Kal Ramnarayan

404 citations
10 papers · 210 · h-index 9

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • Protein Structure and Dynamics 2
    • RNA and protein synthesis mechanisms 2
    • Glycosylation and Glycoproteins Research 1
    • HIV/AIDS drug development and treatment 3

Kal Ramnarayan

10 papers receiving 188 citations

Peers

Kal Ramnarayan
Comparison fields: 5 of 61
  • Virology 46
  • Infectious Diseases 65
  • Computational Theory and Mathematics 50
  • Molecular Biology 116
  • Spectroscopy 28
Replace Darren W. Begley with:
Darren W. Begley United States
Lucia Parrotta Italy
Keun Woo Lee South Korea
Vishal Prashar India
Monikaben Padariya Poland
Michael Melnick United States
Jerzy M. Dziekan Singapore
Jennifer Timm United States
Christopher J. Yarnold United Kingdom
Toni J. Poel United States
Kal Ramnarayan relative to Darren W. Begley United States Darren W. Begley's profile →
Citations per field
00.5×2×2.6×
Darren W. Begley · 1×
Citations per year

Countries citing papers authored by Kal Ramnarayan

Since Specialization
Citations

This map shows the geographic impact of Kal Ramnarayan'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 Kal Ramnarayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kal Ramnarayan more than expected).

Fields of papers citing papers by Kal Ramnarayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kal Ramnarayan. 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 Kal Ramnarayan. The network helps show where Kal Ramnarayan may publish in the future.

Co-authors

The 17 scholars most cited alongside Kal Ramnarayan, 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 Kal Ramnarayan Line = papers co-authored together Kal Ramnarayan links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 199945
2 200138
3 200536
4 200330
5 200116
6 201212
7 200210
8 201210
9 20128
10 20035

About Kal Ramnarayan

Kal Ramnarayan is a scholar working on Molecular Biology, Infectious Diseases, Virology, Ecology and Materials Chemistry, having authored 10 papers that have together received 210 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (3 papers), HIV Research and Treatment (3 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers), Bacteriophages and microbial interactions (2 papers), RNA and protein synthesis mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Virology (46 citations), Infectious Diseases (65 citations), Computational Theory and Mathematics (50 citations), Molecular Biology (116 citations) and Spectroscopy (28 citations). Kal Ramnarayan has collaborated with scholars based in United States and India. Frequent co-authors include E Maggio, Jing Wang, Mark D. Shenderovich, Ron M. Kagan, Peter N.R. Heseltine, Richard A. Bunce, Shankari E. Mylvaganam, Esther W. Barrow, S.L.-F. Chan and K. Darrell Berlin. Their work appears in journals such as Drug Discovery Today, Protein Science, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Trends in biotechnology and ChemMedChem.

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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