Guha Jayachandran

26 total papers · 1.1k total citations
14 papers, 852 citations indexed

About

Guha Jayachandran is a scholar working on Molecular Biology, Materials Chemistry and General Economics, Econometrics and Finance. According to data from OpenAlex, Guha Jayachandran has authored 14 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Materials Chemistry and 3 papers in General Economics, Econometrics and Finance. Recurrent topics in Guha Jayachandran's work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (5 papers) and RNA and protein synthesis mechanisms (3 papers). Guha Jayachandran is often cited by papers focused on Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (5 papers) and RNA and protein synthesis mechanisms (3 papers). Guha Jayachandran collaborates with scholars based in United States, Switzerland and Japan. Guha Jayachandran's co-authors include Vijay S. Pande, Eric J. Sorin, V. Vishal, Michael R. Shirts, Young Min Rhee, Erik Lindahl, Daniel L. Ensign, Yoshiaki Tanida, Hideaki Fujitani and Sanghyun Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Journal of Molecular Biology.

In The Last Decade

Guha Jayachandran

11 papers receiving 829 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guha Jayachandran 639 294 146 117 108 14 852
Hermann Lederer 333 0.5× 220 0.7× 182 1.2× 75 0.6× 55 0.5× 31 950
Scott LeGrand 495 0.8× 178 0.6× 122 0.8× 130 1.1× 85 0.8× 5 799
Osni Marques 510 0.8× 252 0.9× 157 1.1× 95 0.8× 55 0.5× 28 933
Dhruva K. Chakravorty 490 0.8× 234 0.8× 153 1.0× 36 0.3× 98 0.9× 44 1.0k
G. Giupponi 634 1.0× 201 0.7× 71 0.5× 99 0.8× 98 0.9× 18 1.0k
Maria Eleftheriou 487 0.8× 246 0.8× 166 1.1× 33 0.3× 84 0.8× 28 903
Andrew Emerson 288 0.5× 332 1.1× 124 0.8× 195 1.7× 123 1.1× 21 865
Faisal Saied 336 0.5× 169 0.6× 299 2.0× 89 0.8× 48 0.4× 33 967
Jiahao Chen 203 0.3× 166 0.6× 263 1.8× 48 0.4× 70 0.6× 52 919
Linda Andersson 566 0.9× 208 0.7× 186 1.3× 47 0.4× 118 1.1× 18 804

Countries citing papers authored by Guha Jayachandran

Since Specialization
Citations

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

Fields of papers citing papers by Guha Jayachandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guha Jayachandran

This figure shows the co-authorship network connecting the top 25 collaborators of Guha Jayachandran. A scholar is included among the top collaborators of Guha Jayachandran 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 Guha Jayachandran. Guha Jayachandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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