David M. Hyams
- Oncology top 2%
- Surgery top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research top 5%
- Co-authors
- Norman WolmarkJohn BryantBernard FisherMarc E. LippmanChanheun ParkElizabeth Tan-ChiuSoonmyung PaikD. Lawrence Wickerham
- Topics
- HER2/EGFR in Cancer Research (6 papers)Breast Cancer Treatment Studies (5 papers)CAR-T cell therapy research (4 papers)
- Partner nations
- United StatesBrazilPeru
In The Last Decade
David M. Hyams
35 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Oncology 1.5k
- Surgery 530
- Molecular Biology 429
- Radiology, Nuclear Medicine and Imaging 398
- Cancer Research 389
Countries citing papers authored by David M. Hyams
This map shows the geographic impact of David M. Hyams'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 M. Hyams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Hyams more than expected).
Fields of papers citing papers by David M. Hyams
This network shows the impact of papers produced by David M. Hyams. 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 M. Hyams. The network helps show where David M. Hyams may publish in the future.
Co-authorship network of co-authors of David M. Hyams
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Hyams. A scholar is included among the top collaborators of David M. Hyams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David M. Hyams. David M. Hyams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 31 | |
| 5 | 10 | |
| 6 | 33 | |
| 7 | Correlations among p53, Her-2/neu, and ras overexpression and aneuploidy by multiparameter flow cytometry in human breast cancer: evidence for a common phenotypic evolutionary pattern in infiltrating ductal carcinomas. | 41 |
| 8 | 78 | |
| 9 | erbB-2 and Response to Doxorubicin in Patients With Axillary Lymph Node-Positive, Hormone Receptor- Negative Breast Cancerbreakdown → | 515 |
| 10 | 286 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 47 | |
| 14 | 15 | |
| 15 | 27 | |
| 16 | 30 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 12 | |
| 20 | 18 |
About David M. Hyams
David M. Hyams is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Breast Cancer Treatment Studies (5 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (389 citations) and Radiology, Nuclear Medicine and Imaging (398 citations). David M. Hyams has collaborated with scholars based in United States, Brazil and Peru. Frequent co-authors include Norman Wolmark, John Bryant, Bernard Fisher, Marc E. Lippman, Chanheun Park, Elizabeth Tan-Chiu, Soonmyung Paik, D. Lawrence Wickerham, Henry Gómez and Steinar Aamdal. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer.
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.