Nischay Mishra
- Infectious Diseases top 0.5%
- Animal Science and Zoology top 0.5%
- Immunology top 5%
- Molecular Biology
- Epidemiology top 5%
- Co-authors
- W. Ian LipkinThomas BrieseAmit KapoorCheng GuoPeter DaszakVishal KapoorJonathan H. EpsteinXin Dong
- Topics
- Animal Virus Infections Studies (11 papers)Viral Infections and Vectors (10 papers)SARS-CoV-2 and COVID-19 Research (7 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesIndiaSaudi Arabia
In The Last Decade
Nischay Mishra
51 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Infectious Diseases 2.6k
- Animal Science and Zoology 795
- Immunology 505
- Molecular Biology 502
- Epidemiology 484
Countries citing papers authored by Nischay Mishra
This map shows the geographic impact of Nischay Mishra'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 Nischay Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nischay Mishra more than expected).
Fields of papers citing papers by Nischay Mishra
This network shows the impact of papers produced by Nischay Mishra. 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 Nischay Mishra. The network helps show where Nischay Mishra may publish in the future.
Co-authorship network of co-authors of Nischay Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Nischay Mishra. A scholar is included among the top collaborators of Nischay Mishra 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 Nischay Mishra. Nischay Mishra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 22 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | Prolonged presence of SARS-CoV-2 viral RNA in faecal samplesbreakdown → | 1104 |
| 12 | 10 | |
| 13 | 15 | |
| 14 | 7 | |
| 15 | 239 | |
| 16 | Middle East Respiratory Syndrome Coronavirus Infection in Dromedary Camels in Saudi Arabiabreakdown → | 362 |
| 17 | 118 | |
| 18 | 147 | |
| 19 | 23 | |
| 20 | 15 |
About Nischay Mishra
Nischay Mishra is a scholar working on Infectious Diseases, Animal Science and Zoology and Hepatology, having authored 53 papers that have together received 4.0k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (11 papers), Viral Infections and Vectors (10 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Infectious Diseases (2.6k citations), Animal Science and Zoology (795 citations) and Modeling and Simulation (303 citations). Nischay Mishra has collaborated with scholars based in United States, India and Saudi Arabia. Frequent co-authors include W. Ian Lipkin, Thomas Briese, Amit Kapoor, Cheng Guo, Peter Daszak, Vishal Kapoor, Jonathan H. Epstein, Xin Dong, Jiahai Lu and Yongjian Wu. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.