Keya Mukherjee
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Soybean genetics and cultivation
-
- Plant Reproductive Biology
- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
- Plant tissue culture and regeneration
Papers in
- Co-authors
- Thomas R. Bürglin (1 shared paper)Luciano Brocchieri (1 shared paper)Vittorio Fattori (4 shared papers)Frank M. Raushel (3 shared papers)Tamari Narindoshvili (2 shared papers)Akshay Talukdar (3 shared papers)Anil Kumar (2 shared papers)Sanjay Kumar Lal (1 shared paper)
- Journals
- Biochemistry (3 papers)Current Science (2 papers)Comprehensive Reviews in Food Science and Food Safety (2 papers)Online Learning (1 paper)BMC Genetics (1 paper)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Keya Mukherjee
28 papers receiving 560 citations
Peers
Comparison fields: 5 of 81
- Plant Science 361
- Molecular Biology 298
- Horticulture 4
- Biotechnology 23
- Biomaterials 25
Countries citing papers authored by Keya Mukherjee
This map shows the geographic impact of Keya Mukherjee'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 Keya Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keya Mukherjee more than expected).
Fields of papers citing papers by Keya Mukherjee
This network shows the impact of papers produced by Keya Mukherjee. 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 Keya Mukherjee. The network helps show where Keya Mukherjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Keya Mukherjee, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 364 | |
| 2 | 2024 | 34 | |
| 3 | 2016 | 34 | |
| 4 | 2018 | 27 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 19 | |
| 7 | 1995 | 9 | |
| 8 | 1997 | 8 | |
| 9 | 1984 | 7 | |
| 10 | 2019 | 5 | |
| 11 | edible alga of Manipur (Lemanea australis): Presence o f silver | 1974 | 4 |
| 12 | 2014 | 4 | |
| 13 | Relationship between Grades Earned and Time in Online Courses. | 2017 | 4 |
| 14 | 1967 | 4 | |
| 15 | 2013 | 4 | |
| 16 | 2013 | 4 | |
| 17 | 1966 | 4 | |
| 18 | Genomic variation studies in Glycine max and Glycine soja using SSR Markers | 2015 | 3 |
| 19 | 1966 | 3 | |
| 20 | 1996 | 2 |
About Keya Mukherjee
Keya Mukherjee is a scholar working on Molecular Biology, Plant Science, Food Science, Organic Chemistry and Pharmacology, having authored 30 papers that have together received 576 indexed citations. Recurring topics across this work include Synthesis of Organic Compounds (4 papers), Online and Blended Learning (2 papers), Food Waste Reduction and Sustainability (2 papers), Metal Extraction and Bioleaching (2 papers), Enzyme Structure and Function (2 papers), Synthesis and Reactions of Organic Compounds (2 papers), Corrosion Behavior and Inhibition (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Plant Science (361 citations), Molecular Biology (298 citations), Horticulture (4 citations), Biotechnology (23 citations) and Biomaterials (25 citations). Keya Mukherjee has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Thomas R. Bürglin, Luciano Brocchieri, Vittorio Fattori, Frank M. Raushel, Tamari Narindoshvili, Akshay Talukdar, Anil Kumar, Sanjay Kumar Lal, Jossie A. Garthoff and M. Shivakumar. Their work appears in journals such as Biochemistry, Current Science, Comprehensive Reviews in Food Science and Food Safety, Online Learning and BMC Genetics.
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.