Anıl Kumar

91 papers receiving 1.6k citations

Peers

Anıl Kumar
Comparison fields: 5 of 143
  • Applied Microbiology and Biotechnology 158
  • Biochemistry 220
  • Aging 34
  • Biotechnology 120
  • Molecular Biology 820
Replace An‐Sik Chung with:
An‐Sik Chung South Korea
Tsuyoshi Miyake Japan
Thanh Nguyen Singapore
Mingying Liu China
Shailendra Kumar India
Zheng‐Guo Cui Japan
Yongjun Guo China
Wei Qin China
Hai Huang China
Douglas J.E. Elder United Kingdom
Anıl Kumar relative to An‐Sik Chung South Korea An‐Sik Chung's profile →
Citations per field
00.5×7.5×
An‐Sik Chung · 1×
Citations per year

Countries citing papers authored by Anıl Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anıl Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010217
2 2006180
3 2007177
4 201090
5
Current status of research, technology response and policy needs of salt-affected soils in India - a review.
201868
6 200849
7 201149
8 201040
9 201138
10 201338
11 201832
12 201332
13 200931
14 202228
15 201026
16 201724
17 198924
18 201323
19 201123
20 201521

About Anıl Kumar

Anıl Kumar is a scholar working on Molecular Biology, Surgery, Genetics, Plant Science and Cancer Research, having authored 105 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tannin, Tannase and Anticancer Activities (8 papers), Carcinogens and Genotoxicity Assessment (8 papers), Glutathione Transferases and Polymorphisms (6 papers), Gallbladder and Bile Duct Disorders (5 papers), Mesenchymal stem cell research (4 papers), Animal Genetics and Reproduction (4 papers), Enzyme Production and Characterization (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (158 citations), Biochemistry (220 citations), Aging (34 citations), Biotechnology (120 citations) and Molecular Biology (820 citations). Anıl Kumar has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Thurl E. Harris, John C. Lawrence, Susanna R. Keller, Mark A. Magnuson, Vikas Beniwal, Vinod Chhokar, Shashi Khandelwal, Kin M. Choi, Jason K. Kim and Hwi Jin Ko. Their work appears in journals such as Diabetes, Molecular & Cellular Proteomics, Biocatalysis and Agricultural Biotechnology, Molecular and Cellular Biology and CHEST Journal.

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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