Swati Bhattacharyya
- Pathology and Forensic Medicine top 0.5%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Immunology top 5%
- Dermatology top 0.5%
- Co-authors
- John VargaJun WeiWarren G. TourtellotteAsish K. GhoshFeng FangYasuji MoriZenshiro TamakiWenxia Wang
- Topics
- Systemic Sclerosis and Related Diseases (32 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (21 papers)Connective Tissue Growth Factor Research (9 papers)
- Journals
- Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Swati Bhattacharyya
53 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 107
- Pathology and Forensic Medicine 1.5k
- Molecular Biology 1.4k
- Pulmonary and Respiratory Medicine 804
- Immunology 760
- Dermatology 543
Countries citing papers authored by Swati Bhattacharyya
This map shows the geographic impact of Swati Bhattacharyya'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 Swati Bhattacharyya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Bhattacharyya more than expected).
Fields of papers citing papers by Swati Bhattacharyya
This network shows the impact of papers produced by Swati Bhattacharyya. 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 Swati Bhattacharyya. The network helps show where Swati Bhattacharyya may publish in the future.
Co-authorship network of co-authors of Swati Bhattacharyya
This figure shows the co-authorship network connecting the top 25 collaborators of Swati Bhattacharyya. A scholar is included among the top collaborators of Swati Bhattacharyya 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 Swati Bhattacharyya. Swati Bhattacharyya 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 | 0 | |
| 3 | 21 | |
| 4 | 33 | |
| 5 | 57 | |
| 6 | 52 | |
| 7 | 178 | |
| 8 | 85 | |
| 9 | 49 | |
| 10 | 209 | |
| 11 | 44 | |
| 12 | 104 | |
| 13 | 142 | |
| 14 | 64 | |
| 15 | 115 | |
| 16 | 31 | |
| 17 | 3 | |
| 18 | 29 | |
| 19 | 170 | |
| 20 | 31 |
About Swati Bhattacharyya
Swati Bhattacharyya is a scholar working on Pathology and Forensic Medicine, Dermatology and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 3.5k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (32 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (21 papers) and Connective Tissue Growth Factor Research (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.5k citations), Dermatology (543 citations) and Immunology (760 citations). Swati Bhattacharyya has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include John Varga, Jun Wei, Warren G. Tourtellotte, Asish K. Ghosh, Feng Fang, Yasuji Mori, Zenshiro Tamaki, Wenxia Wang, Monique Hinchcliff and Minghua Wu. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.
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.