Sagar Rakshit
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology
- Biomedical Engineering
- Co-authors
- Vamsidhar VelchetiMonica KhungerJames StevensonNathan A. PennellAdrían V. HernándezVinay PasupuletiPeter J. MazzoneRadhika Bansal
- Topics
- Cancer Immunotherapy and Biomarkers (11 papers)Lung Cancer Diagnosis and Treatment (8 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)
- Partner nations
- United StatesPeruItaly
In The Last Decade
Sagar Rakshit
23 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Oncology 686
- Pulmonary and Respiratory Medicine 579
- Radiology, Nuclear Medicine and Imaging 364
- Immunology 118
- Biomedical Engineering 102
Countries citing papers authored by Sagar Rakshit
This map shows the geographic impact of Sagar Rakshit'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 Sagar Rakshit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sagar Rakshit more than expected).
Fields of papers citing papers by Sagar Rakshit
This network shows the impact of papers produced by Sagar Rakshit. 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 Sagar Rakshit. The network helps show where Sagar Rakshit may publish in the future.
Co-authorship network of co-authors of Sagar Rakshit
This figure shows the co-authorship network connecting the top 25 collaborators of Sagar Rakshit. A scholar is included among the top collaborators of Sagar Rakshit 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 Sagar Rakshit. Sagar Rakshit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 75 | |
| 3 | 0 | |
| 4 | 57 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 20 | |
| 9 | 238 | |
| 10 | 45 | |
| 11 | 61 | |
| 12 | 21 | |
| 13 | 20 | |
| 14 | Incidence of Pneumonitis With Use of Programmed Death 1 and Programmed Death-Ligand 1 Inhibitors in Non-Small Cell Lung Cancerbreakdown → | 349 |
| 15 | 106 | |
| 16 | 7 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 37 |
About Sagar Rakshit
Sagar Rakshit is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Oncology (686 citations), Pulmonary and Respiratory Medicine (579 citations) and Radiology, Nuclear Medicine and Imaging (364 citations). Sagar Rakshit has collaborated with scholars based in United States, Peru and Italy. Frequent co-authors include Vamsidhar Velcheti, Monica Khunger, James Stevenson, Nathan A. Pennell, Adrían V. Hernández, Vinay Pasupuleti, Peter J. Mazzone, Radhika Bansal, Niha Beig and Mahdi Orooji. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Blood.
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.