Subbiah Pugazhenthi
- Molecular Biology top 5%
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 5%
- Genetics top 5%
- Co-authors
- Jane E.B. ReuschLimei QinP. Hemachandra ReddyRamji L. KhandelwalKim A. HeidenreichLinda M. BoxerCarol L. SableAlbina Nesterova
- Topics
- Pancreatic function and diabetes (20 papers)Vanadium and Halogenation Chemistry (11 papers)Diabetes and associated disorders (10 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Subbiah Pugazhenthi
80 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.8k
- Physiology 902
- Endocrinology, Diabetes and Metabolism 596
- Surgery 548
- Genetics 450
Countries citing papers authored by Subbiah Pugazhenthi
This map shows the geographic impact of Subbiah Pugazhenthi'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 Subbiah Pugazhenthi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subbiah Pugazhenthi more than expected).
Fields of papers citing papers by Subbiah Pugazhenthi
This network shows the impact of papers produced by Subbiah Pugazhenthi. 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 Subbiah Pugazhenthi. The network helps show where Subbiah Pugazhenthi may publish in the future.
Co-authorship network of co-authors of Subbiah Pugazhenthi
This figure shows the co-authorship network connecting the top 25 collaborators of Subbiah Pugazhenthi. A scholar is included among the top collaborators of Subbiah Pugazhenthi 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 Subbiah Pugazhenthi. Subbiah Pugazhenthi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 34 | |
| 3 | 74 | |
| 4 | Common neurodegenerative pathways in obesity, diabetes, and Alzheimer's diseasebreakdown → | 516 |
| 5 | 28 | |
| 6 | 205 | |
| 7 | 24 | |
| 8 | 99 | |
| 9 | 37 | |
| 10 | 58 | |
| 11 | 56 | |
| 12 | 7 | |
| 13 | 15 | |
| 14 | Akt/Protein Kinase B Up-regulates Bcl-2 Expression through cAMP-response Element-binding Proteinbreakdown → | 697 |
| 15 | 30 | |
| 16 | 39 | |
| 17 | 14 | |
| 18 | 18 | |
| 19 | 51 | |
| 20 | 28 |
About Subbiah Pugazhenthi
Subbiah Pugazhenthi is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Inorganic Chemistry, having authored 82 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (20 papers), Vanadium and Halogenation Chemistry (11 papers) and Diabetes and associated disorders (10 papers). The work is most often cited by research in Neurology (378 citations), Biological Psychiatry (114 citations) and Endocrinology, Diabetes and Metabolism (596 citations). Subbiah Pugazhenthi has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Jane E.B. Reusch, Limei Qin, P. Hemachandra Reddy, Ramji L. Khandelwal, Kim A. Heidenreich, Linda M. Boxer, Carol L. Sable, Albina Nesterova, Lynn E. Heasley and Maorong Wang. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Diabetes.
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.