B. Jayaram

7.5k citations
177 papers · 5.9k · h-index 41

Impact in

Papers in

    • Protein Structure and Dynamics 54
    • RNA and protein synthesis mechanisms 45
    • DNA and Nucleic Acid Chemistry 40
    • Machine Learning in Bioinformatics 15
    • Genomics and Phylogenetic Studies 8
    • Computational Drug Discovery Methods 32

B. Jayaram

174 papers receiving 5.8k citations

Peers

B. Jayaram
Comparison fields: 5 of 156
  • Physical and Theoretical Chemistry 561
  • Molecular Biology 4.1k
  • Computational Theory and Mathematics 707
  • Filtration and Separation 65
  • Organic Chemistry 753
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Citations per year

Countries citing papers authored by B. Jayaram

Since Specialization
Citations

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

Fields of papers citing papers by B. Jayaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside B. Jayaram, 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 B. Jayaram Line = papers co-authored together B. Jayaram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997308
2 2009259
3 1989233
4 1998220
5 2012186
6 2004180
7 1998173
8 2014168
9 1989136
10 2001132
11 1998120
12 2016116
13 1998108
14 1996103
15 1999100
16 200799
17 201198
18 200496
19 200192
20 199083

About B. Jayaram

B. Jayaram is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Organic Chemistry and Atomic and Molecular Physics, and Optics, having authored 177 papers that have together received 5.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (54 papers), RNA and protein synthesis mechanisms (45 papers), DNA and Nucleic Acid Chemistry (40 papers), Computational Drug Discovery Methods (32 papers), Enzyme Structure and Function (23 papers), Machine Learning in Bioinformatics (15 papers), Spectroscopy and Quantum Chemical Studies (14 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Physical and Theoretical Chemistry (561 citations), Molecular Biology (4.1k citations), Computational Theory and Mathematics (707 citations), Filtration and Separation (65 citations) and Organic Chemistry (753 citations). B. Jayaram has collaborated with scholars based in India, United States and Bulgaria. Frequent co-authors include D. L. Beveridge, Matthew A. Young, Tarun Jain, David L. Beveridge, Barry Honig, Kim A. Sharp, Dennis Sprous, Tanya Singh, Surjit B. Dixit and Goutam Mukherjee. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Scientific Reports, The Journal of Physical Chemistry, Journal of the American Chemical Society and Journal of Computational Chemistry.

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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