Ajay Kumar Mathur

2.1k citations
64 papers · 1.3k · h-index 25

Impact in

Papers in

    • Plant tissue culture and regeneration 37
    • Ginseng Biological Effects and Applications 7
    • GABA and Rice Research 5
    • Plant Genetic and Mutation Studies 5

Ajay Kumar Mathur

61 papers receiving 1.3k citations

Peers

Ajay Kumar Mathur
Comparison fields: 5 of 98
  • Biotechnology 275
  • Complementary and alternative medicine 171
  • Pharmacology 148
  • Plant Science 561
  • Molecular Biology 921
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Yuanyuan Lu China
Yong Eui Choi South Korea
Youngmin Kang South Korea
Surrinder K. Lattoo India
Ewa Skała Poland
Thaworn Kowithayakorn Japan
Natascha Techen United States
Dewu Zhang China
Zheyong Xue China
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Citations per field
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Citations per year

Countries citing papers authored by Ajay Kumar Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Ajay Kumar Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201197
2 201486
3 198965
4 200848
5 201248
6 201847
7 201746
8 201043
9 199642
10 201441
11 201235
12 201935
13 199434
14 201432
15 201431
16 200931
17 200930
18 201129
19 201129
20 201027

About Ajay Kumar Mathur

Ajay Kumar Mathur is a scholar working on Molecular Biology, Plant Science, Pharmacology, Biotechnology and Pharmacology, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (37 papers), Transgenic Plants and Applications (10 papers), Berberine and alkaloids research (9 papers), Medicinal Plants and Neuroprotection (8 papers), Ginseng Biological Effects and Applications (7 papers), Pharmacological Effects of Natural Compounds (6 papers), GABA and Rice Research (5 papers) and Plant Genetic and Mutation Studies (5 papers). The work is most often cited by research in Biotechnology (275 citations), Complementary and alternative medicine (171 citations), Pharmacology (148 citations), Plant Science (561 citations) and Molecular Biology (921 citations). Ajay Kumar Mathur has collaborated with scholars based in India, United States and Oman. Frequent co-authors include Priyanka Verma, Archana Mathur, Abhishek Sharma, Karuna Shanker, Shamshad A. Khan, Suaib Luqman, Archana Prasad, Madan M. Gupta, Dhananjay Kumar Singh and R.K. Lal. Their work appears in journals such as PROTOPLASMA, Plant Cell Tissue and Organ Culture (PCTOC), Industrial Crops and Products, Applied Biochemistry and Biotechnology and Biotechnology Letters.

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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