Decade
Jim Abraham
26 papers receiving 222 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 78
- Oncology 118
- Otorhinolaryngology 15
- Health Informatics 3
- Periodontics 10
Countries citing papers authored by Jim Abraham
This map shows the geographic impact of Jim Abraham'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 Jim Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Abraham more than expected).
Fields of papers citing papers by Jim Abraham
This network shows the impact of papers produced by Jim Abraham. 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 Jim Abraham. The network helps show where Jim Abraham may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Abraham, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 54 | |
| 2 | 2020 | 35 | |
| 3 | 2021 | 27 | |
| 4 | 2022 | 23 | |
| 5 | Review of Software project management: A unified framework by Walker Royce, Addison-Wesley Longman, Inc., Reading, MA, 1998 | 2000 | 14 |
| 6 | 2022 | 13 | |
| 7 | 2024 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2007 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2022 | 1 |
About Jim Abraham
Jim Abraham is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Molecular Biology, having authored 31 papers that have together received 224 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Cancer Immunotherapy and Biomarkers (8 papers), Genetic factors in colorectal cancer (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Diagnosis and Treatment (3 papers), Gastric Cancer Management and Outcomes (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (78 citations), Oncology (118 citations), Otorhinolaryngology (15 citations), Health Informatics (3 citations) and Periodontics (10 citations). Jim Abraham has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include David Spetzler, Scott M. Lippman, Teresa Davoli, Xin Zhao, William N. William, Joy J. Bianchi, Webster K. Cavenee, Joanne Xiu, Ludmil B. Alexandrov and John L. Marshall. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Gynecologic Oncology, Proceedings of the National Academy of Sciences and Translational Oncology.
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.