Nishant Shekhar
- Infectious Diseases top 5%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Neurology top 10%
- Organic Chemistry
- Co-authors
- Bikash MedhiAjay PrakashPhulen SarmaManisha PrajapatHardeep KaurSubodh KumarPramod AvtiAnusuya Bhattacharyya
- Topics
- SARS-CoV-2 and COVID-19 Research (9 papers)Computational Drug Discovery Methods (9 papers)COVID-19 Clinical Research Studies (5 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Nishant Shekhar
26 papers receiving 699 citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 436
- Computational Theory and Mathematics 190
- Molecular Biology 172
- Neurology 117
- Organic Chemistry 63
Countries citing papers authored by Nishant Shekhar
This map shows the geographic impact of Nishant Shekhar'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 Nishant Shekhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishant Shekhar more than expected).
Fields of papers citing papers by Nishant Shekhar
This network shows the impact of papers produced by Nishant Shekhar. 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 Nishant Shekhar. The network helps show where Nishant Shekhar may publish in the future.
Co-authorship network of co-authors of Nishant Shekhar
This figure shows the co-authorship network connecting the top 25 collaborators of Nishant Shekhar. A scholar is included among the top collaborators of Nishant Shekhar 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 Nishant Shekhar. Nishant Shekhar 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 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 29 | |
| 14 | 67 | |
| 15 | 175 | |
| 16 | 25 | |
| 17 | 141 | |
| 18 | 26 | |
| 19 | 7 | |
| 20 | 6 |
About Nishant Shekhar
Nishant Shekhar is a scholar working on Infectious Diseases, Computational Theory and Mathematics and Endocrinology, having authored 30 papers that have together received 710 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Computational Drug Discovery Methods (9 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Infectious Diseases (436 citations), Computational Theory and Mathematics (190 citations) and Neurology (117 citations). Nishant Shekhar has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Bikash Medhi, Ajay Prakash, Phulen Sarma, Manisha Prajapat, Hardeep Kaur, Subodh Kumar, Pramod Avti, Anusuya Bhattacharyya, Saurabh Sharma and Deba Prasad Dhibar. Their work appears in journals such as PLoS ONE, Scientific Reports and Emerging infectious diseases.
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.