Richard A. Gams
- Oncology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Co-authors
- Charles L. VogelFredrick S. WhaleySandra M. SwainJ. R. BianchineMichael S. EwerE Vélez-GarcíaA J CarrollJaroslav F. Prchal
- Topics
- Cancer Treatment and Pharmacology (18 papers)Lymphoma Diagnosis and Treatment (13 papers)Lung Cancer Treatments and Mutations (10 papers)
- Partner nations
- United StatesPuerto RicoSwitzerland
In The Last Decade
Richard A. Gams
63 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 115
- Oncology 968
- Cardiology and Cardiovascular Medicine 653
- Pathology and Forensic Medicine 441
- Pulmonary and Respiratory Medicine 393
- Molecular Biology 373
Countries citing papers authored by Richard A. Gams
This map shows the geographic impact of Richard A. Gams'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 Richard A. Gams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Gams more than expected).
Fields of papers citing papers by Richard A. Gams
This network shows the impact of papers produced by Richard A. Gams. 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 Richard A. Gams. The network helps show where Richard A. Gams may publish in the future.
Co-authorship network of co-authors of Richard A. Gams
This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Gams. A scholar is included among the top collaborators of Richard A. Gams 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 Richard A. Gams. Richard A. Gams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 466 | |
| 2 | 203 | |
| 3 | 11 | |
| 4 | 85 | |
| 5 | 5 | |
| 6 | 25 | |
| 7 | 87 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 32 | |
| 11 | 4 | |
| 12 | Weekly mitoxantrone in the treatment of advanced pancreatic carcinoma: a Southeastern Cancer Study Group Trial. | 6 |
| 13 | 17 | |
| 14 | 15 | |
| 15 | 4 | |
| 16 | 19 | |
| 17 | Clinical Protocol Information System | 1 |
| 18 | Effect of growth rate and simian adenovirus-7 transformation on in vitro 67Ga binding to hamster embryo cells. | 3 |
| 19 | Effects of buffers and pH on in vitro binding of 67Ga by L1210 leukemic cells. | 14 |
| 20 | 2 |
About Richard A. Gams
Richard A. Gams is a scholar working on Oncology, Pathology and Forensic Medicine and Hematology, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (18 papers), Lymphoma Diagnosis and Treatment (13 papers) and Lung Cancer Treatments and Mutations (10 papers). The work is most often cited by research in Oncology (968 citations), Hematology (359 citations) and Cardiology and Cardiovascular Medicine (653 citations). Richard A. Gams has collaborated with scholars based in United States, Puerto Rico and Switzerland. Frequent co-authors include Charles L. Vogel, Fredrick S. Whaley, Sandra M. Swain, J. R. Bianchine, Michael S. Ewer, E Vélez-García, A J Carroll, Jaroslav F. Prchal, E W Fuson and Josef T. Prchal. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Clinical 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.