Archana Mathur
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- Medicinal Plants and Neuroprotection 12
- Phytochemicals and Medicinal Plants 5
- Biotechnology top 5%
- Transgenic Plants and Applications 4
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds 5
- Plant Science top 10%
- GABA and Rice Research 6
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- Plant tissue culture and regeneration 22
- Ginseng Biological Effects and Applications 12
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- AI in cancer detection 5
- Co-authors
- Ajay Kumar MathurPriyanka VermaArchana PrasadA. K. MathurTanya BiswasR.K. LalManju SinghAlka Srivastava
- Journals
- Industrial Crops and Products (7 papers)PROTOPLASMA (6 papers)Plant Cell Tissue and Organ Culture (PCTOC) (3 papers)
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
Archana Mathur
58 papers receiving 862 citations
Peers
Comparison fields: 5 of 106
- Complementary and alternative medicine 174
- Biotechnology 104
- Pharmacology 92
- Plant Science 339
- Molecular Biology 556
Countries citing papers authored by Archana Mathur
This map shows the geographic impact of Archana 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 Archana Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Mathur more than expected).
Fields of papers citing papers by Archana Mathur
This network shows the impact of papers produced by Archana 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 Archana Mathur. The network helps show where Archana Mathur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Archana 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 1 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 39 | |
| 12 | 2017 | 46 | |
| 13 | 2016 | 20 | |
| 14 | 2016 | 28 | |
| 15 | 2014 | 13 | |
| 16 | 2011 | 10 | |
| 17 | 2011 | 83 | |
| 18 | 2010 | 17 | |
| 19 | 2009 | 22 | |
| 20 | 2008 | 40 |
About Archana Mathur
Archana Mathur is a scholar working on Complementary and alternative medicine, Instrumentation and Pharmacology, having authored 64 papers that have together received 902 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (22 papers), Medicinal Plants and Neuroprotection (12 papers), Ginseng Biological Effects and Applications (12 papers), GABA and Rice Research (6 papers), Pharmacological Effects of Natural Compounds (5 papers), AI in cancer detection (5 papers), Phytochemicals and Medicinal Plants (5 papers) and Transgenic Plants and Applications (4 papers). The work is most often cited by research in Complementary and alternative medicine (174 citations), Biotechnology (104 citations) and Pharmacology (92 citations). Archana Mathur has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Ajay Kumar Mathur, Priyanka Verma, Archana Prasad, A. K. Mathur, Tanya Biswas, R.K. Lal, Manju Singh, Alka Srivastava, Abhishek Sharma and Snehanshu Saha. Their work appears in journals such as Industrial Crops and Products, PROTOPLASMA, Plant Cell Tissue and Organ Culture (PCTOC), Applied Microbiology and Biotechnology and The European Physical Journal Special Topics.
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.