Vidyashankara Iyer
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 2%
- Materials Chemistry top 10%
- Computational Theory and Mathematics top 1%
- Biomedical Engineering top 5%
- Co-authors
- Sunhwan JoWonpil ImTaehoon KimSangeeta B. JoshiC. Russell MiddaughDavid B. VolkinJae Hyun KimKirsten Schneider-Ohrum
- Topics
- Protein purification and stability (5 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)Viral gastroenteritis research and epidemiology (2 papers)
- Partner nations
- United StatesAustriaFrance
In The Last Decade
Vidyashankara Iyer
12 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 4.4k
- Cellular and Molecular Neuroscience 647
- Materials Chemistry 530
- Computational Theory and Mathematics 517
- Biomedical Engineering 481
Countries citing papers authored by Vidyashankara Iyer
This map shows the geographic impact of Vidyashankara Iyer'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 Vidyashankara Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidyashankara Iyer more than expected).
Fields of papers citing papers by Vidyashankara Iyer
This network shows the impact of papers produced by Vidyashankara Iyer. 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 Vidyashankara Iyer. The network helps show where Vidyashankara Iyer may publish in the future.
Co-authorship network of co-authors of Vidyashankara Iyer
This figure shows the co-authorship network connecting the top 25 collaborators of Vidyashankara Iyer. A scholar is included among the top collaborators of Vidyashankara Iyer 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 Vidyashankara Iyer. Vidyashankara Iyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 20 | |
| 3 | 3 | |
| 4 | 60 | |
| 5 | 25 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 11 | |
| 9 | 39 | |
| 10 | 25 | |
| 11 | CHARMM‐GUI: A web‐based graphical user interface for CHARMMbreakdown → | 6038 |
| 12 | Software News and Updates CHARMM-GUI: A Web-Based Graphical User Interface for CHARMM | 23 |
About Vidyashankara Iyer
Vidyashankara Iyer is a scholar working on Spectroscopy, Infectious Diseases and Immunology, having authored 12 papers that have together received 6.3k indexed citations. Recurring topics across this work include Protein purification and stability (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Molecular Biology (4.4k citations), Microbiology (259 citations) and Cellular and Molecular Neuroscience (647 citations). Vidyashankara Iyer has collaborated with scholars based in United States, Austria and France. Frequent co-authors include Sunhwan Jo, Wonpil Im, Taehoon Kim, Sangeeta B. Joshi, C. Russell Middaugh, David B. Volkin, Jae Hyun Kim, Kirsten Schneider-Ohrum, Michael McCarthy and B. K. Muralidhara. Their work appears in journals such as Journal of Computational Chemistry, Journal of Pharmaceutical Sciences and Protein Science.
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.