Swati Bhattacharyya
- Pathology and Forensic Medicine top 0.5%
- Systemic Sclerosis and Related Diseases 32
- Dermatology top 0.5%
- Dermatologic Treatments and Research 6
- Immunology top 5%
- Immunology and Allergy top 5%
-
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 21
-
- Connective Tissue Growth Factor Research 9
- Fibroblast Growth Factor Research 5
- TGF-β signaling in diseases 5
-
- Eosinophilic Disorders and Syndromes 7
-
- Skin and Cellular Biology Research 5
- Co-authors
- John VargaJun WeiWarren G. TourtellotteAsish K. GhoshFeng FangYasuji MoriZenshiro TamakiWenxia Wang
- Journals
- Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- 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
- Dermatology 543
- Immunology 760
- Immunology and Allergy 157
- Pulmonary and Respiratory Medicine 804
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
The 25 scholars most cited alongside Swati Bhattacharyya, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 21 | |
| 4 | 2022 | 33 | |
| 5 | 2017 | 57 | |
| 6 | 2015 | 52 | |
| 7 | 2014 | 178 | |
| 8 | 2013 | 85 | |
| 9 | 2013 | 49 | |
| 10 | 2012 | 209 | |
| 11 | 2012 | 44 | |
| 12 | 2011 | 104 | |
| 13 | 2010 | 142 | |
| 14 | 2010 | 64 | |
| 15 | 2009 | 115 | |
| 16 | 2005 | 31 | |
| 17 | 2005 | 3 | |
| 18 | 2005 | 29 | |
| 19 | 2004 | 170 | |
| 20 | 2002 | 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), Connective Tissue Growth Factor Research (9 papers), Eosinophilic Disorders and Syndromes (7 papers), Dermatologic Treatments and Research (6 papers), Skin and Cellular Biology Research (5 papers), Fibroblast Growth Factor Research (5 papers) and TGF-β signaling in diseases (5 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.