Steven Weitman
- Molecular Biology top 10%
- Oncology top 5%
- Biomaterials top 2%
- Biomedical Engineering top 10%
- Hematology top 5%
- Co-authors
- Leslie R. ConeyB A KamenRichard H. LarkDaniel W. FortVerna FrascaV R ZurawskiBarton A. KamenDebra S. Jennings
- Topics
- Cancer therapeutics and mechanisms (15 papers)Chronic Lymphocytic Leukemia Research (13 papers)Acute Myeloid Leukemia Research (9 papers)
- Cited by
- BiomaterialsOncologyHematology
- Partner nations
- United StatesFrancePoland
In The Last Decade
Steven Weitman
93 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 1.2k
- Oncology 880
- Biomaterials 472
- Biomedical Engineering 356
- Hematology 344
Countries citing papers authored by Steven Weitman
This map shows the geographic impact of Steven Weitman'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 Steven Weitman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Weitman more than expected).
Fields of papers citing papers by Steven Weitman
This network shows the impact of papers produced by Steven Weitman. 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 Steven Weitman. The network helps show where Steven Weitman may publish in the future.
Co-authorship network of co-authors of Steven Weitman
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Weitman. A scholar is included among the top collaborators of Steven Weitman 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 Steven Weitman. Steven Weitman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 27 | |
| 3 | 8 | |
| 4 | 178 | |
| 5 | Depleting soluble ligand (IGF-II) in solid tumor (human breast cancer xenograft) by ligand-specific human monoclonal antibody | 1 |
| 6 | 215 | |
| 7 | 5 | |
| 8 | 34 | |
| 9 | Squalamine treatment of human tumors in nu/nu mice enhances platinum-based chemotherapies. | 56 |
| 10 | 16 | |
| 11 | 20 | |
| 12 | 8 | |
| 13 | 21 | |
| 14 | 37 | |
| 15 | 44 | |
| 16 | 15 | |
| 17 | 28 | |
| 18 | 6 | |
| 19 | 15 | |
| 20 | Causes of variability in oral cyclosporine administration | 1 |
About Steven Weitman
Steven Weitman is a scholar working on Genetics, Hematology and Oncology, having authored 94 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (15 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Acute Myeloid Leukemia Research (9 papers). The work is most often cited by research in Biomaterials (472 citations), Oncology (880 citations) and Hematology (344 citations). Steven Weitman has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Leslie R. Coney, B A Kamen, Richard H. Lark, Daniel W. Fort, Verna Frasca, V R Zurawski, Barton A. Kamen, Debra S. Jennings, Arthur G. Weinberg and Vincent R. Zurawski. Their work appears in journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.
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.