Jenu V. Chacko

1.5k citations
38 papers · 1.1k indexed · 1 hit paper · h-index 18
Topics
Advanced Fluorescence Microscopy Techniques (18 papers)Cell Image Analysis Techniques (10 papers)Force Microscopy Techniques and Applications (6 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaACS Nano

In The Last Decade

Jenu V. Chacko

36 papers receiving 1.1k citations

Hit Papers

Elucidation of Exosome Migration Across the Blood–Brain B...20162026201920222016100200300400

Peers

Jenu V. Chacko
Comparison fields: 5 of 119
  • Molecular Biology 611
  • Biomedical Engineering 262
  • Biophysics 256
  • Cancer Research 226
  • Atomic and Molecular Physics, and Optics 144
Replace Rupsa Datta with:
Rupsa Datta United States
Tiffany M. Heaster United States
Ron A. Hoebe Netherlands
Emilio J. Gualda Spain
Sean Warren United Kingdom
Erik S. Welf United States
Alison J. North United States
Maria Ingaramo United States
Zdeněk Švindrych Czechia
Jordan R. Beach United States
Jenu V. Chacko relative to Rupsa Datta United States Rupsa Datta's profile →
Citations per field
00.5×4.2×
Rupsa Datta · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 0
4 21
5 23
6 7
7 20
8 3
9 29
10 19
11 18
12 20
13 17
14 54
15 8
16 78
17
Elucidation of Exosome Migration Across the Blood–Brain Barrier Model In Vitrobreakdown →
422
18 1
19 70
20 9

About Jenu V. Chacko

Jenu V. Chacko is a scholar working on Biophysics, Structural Biology and Instrumentation, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (18 papers), Cell Image Analysis Techniques (10 papers) and Force Microscopy Techniques and Applications (6 papers). The work is most often cited by research in Biophysics (256 citations), Structural Biology (60 citations) and Cancer Research (226 citations). Jenu V. Chacko has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Kevin W. Eliceiri, Michelle A. Digman, Alberto Diaspro, Claire C. Chen, Shirley X. Zhang, Egest J. Pone, Chi Wut Wong, Aude I. Ségaliny, Linan Liu and Weian Zhao. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

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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