Veda P. Pandey
- Biotechnology top 1%
- Biochemical and biochemical processes 4
- Plant Science top 2%
- Enzyme-mediated dye degradation 15
- Analytical Chemistry top 5%
- Pharmacology top 10%
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- Computational Drug Discovery Methods 9
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- Cancer therapeutics and mechanisms 6
- Plant Gene Expression Analysis 4
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- Synthesis and biological activity 5
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- Biofuel production and bioconversion 4
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- Electrochemical sensors and biosensors 3
- Co-authors
- Upendra N. DwivediManika AwasthiPriyanka SinghAnoop KumarSwati SinghNivedita JaiswalSameeksha TiwariAnurag Yadav
- Journals
- Gene (1 paper)International Journal of Biological Macromolecules (3 papers)Journal of the Neurological Sciences (1 paper)
- Partner nations
- IndiaIranUnited Kingdom
In The Last Decade
Veda P. Pandey
43 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Biotechnology 333
- Plant Science 897
- Analytical Chemistry 134
- Complementary and alternative medicine 101
- Pharmacology 163
Countries citing papers authored by Veda P. Pandey
This map shows the geographic impact of Veda P. Pandey'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 Veda P. Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veda P. Pandey more than expected).
Fields of papers citing papers by Veda P. Pandey
This network shows the impact of papers produced by Veda P. Pandey. 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 Veda P. Pandey. The network helps show where Veda P. Pandey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Veda P. Pandey, 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 | 6 | |
| 2 | 2019 | 39 | |
| 3 | 2018 | 18 | |
| 4 | 2017 | 25 | |
| 5 | 2016 | 73 | |
| 6 | 2016 | 111 | |
| 7 | 2016 | 2 | |
| 8 | 2015 | 23 | |
| 9 | 2015 | 7 | |
| 10 | 2014 | 2 | |
| 11 | 2014 | 4 | |
| 12 | 2014 | 62 | |
| 13 | 2014 | 31 | |
| 14 | 2014 | 14 | |
| 15 | 2014 | 7 | |
| 16 | 2013 | 7 | |
| 17 | 2012 | 34 | |
| 18 | 2012 | 10 | |
| 19 | 2011 | 28 | |
| 20 | 2011 | 7 |
About Veda P. Pandey
Veda P. Pandey is a scholar working on Horticulture, Complementary and alternative medicine and Plant Science, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (15 papers), Computational Drug Discovery Methods (9 papers), Cancer therapeutics and mechanisms (6 papers), Synthesis and biological activity (5 papers), Biochemical and biochemical processes (4 papers), Plant Gene Expression Analysis (4 papers), Biofuel production and bioconversion (4 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Biotechnology (333 citations), Plant Science (897 citations) and Analytical Chemistry (134 citations). Veda P. Pandey has collaborated with scholars based in India, Iran and United Kingdom. Frequent co-authors include Upendra N. Dwivedi, Manika Awasthi, Priyanka Singh, Anoop Kumar, Swati Singh, Nivedita Jaiswal, Sameeksha Tiwari, Swati Singh, Anurag Yadav and Kusum Yadav. Their work appears in journals such as Gene, International Journal of Biological Macromolecules and Journal of the Neurological Sciences.
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.