Sujit Shah
Impact in
- Pharmacology top 10%
- Biological and pharmacological studies of plants
- Fungal Biology and Applications
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- Plant Pathogens and Fungal Diseases
Papers in
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- Plant tissue culture and regeneration 6
- Pineapple and bromelain studies 1
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- Plant Growth Enhancement Techniques 1
- Flowering Plant Growth and Cultivation 1
- Banana Cultivation and Research 1
- Co-authors
- Bijaya Pant (8 shared papers)Jyotsna Sharma (4 shared papers)Marc‐André Selosse (1 shared paper)Mukti Ram Paudel (3 shared papers)Bhagwan Narayan Rekadwad (3 shared papers)Shreeti Pradhan (3 shared papers)Yogesh S. Shouche (1 shared paper)Rohit Sharma (2 shared papers)
- Journals
- Plant Signaling & Behavior (2 papers)Phytotaxa (1 paper)BMC Biotechnology (1 paper)Advances in Pharmacological and Pharmaceutical Sciences (1 paper)BMC Microbiology (1 paper)
- Partner nations
- NepalIndiaUnited States
In The Last Decade
Sujit Shah
9 papers receiving 246 citations
Peers
Comparison fields: 5 of 26
- Pharmacology 91
- Cell Biology 75
- Plant Science 168
- Ecology, Evolution, Behavior and Systematics 73
- Molecular Biology 116
Countries citing papers authored by Sujit Shah
This map shows the geographic impact of Sujit Shah'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 Sujit Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujit Shah more than expected).
Fields of papers citing papers by Sujit Shah
This network shows the impact of papers produced by Sujit Shah. 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 Sujit Shah. The network helps show where Sujit Shah may publish in the future.
Co-authors
The 22 scholars most cited alongside Sujit Shah, 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 | 2018 | 88 | |
| 2 | 2020 | 47 | |
| 3 | 2021 | 32 | |
| 4 | 2019 | 28 | |
| 5 | 2022 | 26 | |
| 6 | 2019 | 14 | |
| 7 | 2021 | 10 | |
| 8 | Evaluation of biochemical potential in tomato (Solanum lycopersicum) germplasms. | 2020 | 2 |
| 9 | 2024 | 2 | |
| 10 | 2022 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2024 | 0 |
About Sujit Shah
Sujit Shah is a scholar working on Molecular Biology, Plant Science, Pharmacology, Ecology, Evolution, Behavior and Systematics and Cell Biology, having authored 12 papers that have together received 249 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (6 papers), Biological and pharmacological studies of plants (5 papers), Plant Pathogens and Fungal Diseases (3 papers), Plant and animal studies (3 papers), Plant Growth Enhancement Techniques (1 paper), Pineapple and bromelain studies (1 paper), Flowering Plant Growth and Cultivation (1 paper) and Banana Cultivation and Research (1 paper). The work is most often cited by research in Pharmacology (91 citations), Cell Biology (75 citations), Plant Science (168 citations), Ecology, Evolution, Behavior and Systematics (73 citations) and Molecular Biology (116 citations). Sujit Shah has collaborated with scholars based in Nepal, India and United States. Frequent co-authors include Bijaya Pant, Jyotsna Sharma, Marc‐André Selosse, Mukti Ram Paudel, Bhagwan Narayan Rekadwad, Shreeti Pradhan, Yogesh S. Shouche, Yogesh S. Shouche, Rohit Sharma and Anjana Singh. Their work appears in journals such as Plant Signaling & Behavior, Phytotaxa, BMC Biotechnology, Advances in Pharmacological and Pharmaceutical Sciences and BMC Microbiology.
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.