Sanjoy Chatterjee
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies 24
- Cancer Research top 10%
- Breast Cancer Treatment Studies 24
-
- Radiomics and Machine Learning in Medical Imaging 14
- Radiation top 5%
- Advanced Radiotherapy Techniques 23
-
- AI in cancer detection 16
-
- HER2/EGFR in Cancer Research 12
-
- Lung Cancer Diagnosis and Treatment 11
-
- Breast Lesions and Carcinomas 10
- Co-authors
- Rama ChellappaRosina AhmedIndu ArunIndranil MallickChandan ChakrabortyRimpa Basu AchariMonjoy SahaSanjit Kumar Agrawal
- Journals
- Clinical Oncology (17 papers)Journal of Clinical Oncology (8 papers)Radiotherapy and Oncology (6 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Sanjoy Chatterjee
100 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 132
- Otorhinolaryngology 221
- Computer Vision and Pattern Recognition 335
- Cancer Research 247
- Radiology, Nuclear Medicine and Imaging 372
- Radiation 137
Countries citing papers authored by Sanjoy Chatterjee
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 20 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 2 | |
| 13 | 2018 | 3 | |
| 14 | 2017 | 6 | |
| 15 | 2016 | 21 | |
| 16 | 2015 | 13 | |
| 17 | 2014 | 5 | |
| 18 | 2012 | 17 | |
| 19 | 2011 | 22 | |
| 20 | 2010 | 34 |
About Sanjoy Chatterjee
Sanjoy Chatterjee is a scholar working on Otorhinolaryngology, Radiation, Cancer Research, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 104 papers that have together received 1.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (24 papers), Head and Neck Cancer Studies (24 papers), Advanced Radiotherapy Techniques (23 papers), AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), HER2/EGFR in Cancer Research (12 papers), Lung Cancer Diagnosis and Treatment (11 papers) and Breast Lesions and Carcinomas (10 papers). The work is most often cited by research in Otorhinolaryngology (221 citations), Computer Vision and Pattern Recognition (335 citations), Cancer Research (247 citations), Radiology, Nuclear Medicine and Imaging (372 citations) and Radiation (137 citations). Sanjoy Chatterjee has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Rama Chellappa, Rosina Ahmed, Indu Arun, Indranil Mallick, Chandan Chakraborty, Rimpa Basu Achari, Monjoy Saha, Sanjit Kumar Agrawal, Soumitra Shankar Datta and Santam Chakraborty. Their work appears in journals such as Clinical Oncology, Journal of Clinical Oncology, Radiotherapy and Oncology, Journal of Microscopy and Head & Neck.
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.