Sanjib Basu

4.5k citations
164 papers · 2.5k · h-index 29

Impact in

Papers in

Sanjib Basu

155 papers receiving 2.4k citations

Peers

Sanjib Basu
Comparison fields: 5 of 171
  • Statistics and Probability 339
  • Pulmonary and Respiratory Medicine 611
  • Oncology 444
  • Statistics, Probability and Uncertainty 114
  • Endocrinology, Diabetes and Metabolism 225
Replace Lyle D. Broemeling with:
Lyle D. Broemeling United States
Claudia Schmoor Germany
Yingye Zheng United States
Ulrich Abel Germany
Sin‐Ho Jung United States
Bingshu E. Chen Canada
Binbing Yu United States
Colin O. Wu United States
John O’Quigley France
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Citations per year

Countries citing papers authored by Sanjib Basu

Since Specialization
Citations

This map shows the geographic impact of Sanjib Basu'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 Sanjib Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjib Basu more than expected).

Fields of papers citing papers by Sanjib Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjib Basu. 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 Sanjib Basu. The network helps show where Sanjib Basu may publish in the future.

Co-authors

The 25 scholars most cited alongside Sanjib Basu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sanjib Basu Line = papers co-authored together Sanjib Basu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006289
2 200388
3 200985
4 201073
5 201259
6 201755
7 200951
8 201449
9 201147
10 200147
11 201244
12 200944
13 200842
14 199941
15 201241
16 201140
17 201737
18 201936
19 199735
20 200334

About Sanjib Basu

Sanjib Basu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Statistics and Probability, Molecular Biology and Surgery, having authored 164 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (23 papers), Lung Cancer Treatments and Mutations (23 papers), Ovarian cancer diagnosis and treatment (12 papers), Statistical Distribution Estimation and Applications (12 papers), Nutrition and Health in Aging (10 papers), Cancer Immunotherapy and Biomarkers (9 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Statistical Methods and Inference (7 papers). The work is most often cited by research in Statistics and Probability (339 citations), Pulmonary and Respiratory Medicine (611 citations), Oncology (444 citations), Statistics, Probability and Uncertainty (114 citations) and Endocrinology, Diabetes and Metabolism (225 citations). Sanjib Basu has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Philip Bonomi, L. Penfield Faber, Jay Garg, Alan J. Zillich, Barry L. Carter, George L. Bakris, Jeffrey A. Borgia, William H. Warren, Siddhartha Chib and Anthony W. Kim. Their work appears in journals such as Journal of Clinical Oncology, The Annals of Thoracic Surgery, Journal of Thoracic Oncology, Clinical Cancer Research and Journal of Immunology Research.

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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