Sudip Bhattacharya
- Sociology and Political Science top 10%
- General Health Professions top 10%
- Clinical Psychology top 10%
- Education top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Amarjeet SinghMA BasharAbhay SrivastavaSheikh Mohd SaleemMd Mahbub HossainNeha SharmaRuchi JuyalRoy Rillera Marzo
- Topics
- Mobile Health and mHealth Applications (7 papers)Smoking Behavior and Cessation (6 papers)Global Public Health Policies and Epidemiology (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaFamily PracticeFrontiers in Public Health
- Partner nations
- IndiaUnited StatesTürkiye
In The Last Decade
Sudip Bhattacharya
77 papers receiving 689 citations
Peers
Comparison fields: 5 of 136
- Sociology and Political Science 175
- General Health Professions 125
- Clinical Psychology 118
- Education 95
- Public Health, Environmental and Occupational Health 77
Countries citing papers authored by Sudip Bhattacharya
This map shows the geographic impact of Sudip Bhattacharya'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 Sudip Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudip Bhattacharya more than expected).
Fields of papers citing papers by Sudip Bhattacharya
This network shows the impact of papers produced by Sudip Bhattacharya. 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 Sudip Bhattacharya. The network helps show where Sudip Bhattacharya may publish in the future.
Co-authorship network of co-authors of Sudip Bhattacharya
This figure shows the co-authorship network connecting the top 25 collaborators of Sudip Bhattacharya. A scholar is included among the top collaborators of Sudip Bhattacharya 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 Sudip Bhattacharya. Sudip Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 40 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | Overexpression of Her2/Neu in Gastric Carcinoma: association with histological type, tumor grade and H. Pylori infection | 2 |
| 20 | Rapid Assessment of Health Services in Punjab using a Mixed Method Approach | 4 |
About Sudip Bhattacharya
Sudip Bhattacharya is a scholar working on Health Informatics, Health and Modeling and Simulation, having authored 89 papers that have together received 725 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (7 papers), Smoking Behavior and Cessation (6 papers) and Global Public Health Policies and Epidemiology (6 papers). The work is most often cited by research in Health Informatics (23 citations), Applied Psychology (56 citations) and Modeling and Simulation (27 citations). Sudip Bhattacharya has collaborated with scholars based in India, United States and Türkiye. Frequent co-authors include Amarjeet Singh, MA Bashar, Abhay Srivastava, Sheikh Mohd Saleem, Md Mahbub Hossain, Neha Sharma, Ruchi Juyal, Roy Rillera Marzo, Saurabh Varshney and Rachit Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, Family Practice and Frontiers in Public Health.
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.