Jenu V. Chacko

69 total papers · 1.5k total citations
37 papers, 1.1k citations indexed

About

Jenu V. Chacko is a scholar working on Biophysics, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jenu V. Chacko has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biophysics, 15 papers in Biomedical Engineering and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jenu V. Chacko's work include Advanced Fluorescence Microscopy Techniques (18 papers), Cell Image Analysis Techniques (10 papers) and Force Microscopy Techniques and Applications (6 papers). Jenu V. Chacko is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (18 papers), Cell Image Analysis Techniques (10 papers) and Force Microscopy Techniques and Applications (6 papers). Jenu V. Chacko collaborates with scholars based in United States, Italy and India. Jenu V. Chacko's co-authors include Kevin W. Eliceiri, Michelle A. Digman, Alberto Diaspro, Claire C. Chen, Aude I. Ségaliny, Chi Wut Wong, Linan Liu, Weian Zhao, Shirley X. Zhang and Egest J. Pone and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Jenu V. Chacko

36 papers receiving 1.1k citations

Hit Papers

Elucidation of Exosome Mi... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jenu V. Chacko 608 260 252 226 144 37 1.1k
Rui Yan 762 1.3× 246 0.9× 350 1.4× 93 0.4× 75 0.5× 48 1.4k
Terumasa Hibi 481 0.8× 237 0.9× 308 1.2× 163 0.7× 144 1.0× 31 1.1k
M. Vetterlein 384 0.6× 284 1.1× 164 0.7× 120 0.5× 101 0.7× 35 985
Rupsa Datta 552 0.9× 546 2.1× 417 1.7× 79 0.3× 34 0.2× 22 1.4k
Felix Bestvater 742 1.2× 199 0.8× 275 1.1× 105 0.5× 33 0.2× 43 1.4k
Markus Axmann 440 0.7× 213 0.8× 126 0.5× 38 0.2× 117 0.8× 30 1.1k
Atom Sarkar 678 1.1× 304 1.2× 76 0.3× 57 0.3× 155 1.1× 35 1.4k
Oliver Beutel 753 1.2× 174 0.7× 261 1.0× 27 0.1× 50 0.3× 23 1.2k
Guanyu Gong 449 0.7× 98 0.4× 255 1.0× 68 0.3× 47 0.3× 29 1.0k
Emilio J. Gualda 301 0.5× 611 2.4× 600 2.4× 49 0.2× 205 1.4× 47 1.4k

Countries citing papers authored by Jenu V. Chacko

Since Specialization
Citations

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

Fields of papers citing papers by Jenu V. Chacko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenu V. Chacko. 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 Jenu V. Chacko. The network helps show where Jenu V. Chacko may publish in the future.

Co-authorship network of co-authors of Jenu V. Chacko

This figure shows the co-authorship network connecting the top 25 collaborators of Jenu V. Chacko. A scholar is included among the top collaborators of Jenu V. Chacko 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 Jenu V. Chacko. Jenu V. Chacko 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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