Jitendra Kumar Chaudhary
- Infectious Diseases top 10%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Immunology
- Biomedical Engineering
- Co-authors
- Pankaj Kumar ChaudharyRohitash YadavPuneet DhamijaAshish KumarAmbika SharmaNeeraj JainShailendra HanduPramod C. Rath
- Topics
- Mesenchymal stem cell research (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)COVID-19 Clinical Research Studies (3 papers)
- Partner nations
- IndiaSaudi ArabiaOman
In The Last Decade
Jitendra Kumar Chaudhary
24 papers receiving 503 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Infectious Diseases 238
- Molecular Biology 154
- Computational Theory and Mathematics 81
- Immunology 60
- Biomedical Engineering 37
Countries citing papers authored by Jitendra Kumar Chaudhary
This map shows the geographic impact of Jitendra Kumar Chaudhary'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 Jitendra Kumar Chaudhary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jitendra Kumar Chaudhary more than expected).
Fields of papers citing papers by Jitendra Kumar Chaudhary
This network shows the impact of papers produced by Jitendra Kumar Chaudhary. 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 Jitendra Kumar Chaudhary. The network helps show where Jitendra Kumar Chaudhary may publish in the future.
Co-authorship network of co-authors of Jitendra Kumar Chaudhary
This figure shows the co-authorship network connecting the top 25 collaborators of Jitendra Kumar Chaudhary. A scholar is included among the top collaborators of Jitendra Kumar Chaudhary 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 Jitendra Kumar Chaudhary. Jitendra Kumar Chaudhary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 25 | |
| 14 | 45 | |
| 15 | 30 | |
| 16 | 3 | |
| 17 | Analysis of Morbidity and Mortality Rate in Bovine Under Village Conditions of Uttar Pradesh | 6 |
| 18 | 10 | |
| 19 | 9 | |
| 20 | 3 |
About Jitendra Kumar Chaudhary
Jitendra Kumar Chaudhary is a scholar working on Agronomy and Crop Science, Aging and Animal Science and Zoology, having authored 34 papers that have together received 516 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (238 citations), Computational Theory and Mathematics (81 citations) and Genetics (34 citations). Jitendra Kumar Chaudhary has collaborated with scholars based in India, Saudi Arabia and Oman. Frequent co-authors include Pankaj Kumar Chaudhary, Rohitash Yadav, Puneet Dhamija, Ashish Kumar, Ambika Sharma, Neeraj Jain, Shailendra Handu, Pramod C. Rath, Shiv Prasad and İsmail Çeli̇k. Their work appears in journals such as PLoS ONE, Scientific Reports and European Journal of Medicinal Chemistry.
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.