Anil Kumar

240 papers receiving 7.9k citations

Anil Kumar's Hit Papers

Current knowledge and pharmacological profile of berberine: An update 2015 · 464 citations
4640+3+7Years since publication100200300400

Peers

Anil Kumar
Comparison fields: 5 of 141
  • Biological Psychiatry 653
  • Complementary and alternative medicine 1.1k
  • Neurology 815
  • Cellular and Molecular Neuroscience 1.7k
  • Behavioral Neuroscience 297
Replace Myeong Ok Kim with:
Myeong Ok Kim South Korea
Kanwaljit Chopra India
Mustafa Nazıroğlu Türkiye
Mehrdad Roghani Iran
Emanuela Esposito Italy
Gerald W Münch Australia
Giovanni Scapagnini Italy
Cesare Mancuso Italy
In Koo Hwang South Korea
Gemma Casadesús United States
Anil Kumar relative to Myeong Ok Kim South Korea Myeong Ok Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 256 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Current knowledge and pharmacological profile of berberine: An update
Hit paper breakdown →
2015464
2 2002237
3 2009188
4 2009170
5 2006149
6 2015132
7 2009130
8 2009127
9 2006119
10 2011117
11 2009115
12 2003109
13 2009108
14 2009105
15 2014101
16 2011100
17 2013100
18 201095
19 201393
20 200792

About Anil Kumar

Anil Kumar is a scholar working on Cellular and Molecular Neuroscience, Complementary and alternative medicine, Biological Psychiatry, Physiology and Pharmacology, having authored 256 papers that have together received 8.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (34 papers), Medicinal Plants and Neuroprotection (30 papers), Genetic Neurodegenerative Diseases (28 papers), Biochemical effects in animals (27 papers), Mitochondrial Function and Pathology (24 papers), Tryptophan and brain disorders (21 papers), Stress Responses and Cortisol (17 papers) and Neuroinflammation and Neurodegeneration Mechanisms (14 papers). The work is most often cited by research in Biological Psychiatry (653 citations), Complementary and alternative medicine (1.1k citations), Neurology (815 citations), Cellular and Molecular Neuroscience (1.7k citations) and Behavioral Neuroscience (297 citations). Anil Kumar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Puneet Kumar, Atish Kumar Prakash, Samrita Dogra, Harikesh Kalonia, Vaibhav Gaur, Jitendriya Mishra, Puneet Rinwa, Dinesh Kumar Dhull, Pattipati S. Naidu and Arti Singh. Their work appears in journals such as Inflammopharmacology, Pharmacological Reports, European Journal of Pharmacology, Alzheimer s & Dementia and Brain 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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