Ajit Gupta
Impact in
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- Mycorrhizal Fungi and Plant Interactions
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
Papers in
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- Genomics and Phylogenetic Studies 8
- Machine Learning in Bioinformatics 6
- RNA and protein synthesis mechanisms 5
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- Plant Molecular Biology Research 5
- Plant Stress Responses and Tolerance 3
- Co-authors
- Amar Nath Pandey (2 shared papers)Prabina Kumar Meher (15 shared papers)Ashok Shukla (3 shared papers)O. P. Chaturvedi (2 shared papers)Ranjit Kumar Paul (2 shared papers)Md Yeasin (2 shared papers)Tanmaya Kumar Sahu (3 shared papers)A. K. Paul (1 shared paper)
- Journals
- Agroforestry Systems (3 papers)Functional & Integrative Genomics (2 papers)Briefings in Functional Genomics (2 papers)The Plant Genome (2 papers)AoB Plants (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Ajit Gupta
23 papers receiving 262 citations
Peers
Comparison fields: 5 of 69
- Horticulture 4
- Plant Science 139
- Forestry 11
- Management Science and Operations Research 27
- Ecology 52
Countries citing papers authored by Ajit Gupta
This map shows the geographic impact of Ajit Gupta'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 Ajit Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Gupta more than expected).
Fields of papers citing papers by Ajit Gupta
This network shows the impact of papers produced by Ajit Gupta. 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 Ajit Gupta. The network helps show where Ajit Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajit Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 46 | |
| 2 | 2010 | 43 | |
| 3 | 2008 | 38 | |
| 4 | 2022 | 18 | |
| 5 | 2022 | 16 | |
| 6 | 2010 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2017 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Ajit Gupta
Ajit Gupta is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Management Science and Operations Research, having authored 26 papers that have together received 276 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (6 papers), Plant Molecular Biology Research (5 papers), RNA and protein synthesis mechanisms (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Plant Stress Responses and Tolerance (3 papers), Genetic and phenotypic traits in livestock (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Horticulture (4 citations), Plant Science (139 citations), Forestry (11 citations), Management Science and Operations Research (27 citations) and Ecology (52 citations). Ajit Gupta has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Amar Nath Pandey, Prabina Kumar Meher, Ashok Shukla, O. P. Chaturvedi, Ranjit Kumar Paul, Md Yeasin, Tanmaya Kumar Sahu, A. K. Paul, Rajender Parsad and A. R. Rao. Their work appears in journals such as Agroforestry Systems, Functional & Integrative Genomics, Briefings in Functional Genomics, The Plant Genome and AoB Plants.
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.