Manoj Gopalakrishnan

84 total papers · 533 total citations
41 papers, 379 citations indexed

About

Manoj Gopalakrishnan is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Cell Biology. According to data from OpenAlex, Manoj Gopalakrishnan has authored 41 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Electrical and Electronic Engineering and 12 papers in Cell Biology. Recurrent topics in Manoj Gopalakrishnan's work include Microtubule and mitosis dynamics (9 papers), Advanced DC-DC Converters (6 papers) and Multilevel Inverters and Converters (6 papers). Manoj Gopalakrishnan is often cited by papers focused on Microtubule and mitosis dynamics (9 papers), Advanced DC-DC Converters (6 papers) and Multilevel Inverters and Converters (6 papers). Manoj Gopalakrishnan collaborates with scholars based in India, United States and Germany. Manoj Gopalakrishnan's co-authors include Kimberly Forsten‐Williams, Matthew A. Nugent, Uwe C. Täuber, Maria Mitsi, V. Jayashankar, Deepak Bhat, K. Udayakumar, B. Schmittmann, Luz T Padro and Theresa R. Cassino and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Manoj Gopalakrishnan

38 papers receiving 356 citations

Author Peers

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

Author Last Decade Papers Cites
Manoj Gopalakrishnan 162 93 77 60 48 41 379
Vladimir I. Stadnichuk 118 0.7× 37 0.4× 35 0.5× 60 1.0× 29 0.6× 30 415
Zhanghan Wu 176 1.1× 135 1.5× 26 0.3× 48 0.8× 16 0.3× 16 370
Zhong-Can Ou-Yang 147 0.9× 46 0.5× 29 0.4× 74 1.2× 8 0.2× 32 409
Steven M. Abel 243 1.5× 98 1.1× 7 0.1× 37 0.6× 13 0.3× 30 403
Abhishek Chaudhuri 106 0.7× 55 0.6× 54 0.7× 125 2.1× 6 0.1× 32 388
Yusuke Watanabe 133 0.8× 42 0.5× 90 1.2× 56 0.9× 5 0.1× 21 418
Yu Zheng 71 0.4× 114 1.2× 13 0.2× 93 1.6× 6 0.1× 28 405
Yuxin Duan 190 1.2× 70 0.8× 57 0.7× 17 0.3× 27 0.6× 23 407
Chenghua Liang 39 0.2× 28 0.3× 80 1.0× 133 2.2× 13 0.3× 20 440
Ulysse Delabre 102 0.6× 129 1.4× 47 0.6× 47 0.8× 3 0.1× 20 422

Countries citing papers authored by Manoj Gopalakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Gopalakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Gopalakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Gopalakrishnan. A scholar is included among the top collaborators of Manoj Gopalakrishnan 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 Manoj Gopalakrishnan. Manoj Gopalakrishnan 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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