Saurabh Sharma
- Animal Science and Zoology top 10%
- Small Animals top 10%
- Water Science and Technology
- Nutrition and Dietetics
- Health, Toxicology and Mutagenesis
- Co-authors
- Asif IqbalAbiodun A. AdesiyunKyla H ThomasHamid Ullah ShahD. SimeonM. Vishnu Vardhana RaoAtul JunejaTulsi Adhikari
- Topics
- COVID-19 epidemiological studies (5 papers)Global Maternal and Child Health (5 papers)Vaccine Coverage and Hesitancy (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Food Microbiology
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Saurabh Sharma
37 papers receiving 272 citations
Peers
Comparison fields: 5 of 94
- Animal Science and Zoology 79
- Small Animals 47
- Water Science and Technology 46
- Nutrition and Dietetics 44
- Health, Toxicology and Mutagenesis 39
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 of co-authors of Saurabh Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Sharma. A scholar is included among the top collaborators of Saurabh Sharma 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 Saurabh Sharma. Saurabh Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 26 | |
| 18 | The Rise of Chronic Kidney Disease in Remote Living Aboriginal People in the Context of the Epidemiologic and Health Transition | 1 |
| 19 | Primary Sjogren Syndrome - A Case Report | 0 |
| 20 | 70 |
About Saurabh Sharma
Saurabh Sharma is a scholar working on Modeling and Simulation, Health and Obstetrics and Gynecology, having authored 46 papers that have together received 300 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Global Maternal and Child Health (5 papers) and Vaccine Coverage and Hesitancy (4 papers). The work is most often cited by research in Animal Science and Zoology (79 citations), Small Animals (47 citations) and Water Science and Technology (46 citations). Saurabh Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Asif Iqbal, Abiodun A. Adesiyun, Kyla H Thomas, Hamid Ullah Shah, D. Simeon, M. Vishnu Vardhana Rao, Atul Juneja, Tulsi Adhikari, Jyotsna Gupta and Mohua Maulik. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Food Microbiology.
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.