Scott D. Chasalow
- Oncology top 1%
- Immunology top 2%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Plant Science top 10%
- Co-authors
- David M. BermanOmid HamidHenrik SchmidtVafa ShahabiNathan O. SiemersSuresh AlaparthyLisu WangRui‐Ru Ji
- Topics
- Cancer Immunotherapy and Biomarkers (24 papers)Immunotherapy and Immune Responses (10 papers)CAR-T cell therapy research (5 papers)
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Scott D. Chasalow
37 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Oncology 1.8k
- Immunology 1.1k
- Molecular Biology 572
- Pulmonary and Respiratory Medicine 457
- Plant Science 283
Countries citing papers authored by Scott D. Chasalow
This map shows the geographic impact of Scott D. Chasalow'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 Scott D. Chasalow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott D. Chasalow more than expected).
Fields of papers citing papers by Scott D. Chasalow
This network shows the impact of papers produced by Scott D. Chasalow. 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 Scott D. Chasalow. The network helps show where Scott D. Chasalow may publish in the future.
Co-authorship network of co-authors of Scott D. Chasalow
This figure shows the co-authorship network connecting the top 25 collaborators of Scott D. Chasalow. A scholar is included among the top collaborators of Scott D. Chasalow 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 Scott D. Chasalow. Scott D. Chasalow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 36 | |
| 3 | 28 | |
| 4 | 25 | |
| 5 | 20 | |
| 6 | 216 | |
| 7 | 15 | |
| 8 | 162 | |
| 9 | 21 | |
| 10 | Randomized phase I pharmacokinetic study of ipilimumab with or without one of two different chemotherapy regimens in patients with untreated advanced melanoma. | 58 |
| 11 | 132 | |
| 12 | 63 | |
| 13 | An immune-active tumor microenvironment favors clinical response to ipilimumabbreakdown → | 593 |
| 14 | 98 | |
| 15 | 443 | |
| 16 | 1 | |
| 17 | 181 | |
| 18 | 63 | |
| 19 | 79 | |
| 20 | 14 |
About Scott D. Chasalow
Scott D. Chasalow is a scholar working on Oncology, Immunology and Computer Graphics and Computer-Aided Design, having authored 38 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (24 papers), Immunotherapy and Immune Responses (10 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Oncology (1.8k citations), Immunology (1.1k citations) and Pulmonary and Respiratory Medicine (457 citations). Scott D. Chasalow has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include David M. Berman, Omid Hamid, Henrik Schmidt, Vafa Shahabi, Nathan O. Siemers, Suresh Alaparthy, Lisu Wang, Rui‐Ru Ji, Maria Jure–Kunkel and Jeffrey R. Jackson. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.
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.