Arpit Shukla
Impact in
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- Computational Drug Discovery Methods
- Pollution top 10%
- Microplastics and Plastic Pollution
Papers in
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- Bacterial biofilms and quorum sensing 8
- bioluminescence and chemiluminescence research 3
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- Plant-Microbe Interactions and Immunity 6
- Legume Nitrogen Fixing Symbiosis 4
- Polysaccharides and Plant Cell Walls 3
- Co-authors
- Meenu Saraf (27 shared papers)Paritosh Parmar (23 shared papers)Dweipayan Goswami (20 shared papers)Baldev Patel (14 shared papers)Priyashi Rao (6 shared papers)K D Mehta (6 shared papers)Rakesh Rawal (4 shared papers)Anushree Kamath (6 shared papers)
In The Last Decade
Arpit Shukla
40 papers receiving 792 citations
Peers
Comparison fields: 5 of 104
- Computational Theory and Mathematics 126
- Pollution 90
- Molecular Medicine 37
- Biotechnology 46
- Radiological and Ultrasound Technology 25
Countries citing papers authored by Arpit Shukla
This map shows the geographic impact of Arpit Shukla'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 Arpit Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpit Shukla more than expected).
Fields of papers citing papers by Arpit Shukla
This network shows the impact of papers produced by Arpit Shukla. 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 Arpit Shukla. The network helps show where Arpit Shukla may publish in the future.
Co-authors
The 25 scholars most cited alongside Arpit Shukla, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 74 | |
| 2 | 2019 | 70 | |
| 3 | 2020 | 65 | |
| 4 | 2020 | 35 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 33 | |
| 7 | 2020 | 32 | |
| 8 | 2021 | 29 | |
| 9 | 2020 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 26 | |
| 12 | 2021 | 24 | |
| 13 | 2021 | 24 | |
| 14 | 2020 | 24 | |
| 15 | 2020 | 22 | |
| 16 | 2021 | 21 | |
| 17 | 2022 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2022 | 19 | |
| 20 | 2021 | 18 |
About Arpit Shukla
Arpit Shukla is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Pollution and Food Science, having authored 42 papers that have together received 808 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (8 papers), Plant-Microbe Interactions and Immunity (6 papers), Computational Drug Discovery Methods (4 papers), Microbial Metabolites in Food Biotechnology (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers), Radioactivity and Radon Measurements (3 papers), Polysaccharides and Plant Cell Walls (3 papers) and bioluminescence and chemiluminescence research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (126 citations), Pollution (90 citations), Molecular Medicine (37 citations), Biotechnology (46 citations) and Radiological and Ultrasound Technology (25 citations). Arpit Shukla has collaborated with scholars based in India, Ireland and Hong Kong. Frequent co-authors include Meenu Saraf, Paritosh Parmar, Dweipayan Goswami, Baldev Patel, Priyashi Rao, K D Mehta, Rakesh Rawal, Anushree Kamath, Dhara Patel and Jignesh H. Parmar. Their work appears in journals such as Molecular Diversity, Physiological and Molecular Plant Pathology, Scientific Reports, Journal of Polymers and the Environment and Microbiological Research.
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.