Abhik Sen

52 papers receiving 1.8k citations

Abhik Sen's Hit Papers

Yield of human adipose-derived adult stem cells from liposuction aspirates 2004 · 544 citations
5440+7+14Years since publication100200300400500

Peers

Abhik Sen
Comparison fields: 5 of 112
  • Genetics 425
  • Parasitology 256
  • Infectious Diseases 251
  • Neurology 108
  • Physiology 322
Replace Bernhard F. Gibbs with:
Bernhard F. Gibbs Germany
Yoshitaka Tanaka Japan
Santiago Partida‐Sánchez United States
Ricardo Gonçalves Brazil
Jennifer Alt United States
Mohammad Kazemi Iran
Hong‐Lin Su Taiwan
Guoku Hu United States
Marco Antonio Meraz‐Ríos Mexico
Abhik Sen relative to Bernhard F. Gibbs Germany Bernhard F. Gibbs's profile →
Citations per field
00.5×3.1×
Bernhard F. Gibbs · 1×
Citations per year

Countries citing papers authored by Abhik Sen

Since Specialization
Citations

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

Fields of papers citing papers by Abhik Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Yield of human adipose-derived adult stem cells from liposuction aspirates
Hit paper breakdown →
2004544
2 2006113
3 2005111
4 2015110
5 201789
6 200756
7 201253
8 201352
9 201749
10 200647
11 201346
12 198540
13 202133
14 201429
15 199428
16 201827
17 201627
18 201022
19 200521
20 200620

About Abhik Sen

Abhik Sen is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Physiology, Epidemiology and Infectious Diseases, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (17 papers), Alzheimer's disease research and treatments (10 papers), Trypanosoma species research and implications (8 papers), Animal Disease Management and Epidemiology (7 papers), Animal Virus Infections Studies (5 papers), Amoebic Infections and Treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Nuclear Receptors and Signaling (4 papers). The work is most often cited by research in Genetics (425 citations), Parasitology (256 citations), Infectious Diseases (251 citations), Neurology (108 citations) and Physiology (322 citations). Abhik Sen has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Thomas J. Nelson, Daniel L. Alkon, Pradeep Das, Blythe H. Devlin, Sandra J. Foster, K. C. Hicok, Y.-D. Halvorsen, J. M. Gimble, Jarin Hongpaisan and Phalguni Dutta. Their work appears in journals such as Journal of Alzheimer s Disease, Journal of Biological Chemistry, Biologicals, Scientific Reports and Microbiological Research.

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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