Neil H. Segal
- Oncology top 0.2%
- Immunology top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Molecular Biology top 5%
- Surgery top 2%
- Co-authors
- Jinru ShiaZsofia K. StadlerAndrea CercekLuis A. DíazRobin B. MendelsohnKaruna GaneshLeonard B. SaltzJedd D. Wolchok
- Topics
- Colorectal Cancer Treatments and Studies (57 papers)Cancer Immunotherapy and Biomarkers (56 papers)Genetic factors in colorectal cancer (33 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineJournal of Clinical Oncology
- Partner nations
- United StatesFranceCanada
In The Last Decade
Neil H. Segal
145 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Oncology 5.8k
- Immunology 2.8k
- Pulmonary and Respiratory Medicine 2.2k
- Molecular Biology 1.7k
- Surgery 1.5k
Countries citing papers authored by Neil H. Segal
This map shows the geographic impact of Neil H. Segal'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 Neil H. Segal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil H. Segal more than expected).
Fields of papers citing papers by Neil H. Segal
This network shows the impact of papers produced by Neil H. Segal. 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 Neil H. Segal. The network helps show where Neil H. Segal may publish in the future.
Co-authorship network of co-authors of Neil H. Segal
This figure shows the co-authorship network connecting the top 25 collaborators of Neil H. Segal. A scholar is included among the top collaborators of Neil H. Segal 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 Neil H. Segal. Neil H. Segal 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 | 1 | |
| 3 | 18 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 22 | |
| 11 | 5 | |
| 12 | 221 | |
| 13 | 181 | |
| 14 | 18 | |
| 15 | Results from an Integrated Safety Analysis of Urelumab, an Agonist Anti-CD137 Monoclonal Antibodybreakdown → | 281 |
| 16 | 32 | |
| 17 | 9 | |
| 18 | 147 | |
| 19 | 69 | |
| 20 | 227 |
About Neil H. Segal
Neil H. Segal is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 149 papers that have together received 8.6k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (57 papers), Cancer Immunotherapy and Biomarkers (56 papers) and Genetic factors in colorectal cancer (33 papers). The work is most often cited by research in Oncology (5.8k citations), Immunology (2.8k citations) and Pathology and Forensic Medicine (1.2k citations). Neil H. Segal has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Jinru Shia, Zsofia K. Stadler, Andrea Cercek, Luis A. Díaz, Robin B. Mendelsohn, Karuna Ganesh, Leonard B. Saltz, Jedd D. Wolchok, Cristina R. Antonescu and James P. Allison. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine 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.