Sameer S. Kulkarni
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Physiology top 1%
- Adipose Tissue and Metabolism
- Calcium signaling and nucleotide metabolism
Papers in
-
- Chemical Synthesis and Analysis 21
- Protein Hydrolysis and Bioactive Peptides 8
- Mitochondrial Function and Pathology 6
-
- Click Chemistry and Applications 11
- Co-authors
- Carles Cantó (11 shared papers)Richard J. Payne (18 shared papers)Marie Boutant (8 shared papers)Bhavesh Premdjee (3 shared papers)Jessica Sayers (3 shared papers)Magali Joffraud (6 shared papers)Joanna Ratajczak (6 shared papers)Johan Auwerx (2 shared papers)
- Journals
- Angewandte Chemie International Edition (3 papers)Journal of the American Chemical Society (3 papers)Chemical Communications (2 papers)Nature Communications (2 papers)Diabetes (2 papers)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
Sameer S. Kulkarni
44 papers receiving 2.4k citations
Sameer S. Kulkarni's Hit Papers
Peers
Comparison fields: 5 of 119
- Geriatrics and Gerontology 461
- Physiology 215
- Physiology 626
- Aging 42
- Molecular Biology 1.5k
Countries citing papers authored by Sameer S. Kulkarni
This map shows the geographic impact of Sameer S. Kulkarni'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 Sameer S. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer S. Kulkarni more than expected).
Fields of papers citing papers by Sameer S. Kulkarni
This network shows the impact of papers produced by Sameer S. Kulkarni. 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 Sameer S. Kulkarni. The network helps show where Sameer S. Kulkarni may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameer S. Kulkarni, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The molecular targets of resveratrol Hit paper breakdown → | 2014 | 390 |
| 2 | 2016 | 270 | |
| 3 | 2018 | 256 | |
| 4 | 2016 | 211 | |
| 5 | 2017 | 207 | |
| 6 | 2018 | 88 | |
| 7 | 2011 | 74 | |
| 8 | 2014 | 72 | |
| 9 | 2014 | 66 | |
| 10 | 2019 | 64 | |
| 11 | 2017 | 63 | |
| 12 | 2019 | 63 | |
| 13 | 2016 | 63 | |
| 14 | 2011 | 61 | |
| 15 | 2019 | 47 | |
| 16 | 2011 | 40 | |
| 17 | 2016 | 38 | |
| 18 | 2019 | 35 | |
| 19 | 2017 | 30 | |
| 20 | 2013 | 29 |
About Sameer S. Kulkarni
Sameer S. Kulkarni is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Oncology and Geriatrics and Gerontology, having authored 46 papers that have together received 2.4k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (21 papers), Click Chemistry and Applications (11 papers), Protein Hydrolysis and Bioactive Peptides (8 papers), Adipose Tissue and Metabolism (7 papers), Sirtuins and Resveratrol in Medicine (6 papers), Mitochondrial Function and Pathology (6 papers), Peptidase Inhibition and Analysis (5 papers) and Calcium signaling and nucleotide metabolism (4 papers). The work is most often cited by research in Geriatrics and Gerontology (461 citations), Physiology (215 citations), Physiology (626 citations), Aging (42 citations) and Molecular Biology (1.5k citations). Sameer S. Kulkarni has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Carles Cantó, Richard J. Payne, Marie Boutant, Bhavesh Premdjee, Jessica Sayers, Magali Joffraud, Joanna Ratajczak, Johan Auwerx, António Zorzano and Juleen R. Zierath. Their work appears in journals such as Angewandte Chemie International Edition, Journal of the American Chemical Society, Chemical Communications, Nature Communications 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.