Narayanan Eswar

13.8k citations
52 papers · 11.2k indexed · 4 hit papers · h-index 25

Narayanan Eswar

51 papers receiving 11.0k citations

Hit Papers

Protein Structure Modeling with MODELLER1.5k200120262009201710002.0k3.0k

Peers

Narayanan Eswar
Comparison fields: 5 of 169
  • Molecular Biology 8.4k
  • Structural Biology 149
  • Computational Theory and Mathematics 807
  • Virology 233
  • Biotechnology 380
Replace Simon C. Lovell with:
Simon C. Lovell United Kingdom
Ben Webb United States
Marc A. Martı́-Renom Spain
Min‐Yi Shen United States
Robert M. Immormino United States
M. S. Madhusudhan India
David Eramian United States
Laura W. Murray United States
Kim Henrick United Kingdom
Ursula Pieper United States
Narayanan Eswar relative to Simon C. Lovell United Kingdom Simon C. Lovell's profile →
Citations per field
00.5×1.5×
Simon C. Lovell · 1×
Citations per year

Countries citing papers authored by Narayanan Eswar

Since Specialization
Citations

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

Fields of papers citing papers by Narayanan Eswar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20107
3 200974
4 200912
5 2009130
6 20092
7 2008126
8 2008121
9 2006215
10 200581
11 200448
12 2003391
13 200324
14 2003229
15 200221
16 2001299
17
Structure of the 80S Ribosome from Saccharomyces cerevisiae—tRNA-Ribosome and Subunit-Subunit Interactionsbreakdown →
2001402
18 200143
19 2000165
20 199933

About Narayanan Eswar

Narayanan Eswar is a scholar working on Applied Mathematics, Mathematical Physics and Molecular Biology, having authored 52 papers that have together received 11.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (16 papers), RNA and protein synthesis mechanisms (14 papers), Machine Learning in Bioinformatics (8 papers), Mathematical Analysis and Transform Methods (8 papers), Advanced Algebra and Geometry (7 papers), Genomics and Phylogenetic Studies (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Molecular Biology (8.4k citations), Structural Biology (149 citations) and Computational Theory and Mathematics (807 citations). Narayanan Eswar has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Andrej Săli, David Eramian, Min‐Yi Shen, Ben Webb, Ursula Pieper, Marc A. Martı́-Renom, M. S. Madhusudhan, Joachim Frank, Pawel A. Penczek and C.M.T. Spahn. Their work appears in journals such as Protein Engineering Design and Selection, Cell, Nucleic Acids Research, Proceedings of the National Academy of 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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