Saurabh Sharma
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Biological Psychiatry top 10%
- Physiology top 5%
- Nitric Oxide and Endothelin Effects 6
- Adipose Tissue and Metabolism 3
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems 4
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- Mitochondrial Function and Pathology 5
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- Vaccine Coverage and Hesitancy 4
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- Folate and B Vitamins Research 3
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- Cardiovascular Issues in Pregnancy 3
- Co-authors
- Sandeep TyagiParas GuptaParmeet KaurVandana BhatiaVinod Kumar GuptaDinesh MohanNeeraj MishraSatyanarayana S. V. Padi
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Saurabh Sharma
66 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Neurology 189
- Biological Psychiatry 52
- Physiology 490
- Neurology 269
- Pharmaceutical Science 106
Countries citing papers authored by Saurabh Sharma
This map shows the geographic impact of Saurabh Sharma'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 Saurabh Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Sharma more than expected).
Fields of papers citing papers by Saurabh Sharma
This network shows the impact of papers produced by Saurabh Sharma. 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 Saurabh Sharma. The network helps show where Saurabh Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saurabh Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 31 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 16 | |
| 10 | 2019 | 10 | |
| 11 | Purification and characterization of a lectin isoform of ribosome inactivating protein from Viscum articulatum parasitic on Grewia tilifolia. | 2017 | 2 |
| 12 | 2016 | 24 | |
| 13 | 2015 | 19 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 114 | |
| 16 | Morphometric analysis of part of the Hiran River, District Jabalpur, M.P., India using Remote sensing and GIS | 2014 | 5 |
| 17 | 2013 | 17 | |
| 18 | 2011 | 0 | |
| 19 | 2011 | 50 | |
| 20 | 2006 | 1 |
About Saurabh Sharma
Saurabh Sharma is a scholar working on Pharmaceutical Science, Modeling and Simulation and Toxicology, having authored 72 papers that have together received 2.7k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), Mitochondrial Function and Pathology (5 papers), Advanced Drug Delivery Systems (4 papers), Vaccine Coverage and Hesitancy (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Adipose Tissue and Metabolism (3 papers), Folate and B Vitamins Research (3 papers) and Cardiovascular Issues in Pregnancy (3 papers). The work is most often cited by research in Neurology (189 citations), Biological Psychiatry (52 citations) and Physiology (490 citations). Saurabh Sharma has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Sandeep Tyagi, Paras Gupta, Parmeet Kaur, Vandana Bhatia, Vinod Kumar Gupta, Dinesh Mohan, Neeraj Mishra, Satyanarayana S. V. Padi, Ajay Rana and Kamal Dua.
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.