Arupa Ganguly
- Molecular Biology top 2%
- Genetics top 1%
- Oncology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Ophthalmology top 0.5%
- Co-authors
- Darwin J. ProckopCarol L. ShieldsMatthew J. RockCharles A. StanleyCourtney MacMullenShow‐Ling ShyngJennifer Richards‐YutzTapan Ganguly
- Topics
- Ocular Oncology and Treatments (41 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (27 papers)Cutaneous Melanoma Detection and Management (19 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNucleic Acids Research
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Arupa Ganguly
141 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.5k
- Genetics 1.6k
- Oncology 1.3k
- Endocrinology, Diabetes and Metabolism 1.2k
- Ophthalmology 1.1k
Countries citing papers authored by Arupa Ganguly
This map shows the geographic impact of Arupa Ganguly'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 Arupa Ganguly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arupa Ganguly more than expected).
Fields of papers citing papers by Arupa Ganguly
This network shows the impact of papers produced by Arupa Ganguly. 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 Arupa Ganguly. The network helps show where Arupa Ganguly may publish in the future.
Co-authorship network of co-authors of Arupa Ganguly
This figure shows the co-authorship network connecting the top 25 collaborators of Arupa Ganguly. A scholar is included among the top collaborators of Arupa Ganguly 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 Arupa Ganguly. Arupa Ganguly 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 | 1 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | Outcomes of The Cancer Genome Atlas (TCGA) Classification in Uveal Melanoma by Patient Age in 1001 Eyes | 1 |
| 6 | 30 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 10 | |
| 11 | 140 | |
| 12 | 38 | |
| 13 | 1 | |
| 14 | 53 | |
| 15 | 37 | |
| 16 | 52 | |
| 17 | 31 | |
| 18 | 6 | |
| 19 | 21 | |
| 20 | 59 |
About Arupa Ganguly
Arupa Ganguly is a scholar working on Ophthalmology, Immunology and Allergy and Endocrinology, Diabetes and Metabolism, having authored 144 papers that have together received 6.5k indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (41 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (27 papers) and Cutaneous Melanoma Detection and Management (19 papers). The work is most often cited by research in Ophthalmology (1.1k citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Genetics (1.6k citations). Arupa Ganguly has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Darwin J. Prockop, Carol L. Shields, Matthew J. Rock, Charles A. Stanley, Courtney MacMullen, Show‐Ling Shyng, Jennifer Richards‐Yutz, Tapan Ganguly, Lynn Godmilow and Kathryn G. Ewens. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.