Vidyashankara Iyer

15.8k citations
12 papers · 6.3k indexed · 1 hit paper · h-index 10

Vidyashankara Iyer

12 papers receiving 6.2k citations

Hit Papers

CHARMM‐GUI: A web‐based graphical user interface for CHARMM6.0k20082026201420202.0k4.0k6.0k

Peers

Vidyashankara Iyer
Comparison fields: 5 of 152
  • Molecular Biology 4.4k
  • Microbiology 259
  • Cellular and Molecular Neuroscience 647
  • Computational Theory and Mathematics 517
  • Molecular Medicine 125
Replace Xi Cheng with:
Xi Cheng China
Justin A. Lemkul United States
Yifei Qi United States
Wim Vranken Belgium
Sarah Rauscher Canada
Grzegorz Nawrocki United States
Elizabeth Hatcher United States
Chitrangada Acharya India
Rossen Apostolov Sweden
Ting Ran China
Vidyashankara Iyer relative to Xi Cheng China Xi Cheng's profile →
Citations per field
00.5×1.5×
Xi Cheng · 1×
Citations per year

Countries citing papers authored by Vidyashankara Iyer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Vidyashankara Iyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vidyashankara Iyer Line = papers co-authored together Vidyashankara Iyer links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20189
2 201720
3 20163
4 201560
5 201425
6 20138
7 201212
8 201211
9 201239
10 201225
11
CHARMM‐GUI: A web‐based graphical user interface for CHARMMbreakdown →
20086038
12
Software News and Updates CHARMM-GUI: A Web-Based Graphical User Interface for CHARMM
200823

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), Viral gastroenteritis research and epidemiology (2 papers), Protein Structure and Dynamics (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Immunotherapy and Immune Responses (2 papers), Bacillus and Francisella bacterial research (1 paper) and Respiratory viral infections research (1 paper). 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.

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