Sourya Acharya
- Hematology top 2%
- Surgery
- Pulmonary and Respiratory Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Co-authors
- Donna DiMicheleSamarth ShuklaSunil KumarAdam M. CoughlinDhruv TalwarNeema AcharyaAnil WanjariSachin Agrawal
- Topics
- Hemoglobinopathies and Related Disorders (22 papers)Liver Disease Diagnosis and Treatment (21 papers)COVID-19 Clinical Research Studies (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Respiratory and Critical Care MedicineJournal of Thrombosis and Haemostasis
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Sourya Acharya
348 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 153
- Hematology 357
- Surgery 274
- Pulmonary and Respiratory Medicine 257
- Endocrinology, Diabetes and Metabolism 246
- Epidemiology 240
Countries citing papers authored by Sourya Acharya
This map shows the geographic impact of Sourya Acharya'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 Sourya Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sourya Acharya more than expected).
Fields of papers citing papers by Sourya Acharya
This network shows the impact of papers produced by Sourya Acharya. 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 Sourya Acharya. The network helps show where Sourya Acharya may publish in the future.
Co-authorship network of co-authors of Sourya Acharya
This figure shows the co-authorship network connecting the top 25 collaborators of Sourya Acharya. A scholar is included among the top collaborators of Sourya Acharya 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 Sourya Acharya. Sourya Acharya 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 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 0 | |
| 18 | Type 2 myocardial infarction in COVID19: World's first case series | 2 |
| 19 | Mucormycosis as a complication of LOIN G COVID: A case series | 2 |
| 20 | Acute Idiopathic Cold Antibody Autoimmune Hemolytic Anemia (AIHA) ---An Unusual Medical Emergency. | 0 |
About Sourya Acharya
Sourya Acharya is a scholar working on Neurology, Hematology and Endocrinology, Diabetes and Metabolism, having authored 458 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (22 papers), Liver Disease Diagnosis and Treatment (21 papers) and COVID-19 Clinical Research Studies (20 papers). The work is most often cited by research in Hematology (357 citations), Endocrinology, Diabetes and Metabolism (246 citations) and Critical Care and Intensive Care Medicine (74 citations). Sourya Acharya has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Donna DiMichele, Samarth Shukla, Sunil Kumar, Adam M. Coughlin, Dhruv Talwar, Neema Acharya, Anil Wanjari, Sachin Agrawal, Satyan Rajbhandari and Shilpa Gaidhane. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Journal of Thrombosis and Haemostasis.
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.