K. Anand
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
Papers in
-
- RNA Research and Splicing 5
- RNA modifications and cancer 4
- Protein Structure and Dynamics 3
- Oncology 7
- Cancer-related Molecular Pathways 6
- Co-authors
- R. Hilgenfeld (5 shared papers)J.R. Mesters (4 shared papers)Parvesh Wadhwani (1 shared paper)John Ziebuhr (2 shared papers)Zihe Rao (3 shared papers)Matthias Geyer (12 shared papers)Maojun Yang (2 shared papers)Lei Sun (1 shared paper)
- Journals
- Nature Communications (4 papers)Cell Reports (2 papers)Journal of Molecular Biology (2 papers)Journal of Biological Chemistry (2 papers)PLoS ONE (1 paper)
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
K. Anand
29 papers receiving 3.8k citations
K. Anand's Hit Papers
Peers
Comparison fields: 5 of 116
- Infectious Diseases 1.8k
- Computational Theory and Mathematics 1.3k
- Animal Science and Zoology 341
- Molecular Biology 1.7k
- Virology 91
Countries citing papers authored by K. Anand
This map shows the geographic impact of K. 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 K. Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Anand more than expected).
Fields of papers citing papers by K. Anand
This network shows the impact of papers produced by K. 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 K. Anand. The network helps show where K. Anand may publish in the future.
Co-authors
The 25 scholars most cited alongside K. 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Coronavirus Main Proteinase (3CL pro ) Structure: Basis for Design of Anti-SARS Drugs Hit paper breakdown → | 2003 | 1363 |
| 2 | The crystal structures of severe acute respiratory syndrome virus main protease and its complex with an inhibitor Hit paper breakdown → | 2003 | 783 |
| 3 | Structure of coronavirus main proteinase reveals combination of a chymotrypsin fold with an extra α‐helical domain Hit paper breakdown → | 2002 | 502 |
| 4 | 2013 | 274 | |
| 5 | 2014 | 148 | |
| 6 | 2005 | 141 | |
| 7 | 2015 | 104 | |
| 8 | 2007 | 75 | |
| 9 | 2008 | 67 | |
| 10 | 2015 | 54 | |
| 11 | 2002 | 49 | |
| 12 | 2021 | 42 | |
| 13 | 2007 | 33 | |
| 14 | 2008 | 29 | |
| 15 | 2021 | 25 | |
| 16 | 2017 | 24 | |
| 17 | 2012 | 23 | |
| 18 | 2020 | 21 | |
| 19 | 2006 | 12 | |
| 20 | 2024 | 11 |
About K. Anand
K. Anand is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Infectious Diseases and Organic Chemistry, having authored 29 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), RNA Research and Splicing (5 papers), Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Enzyme Structure and Function (4 papers), RNA modifications and cancer (4 papers), Cellular transport and secretion (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Computational Theory and Mathematics (1.3k citations), Animal Science and Zoology (341 citations), Molecular Biology (1.7k citations) and Virology (91 citations). K. Anand has collaborated with scholars based in Germany, United States and India. Frequent co-authors include R. Hilgenfeld, J.R. Mesters, Parvesh Wadhwani, John Ziebuhr, Zihe Rao, Matthias Geyer, Maojun Yang, Lei Sun, Zhiyong Lou and Hai Pang. Their work appears in journals such as Nature Communications, Cell Reports, Journal of Molecular Biology, Journal of Biological Chemistry 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.