Krishna Anand
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
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- Animal Virus Infections Studies 3
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 1
- Co-authors
- Haisun Zhu (3 shared papers)Jun Zhang (3 shared papers)Tianshu Xiao (3 shared papers)Sophia Rits‐Volloch (3 shared papers)Yongfei Cai (3 shared papers)Avneesh Kumar Gautam (3 shared papers)Christy L. Lavine (3 shared papers)Pei Ying Tong (3 shared papers)
- Journals
- Science (2 papers)Cell Reports (1 paper)Nature Structural & Molecular Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Krishna Anand
4 papers receiving 534 citations
Krishna Anand's Hit Papers
Peers
Comparison fields: 5 of 49
- Infectious Diseases 482
- Animal Science and Zoology 79
- Modeling and Simulation 19
- Computational Theory and Mathematics 47
- Molecular Biology 182
Countries citing papers authored by Krishna Anand
This map shows the geographic impact of Krishna Anand'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 Krishna Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Anand more than expected).
Fields of papers citing papers by Krishna Anand
This network shows the impact of papers produced by Krishna Anand. 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 Krishna Anand. The network helps show where Krishna Anand may publish in the future.
Co-authors
The 21 scholars most cited alongside Krishna Anand, 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 | Membrane fusion and immune evasion by the spike protein of SARS-CoV-2 Delta variant Hit paper breakdown → | 2021 | 224 |
| 2 | 2021 | 183 | |
| 3 | 2022 | 116 | |
| 4 | 2023 | 18 | |
| 5 | 2025 | 0 |
About Krishna Anand
Krishna Anand is a scholar working on Animal Science and Zoology, Infectious Diseases, Ecology, Molecular Biology and Insect Science, having authored 5 papers that have together received 541 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (3 papers), Bacteriophages and microbial interactions (2 papers), vaccines and immunoinformatics approaches (1 paper), COVID-19 Clinical Research Studies (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Infectious Diseases (482 citations), Animal Science and Zoology (79 citations), Modeling and Simulation (19 citations), Computational Theory and Mathematics (47 citations) and Molecular Biology (182 citations). Krishna Anand has collaborated with scholars based in United States. Frequent co-authors include Haisun Zhu, Jun Zhang, Tianshu Xiao, Sophia Rits‐Volloch, Yongfei Cai, Avneesh Kumar Gautam, Christy L. Lavine, Pei Ying Tong, Hanqin Peng and Bing Chen. Their work appears in journals such as Science, Cell Reports, Nature Structural & Molecular Biology and Proceedings of the National Academy of Sciences.
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.