Arindom Sen

68 papers receiving 1.8k citations

Peers

Arindom Sen
Comparison fields: 5 of 125
  • Genetics 486
  • Developmental Neuroscience 159
  • Molecular Biology 949
  • Biomedical Engineering 597
  • Biomaterials 176
Replace Michael S. Kallos with:
Michael S. Kallos Canada
Ben A. Scheven United Kingdom
Stefan Arnhold Germany
Guangqian Zhou China
Michael Wöltje Germany
Wenxue Zhao China
Maria Szymonowicz Poland
David García‐Bernal Spain
Yuji Yasunaga Japan
Arindom Sen relative to Michael S. Kallos Canada Michael S. Kallos's profile →
Citations per field
00.5×1.6×
Michael S. Kallos · 1×
Citations per year

Countries citing papers authored by Arindom Sen

Since Specialization
Citations

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

Fields of papers citing papers by Arindom Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018120
2 2021109
3 201088
4 201282
5 200170
6 200264
7 201861
8 202160
9 201858
10 200756
11 201453
12 200651
13 200651
14 201145
15 201141
16 200341
17 200838
18 200236
19 200432
20 200932

About Arindom Sen

Arindom Sen is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Biomedical Engineering and Developmental Neuroscience, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (17 papers), Mesenchymal stem cell research (16 papers), Neurogenesis and neuroplasticity mechanisms (12 papers), Nerve injury and regeneration (10 papers), 3D Printing in Biomedical Research (9 papers), Tissue Engineering and Regenerative Medicine (8 papers), Extracellular vesicles in disease (6 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). The work is most often cited by research in Genetics (486 citations), Developmental Neuroscience (159 citations), Molecular Biology (949 citations), Biomedical Engineering (597 citations) and Biomaterials (176 citations). Arindom Sen has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Leo A. Behie, Michael S. Kallos, Amir Sanati‐Nezhad, Lawrence Rosenberg, Ian D. Gates, Sunghoon Jung, Neil A. Duncan, David A. Hart, Mark Ungrin and Murray Hong. Their work appears in journals such as Biotechnology and Bioengineering, Biotechnology Progress, The Canadian Journal of Chemical Engineering, Journal of Tissue Engineering and Regenerative Medicine and Cytotherapy.

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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