Sagar Rakshit

36 total papers · 1.7k total citations
26 papers, 1.2k citations indexed

About

Sagar Rakshit is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sagar Rakshit has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 13 papers in Pulmonary and Respiratory Medicine and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sagar Rakshit's 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). Sagar Rakshit is often cited by papers focused on Cancer Immunotherapy and Biomarkers (11 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Sagar Rakshit collaborates with scholars based in United States, Peru and Italy. Sagar Rakshit's co-authors include Vamsidhar Velcheti, Monica Khunger, James Stevenson, Nathan A. Pennell, Adrían V. Hernández, Vinay Pasupuleti, Peter J. Mazzone, Radhika Bansal, Mahdi Orooji and Niha Beig and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Sagar Rakshit

23 papers receiving 1.2k citations

Hit Papers

Incidence of Pneumonitis ... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sagar Rakshit 681 576 361 118 102 26 1.2k
Leyun Pan 351 0.5× 337 0.6× 748 2.1× 37 0.3× 141 1.4× 52 1.3k
Catherine Chow 406 0.6× 265 0.5× 200 0.6× 87 0.7× 37 0.4× 24 1.2k
Zhendong Chen 513 0.8× 355 0.6× 194 0.5× 77 0.7× 49 0.5× 53 1.0k
Vineet K. Raghu 381 0.6× 243 0.4× 260 0.7× 92 0.8× 29 0.3× 42 1.1k
Mario Eisenberger 398 0.6× 973 1.7× 366 1.0× 246 2.1× 36 0.4× 32 1.5k
Bailiang Li 397 0.6× 408 0.7× 240 0.7× 162 1.4× 40 0.4× 25 982
Matthias Haas 282 0.4× 483 0.8× 345 1.0× 183 1.6× 170 1.7× 44 1.1k
Jin‐Haeng Chung 578 0.8× 884 1.5× 187 0.5× 39 0.3× 39 0.4× 47 1.4k
Merina Ahmed 437 0.6× 692 1.2× 423 1.2× 58 0.5× 47 0.5× 44 1.4k
Ruud Clarijs 248 0.4× 235 0.4× 299 0.8× 93 0.8× 50 0.5× 19 943

Countries citing papers authored by Sagar Rakshit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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