J. A. Sosman
- Molecular Biology
- Oncology top 10%
- Computational Theory and Mathematics top 10%
- Pulmonary and Respiratory Medicine
- Immunology
- Co-authors
- Paul B. ChapmanIgor PuzanovGrant A. McArthurKeith T. FlahertyK. B. NolopReinhard DummerCaroline RobertJohn M. Kirkwood
- Topics
- Melanoma and MAPK Pathways (17 papers)Computational Drug Discovery Methods (9 papers)Cutaneous Melanoma Detection and Management (6 papers)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
J. A. Sosman
22 papers receiving 500 citations
Peers
Comparison fields: 5 of 42
- Molecular Biology 403
- Oncology 395
- Computational Theory and Mathematics 75
- Pulmonary and Respiratory Medicine 71
- Immunology 54
Countries citing papers authored by J. A. Sosman
This map shows the geographic impact of J. A. Sosman'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 J. A. Sosman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. A. Sosman more than expected).
Fields of papers citing papers by J. A. Sosman
This network shows the impact of papers produced by J. A. Sosman. 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 J. A. Sosman. The network helps show where J. A. Sosman may publish in the future.
Co-authorship network of co-authors of J. A. Sosman
This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Sosman. A scholar is included among the top collaborators of J. A. Sosman 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 J. A. Sosman. J. A. Sosman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Impact of key prognostic factors on long-term overall survival in BRAFV600-mutated metastatic melanoma patients treated with vemurafenib in the BRIM-3 study | 2 |
| 2 | 2 | |
| 3 | 107 | |
| 4 | Phase III randomized, open-label, multicenter trial (BRIM3) comparing BRAF inhibitor vemurafenib with dacarbazine (DTIC) in patients with V600E BRAF-mutated melanoma | 13 |
| 5 | 28 | |
| 6 | 5 | |
| 7 | 38 | |
| 8 | 15 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 21 | |
| 16 | 18 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 0 | |
| 20 | Outpatient subcutaneous interleukin-2 and interferon-alpha for metastatic renal cell cancer: five-year follow-up of the Cytokine Working Group Study. | 49 |
About J. A. Sosman
J. A. Sosman is a scholar working on Computational Theory and Mathematics, Oncology and Organic Chemistry, having authored 23 papers that have together received 513 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (17 papers), Computational Drug Discovery Methods (9 papers) and Cutaneous Melanoma Detection and Management (6 papers). The work is most often cited by research in Oncology (395 citations), Molecular Biology (403 citations) and Computational Theory and Mathematics (75 citations). J. A. Sosman has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Paul B. Chapman, Igor Puzanov, Grant A. McArthur, Keith T. Flaherty, K. B. Nolop, Reinhard Dummer, Caroline Robert, John M. Kirkwood, C. Morris and Lars Bastholt. Their work appears in journals such as Journal of Clinical Oncology, Melanoma Research and Drugs of the Future.
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.