Sriram Gubbi

3.0k citations
46 papers · 2.0k indexed · 2 hit papers · h-index 18

Sriram Gubbi

40 papers receiving 1.9k citations

Hit Papers

COVID-19 pandemic, coronaviruses, and diabetes mellitus5722020202620222024100200300400500

Peers

Sriram Gubbi
Comparison fields: 5 of 137
  • Aging 113
  • Infectious Diseases 521
  • Endocrinology, Diabetes and Metabolism 467
  • Neurology 333
  • Physiology 345
Replace Maik Pietzner with:
Maik Pietzner Germany
Abdelhamid Slama France
Krista Fischer Estonia
Sonia Shah United Kingdom
Mariana Gerschenson United States
Peter Abadir United States
Jane J. Kim United States
David S. Gibson United Kingdom
Richard David Leslie United Kingdom
Mohsen Ghanbari Netherlands
Sriram Gubbi relative to Maik Pietzner Germany Maik Pietzner's profile →
Citations per field
00.5×5.4×
Maik Pietzner · 1×
Citations per year

Countries citing papers authored by Sriram Gubbi

Since Specialization
Citations

This map shows the geographic impact of Sriram Gubbi'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 Sriram Gubbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sriram Gubbi more than expected).

Fields of papers citing papers by Sriram Gubbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sriram Gubbi. 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 Sriram Gubbi. The network helps show where Sriram Gubbi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sriram Gubbi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sriram Gubbi Line = papers co-authored together Sriram Gubbi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20248
5 20240
6 20236
7 20231
8 20230
9 202217
10 20214
11 20215
12 202032
13 20208
14 202050
15
Benefits of Metformin in Attenuating the Hallmarks of Agingbreakdown →
2020496
16 202035
17 201968
18 20173
19 201725
20 20171

About Sriram Gubbi

Sriram Gubbi is a scholar working on Endocrinology, Diabetes and Metabolism, Health Informatics and Neurology, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (14 papers), Hormonal Regulation and Hypertension (8 papers), Pituitary Gland Disorders and Treatments (7 papers), Adrenal and Paraganglionic Tumors (7 papers), Long-Term Effects of COVID-19 (6 papers), COVID-19 Clinical Research Studies (5 papers), Diet and metabolism studies (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Aging (113 citations), Infectious Diseases (521 citations) and Endocrinology, Diabetes and Metabolism (467 citations). Sriram Gubbi has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Ranganath Muniyappa, Nir Barzilai, Ameya Kulkarni, Joanna Kłubo-Gwieździńska, Christian A. Koch, Rashika Bansal, Fady Hannah‐Shmouni, Derek M. Huffman, Sofiya Milman and Joseph G. Verbalis. Their work appears in journals such as Frontiers in Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Hormone and Metabolic Research, GeroScience and Thyroid.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026