Sanjoy Chatterjee

101 papers receiving 1.7k citations

Sanjoy Chatterjee's Hit Papers

The Lancet Breast Cancer Commission 2024 · 108 citations
1080+1Years since publication255075100

Peers

Sanjoy Chatterjee
Comparison fields: 5 of 68
  • Otorhinolaryngology 205
  • Cancer Research 221
  • Oncology 282
  • Radiation 103
  • Artificial Intelligence 213
Replace Mathijs P. Hendriks with:
Mathijs P. Hendriks Netherlands
Kosj Yamoah United States
Panagiotis Balermpas Germany
Danielle Nina Margalit United States
Ka On Lam Hong Kong
Markus Hecht Germany
Yi‐Jun Hua China
Sarah Jane Bowden United Kingdom
Christine M. Fisher United States
Maud H. W. Starmans Netherlands
Sanjoy Chatterjee relative to Mathijs P. Hendriks Netherlands Mathijs P. Hendriks's profile →
Citations per field
00.5×2×4×6×8×9.2×
Mathijs P. Hendriks · 1×
Citations per year

Countries citing papers authored by Sanjoy Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Sanjoy Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sanjoy Chatterjee, 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 Sanjoy Chatterjee Line = papers co-authored together Sanjoy Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020199
2
The Lancet Breast Cancer Commission
Hit paper breakdown →
2024108
3 2016101
4 201792
5 201885
6 201858
7 201954
8 201745
9 201945
10 201339
11 201037
12 201537
13 201735
14 201729
15 202128
16 202228
17 202027
18 201124
19 201624
20 201223

About Sanjoy Chatterjee

Sanjoy Chatterjee is a scholar working on Otorhinolaryngology, Cancer Research, Radiation, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 110 papers that have together received 1.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (21 papers), Head and Neck Cancer Studies (17 papers), Advanced Radiotherapy Techniques (15 papers), AI in cancer detection (12 papers), Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), HER2/EGFR in Cancer Research (3 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Otorhinolaryngology (205 citations), Cancer Research (221 citations), Oncology (282 citations), Radiation (103 citations) and Artificial Intelligence (213 citations). Sanjoy Chatterjee has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Rosina Ahmed, Indu Arun, Indranil Mallick, Chandan Chakraborty, Rimpa Basu Achari, Monjoy Saha, Sanjit Kumar Agrawal, Santam Chakraborty, Soumitra Shankar Datta and Raj Kumar Shrimali. Their work appears in journals such as Clinical Oncology, Journal of Microscopy, Head & Neck, British Journal of Radiology and Journal of Imaging Informatics in Medicine.

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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