T.V. Anilkumar

56 papers receiving 1.1k citations

Peers

T.V. Anilkumar
Comparison fields: 5 of 110
  • Biomaterials 328
  • Hepatology 162
  • Rehabilitation 124
  • Surgery 405
  • Molecular Medicine 36
Replace Jinglin Wang with:
Jinglin Wang China
Zhongmin Chen China
Mohammad Foad Abazari Iran
Jae Jin Cho South Korea
Rui Deng China
Weizhe Xu China
Shiro Uyama Japan
Reena Rai India
Riki Toita Japan
Vladimir Riabov Germany
T.V. Anilkumar relative to Jinglin Wang China Jinglin Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by T.V. Anilkumar

Since Specialization
Citations

This map shows the geographic impact of T.V. Anilkumar'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 T.V. Anilkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.V. Anilkumar more than expected).

Fields of papers citing papers by T.V. Anilkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200674
2
Cell behavior in the acetylaminofluorene-treated regenerating rat liver. Light and electron microscopic observations.
199474
3 200769
4 201169
5 199262
6 201753
7 200252
8 199345
9 199542
10 201336
11 199534
12 201429
13 201328
14 202027
15 200527
16 199625
17 199324
18 201422
19 201722
20 202018

About T.V. Anilkumar

T.V. Anilkumar is a scholar working on Surgery, Biomaterials, Rehabilitation, Molecular Biology and Biomedical Engineering, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (23 papers), Tissue Engineering and Regenerative Medicine (22 papers), Wound Healing and Treatments (9 papers), Liver physiology and pathology (7 papers), Bone Tissue Engineering Materials (6 papers), Aluminum Alloy Microstructure Properties (3 papers), Periodontal Regeneration and Treatments (3 papers) and Aluminum Alloys Composites Properties (3 papers). The work is most often cited by research in Biomaterials (328 citations), Hepatology (162 citations), Rehabilitation (124 citations), Surgery (405 citations) and Molecular Medicine (36 citations). T.V. Anilkumar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Malcolm Alison, Catherine Sarraf, Jaseer Muhamed, P.V. Mohanan, El–Nasir Lalani, Akhila Rajan, Richard Poulsom, Vadavanath Prabhakaran Vineetha, Toby Hunt and Chandra P. Sharma. Their work appears in journals such as Journal of Biomedical Materials Research Part B Applied Biomaterials, Toxicologic Pathology, Carcinogenesis, The Journal of Pathology and Journal of Biomedical Materials Research Part A.

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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