Manish Kumar Saraf
- Physiology top 2%
- Epidemiology top 5%
- Molecular Biology
- Rehabilitation top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Maria ChondronikolaLabros S. SidossisTony ChaoCraig PorterElisabet BørsheimSudesh PrabhakarAkshay AnandHal K. Hawkins
- Topics
- Adipose Tissue and Metabolism (8 papers)Medicinal Plants and Neuroprotection (7 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)
- Partner nations
- United StatesIndiaGreece
In The Last Decade
Manish Kumar Saraf
30 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Physiology 1.3k
- Epidemiology 680
- Molecular Biology 434
- Rehabilitation 342
- Cardiology and Cardiovascular Medicine 330
Countries citing papers authored by Manish Kumar Saraf
This map shows the geographic impact of Manish Kumar Saraf'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 Manish Kumar Saraf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Kumar Saraf more than expected).
Fields of papers citing papers by Manish Kumar Saraf
This network shows the impact of papers produced by Manish Kumar Saraf. 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 Manish Kumar Saraf. The network helps show where Manish Kumar Saraf may publish in the future.
Co-authorship network of co-authors of Manish Kumar Saraf
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Kumar Saraf. A scholar is included among the top collaborators of Manish Kumar Saraf 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 Manish Kumar Saraf. Manish Kumar Saraf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 19 | |
| 3 | 44 | |
| 4 | 80 | |
| 5 | 100 | |
| 6 | 43 | |
| 7 | 251 | |
| 8 | 315 | |
| 9 | 17 | |
| 10 | Brown Adipose Tissue Improves Whole-Body Glucose Homeostasis and Insulin Sensitivity in Humansbreakdown → | 602 |
| 11 | 14 | |
| 12 | 38 | |
| 13 | 28 | |
| 14 | 56 | |
| 15 | 72 | |
| 16 | 1 | |
| 17 | 40 | |
| 18 | 47 | |
| 19 | 19 | |
| 20 | 53 |
About Manish Kumar Saraf
Manish Kumar Saraf is a scholar working on Complementary and alternative medicine, Rehabilitation and Neurology, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Medicinal Plants and Neuroprotection (7 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). The work is most often cited by research in Rehabilitation (342 citations), Physiology (1.3k citations) and Complementary and alternative medicine (185 citations). Manish Kumar Saraf has collaborated with scholars based in United States, India and Greece. Frequent co-authors include Maria Chondronikola, Labros S. Sidossis, Tony Chao, Craig Porter, Elisabet Børsheim, Sudesh Prabhakar, Akshay Anand, Hal K. Hawkins, Palam Annamalai and Sébastien M. Labbé. Their work appears in journals such as The Journal of Immunology, Cell Metabolism 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.