Ajay Kumar Mathur
- Biotechnology top 5%
- Transgenic Plants and Applications 10
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- Medicinal Plants and Neuroprotection 8
- Pharmacology top 5%
- Berberine and alkaloids research 7
- Pharmacological Effects of Natural Compounds 6
- Alkaloids: synthesis and pharmacology 4
- Plant Science top 5%
- GABA and Rice Research 5
- Toxicology top 5%
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- Plant tissue culture and regeneration 36
- Ginseng Biological Effects and Applications 7
- Co-authors
- Priyanka VermaArchana MathurAbhishek SharmaSuaib LuqmanKaruna ShankerShamshad A. KhanDhananjay Kumar SinghMadan M. Gupta
- Journals
- PROTOPLASMA (9 papers)Plant Cell Tissue and Organ Culture (PCTOC) (6 papers)Industrial Crops and Products (5 papers)
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Ajay Kumar Mathur
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Biotechnology 190
- Complementary and alternative medicine 151
- Pharmacology 131
- Plant Science 468
- Toxicology 41
Countries citing papers authored by Ajay Kumar Mathur
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2020 | 10 | |
| 4 | 2019 | 30 | |
| 5 | 2018 | 39 | |
| 6 | 2016 | 20 | |
| 7 | 2016 | 24 | |
| 8 | 2015 | 2 | |
| 9 | 2014 | 13 | |
| 10 | 2014 | 20 | |
| 11 | 2012 | 17 | |
| 12 | 2011 | 10 | |
| 13 | 2011 | 83 | |
| 14 | 2011 | 22 | |
| 15 | 2009 | 22 | |
| 16 | 2008 | 40 | |
| 17 | 1999 | 15 | |
| 18 | 1996 | 14 | |
| 19 | 1994 | 31 | |
| 20 | 1986 | 9 |
About Ajay Kumar Mathur
Ajay Kumar Mathur is a scholar working on Complementary and alternative medicine, Biotechnology, Pharmacology, Pharmacology and Molecular Biology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (36 papers), Transgenic Plants and Applications (10 papers), Medicinal Plants and Neuroprotection (8 papers), Ginseng Biological Effects and Applications (7 papers), Berberine and alkaloids research (7 papers), Pharmacological Effects of Natural Compounds (6 papers), GABA and Rice Research (5 papers) and Alkaloids: synthesis and pharmacology (4 papers). The work is most often cited by research in Biotechnology (190 citations), Complementary and alternative medicine (151 citations), Pharmacology (131 citations), Plant Science (468 citations) and Toxicology (41 citations). Ajay Kumar Mathur has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Priyanka Verma, Archana Mathur, Abhishek Sharma, Suaib Luqman, Karuna Shanker, Shamshad A. Khan, Dhananjay Kumar Singh, Madan M. Gupta, Archana Prasad and R.K. Lal. Their work appears in journals such as PROTOPLASMA, Plant Cell Tissue and Organ Culture (PCTOC), Industrial Crops and Products, Physiology and Molecular Biology of Plants and Applied Biochemistry and Biotechnology.
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.