Simi Chacko

1.1k citations
23 papers · 869 · h-index 15

Impact in

Papers in

    • Extracellular vesicles in disease 7
    • RNA Interference and Gene Delivery 2
    • Tissue Engineering and Regenerative Medicine 5
    • Transplantation: Methods and Outcomes 3

Simi Chacko

23 papers receiving 842 citations

Peers

Simi Chacko
Comparison fields: 5 of 89
  • Genetics 254
  • Cancer Research 216
  • Biophysics 42
  • Molecular Biology 442
  • Biomaterials 87
Replace Ivana Manini with:
Ivana Manini Italy
Jinfang Gao China
Nicolàs Samprón Spain
Delphine A. Lacorre United States
Guohan Hu China
Sherry L. Taylor United States
Benjamin Himes United States
Martin Klabusay Czechia
Agneta Månsson‐Broberg Sweden
Mika Pietilä Finland
Simi Chacko relative to Ivana Manini Italy Ivana Manini's profile →
Citations per field
00.5×4.2×
Ivana Manini · 1×
Citations per year

Countries citing papers authored by Simi Chacko

Since Specialization
Citations

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

Fields of papers citing papers by Simi Chacko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010167
2 2014164
3 2009128
4 2018104
5 200749
6 200948
7 201928
8 202019
9 201718
10 201718
11 200818
12 202017
13 202117
14 200616
15 202015
16 202113
17 201210
18 20239
19 20114
20 20233

About Simi Chacko

Simi Chacko is a scholar working on Molecular Biology, Surgery, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 23 papers that have together received 869 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (6 papers), Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Cardiac Ischemia and Reperfusion (4 papers), Transplantation: Methods and Outcomes (3 papers), RNA Interference and Gene Delivery (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Genetics (254 citations), Cancer Research (216 citations), Biophysics (42 citations), Molecular Biology (442 citations) and Biomaterials (87 citations). Simi Chacko has collaborated with scholars based in Canada, United States and Saint Kitts and Nevis. Frequent co-authors include Periannan Kuppusamy, M. Lakshmi Kuppusamy, Mahmood Khan, Karuppaiyah Selvendiran, Nicolas Crapoulet, Shabnam Ahmed, Rodney J. Ouellette, Stephen M. Lewis, Sheik Wisel and Anirban Ghosh. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Scientific Reports, Advances in experimental medicine and biology, Circulation and Insects.

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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