Subodh Kumar

33 papers receiving 1.0k citations

Subodh Kumar's Hit Papers

Transcriptional regulation of autophagy by an FXR–CREB axis 2014 · 344 citations
3440+4+8Years since publication100200300

Peers

Subodh Kumar
Comparison fields: 5 of 115
  • Complementary and alternative medicine 215
  • Biochemistry 103
  • Pharmacology 146
  • Applied Microbiology and Biotechnology 17
  • Physiology 35
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Jing Yang China
Chi Teng Vong Macao
Weifeng Li China
Xiaopeng Ai China
Youngjoo Kwon South Korea
Xueqin Ma China
Ivana Stojanović Serbia
Donavon Charles Hiss South Africa
Shuang Jiang China
Panjamurthy Kuppusamy India
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Countries citing papers authored by Subodh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Subodh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transcriptional regulation of autophagy by an FXR–CREB axis
Hit paper breakdown →
2014344
2 2002113
3 2004113
4 202273
5 200963
6 200555
7 201540
8 200235
9 200531
10 202131
11
Antigenotoxic Activity of Polyphenolic Rich Extracts from Aegle marmelos (L.) Correa in Human Blood Lymphocytes and E.coli PQ 37
200929
12 202326
13 200324
14 202218
15 201018
16 202114
17
Rubia cordifolia L. and Glycyrrhiza glabra L. Medicinal Plants as Potential Source of COX-2 Inhibitors
201013
18 202013
19 200212
20 200210

About Subodh Kumar

Subodh Kumar is a scholar working on Molecular Biology, Complementary and alternative medicine, Surgery, Oncology and Organic Chemistry, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phytochemicals and Medicinal Plants (6 papers), Essential Oils and Antimicrobial Activity (4 papers), Phytochemicals and Antioxidant Activities (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Bioactive Compounds and Antitumor Agents (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Long-Term Effects of COVID-19 (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Complementary and alternative medicine (215 citations), Biochemistry (103 citations), Pharmacology (146 citations), Applied Microbiology and Biotechnology (17 citations) and Physiology (35 citations). Subodh Kumar has collaborated with scholars based in India, Finland and United States. Frequent co-authors include Saroj Arora, Satwinderjeet Kaur, Kamaljit Kaur, Pirkko Härkönen, Husheem Michael, Swayamjot Kaur, Wenxuan Zhong, Rong Zhu, Li Yang and Jongsook Kim Kemper. Their work appears in journals such as Journal of Environmental Pathology Toxicology and Oncology, Journal of Ethnopharmacology, Food and Chemical Toxicology, Nature and Molecules.

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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