Divya Murthy
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Geriatrics and Gerontology top 5%
Papers in
-
- Diabetes Management and Research 8
- Diabetes Treatment and Management 3
- Hyperglycemia and glycemic control in critically ill and hospitalized patients 3
-
- Cancer, Hypoxia, and Metabolism 8
- Co-authors
- Pankaj K. Singh (10 shared papers)Kuldeep Singh Attri (8 shared papers)Richard A. Guthrie (13 shared papers)Robert Louis Jackson (10 shared papers)Surendra Kumar Shukla (4 shared papers)Ryan J. King (3 shared papers)Aneesha Dasgupta (2 shared papers)Rajesh S. Gokhale (4 shared papers)
- Journals
- Metabolism (4 papers)Cancer Letters (3 papers)International Journal of Molecular Sciences (2 papers)Diabetes (2 papers)PEDIATRICS (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Divya Murthy
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 447
- Geriatrics and Gerontology 63
- Oncology 351
- Molecular Biology 660
- Physiology 30
Countries citing papers authored by Divya Murthy
This map shows the geographic impact of Divya Murthy'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 Divya Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Murthy more than expected).
Fields of papers citing papers by Divya Murthy
This network shows the impact of papers produced by Divya Murthy. 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 Divya Murthy. The network helps show where Divya Murthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Murthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 454 | |
| 2 | 2021 | 105 | |
| 3 | 2017 | 85 | |
| 4 | 2017 | 78 | |
| 5 | 2018 | 72 | |
| 6 | 2024 | 65 | |
| 7 | 2020 | 61 | |
| 8 | 2017 | 50 | |
| 9 | 2023 | 44 | |
| 10 | 2020 | 39 | |
| 11 | 2015 | 33 | |
| 12 | 2024 | 29 | |
| 13 | 1973 | 28 | |
| 14 | 2024 | 27 | |
| 15 | 2022 | 16 | |
| 16 | 1974 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 1969 | 12 | |
| 19 | 1967 | 10 | |
| 20 | 2023 | 9 |
About Divya Murthy
Divya Murthy is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology, Genetics and Surgery, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Diabetes and associated disorders (9 papers), Diabetes Management and Research (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Mitochondrial Function and Pathology (4 papers), Diabetes Treatment and Management (3 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers). The work is most often cited by research in Cancer Research (447 citations), Geriatrics and Gerontology (63 citations), Oncology (351 citations), Molecular Biology (660 citations) and Physiology (30 citations). Divya Murthy has collaborated with scholars based in United States, India and China. Frequent co-authors include Pankaj K. Singh, Kuldeep Singh Attri, Richard A. Guthrie, Robert Louis Jackson, Surendra Kumar Shukla, Ryan J. King, Aneesha Dasgupta, Rajesh S. Gokhale, Jaime Abrego and Amrita Ramkumar. Their work appears in journals such as Metabolism, Cancer Letters, International Journal of Molecular Sciences, Diabetes and PEDIATRICS.
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.