K. C. Bansal
- Plant Science top 0.5%
- Molecular Biology top 5%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Biotechnology top 5%
- Co-authors
- Viswanathan ChinnusamySangram K. LenkaAmit KatiyarShuchi SmitaMonika DalalRavi RajwanshiAjay SinghSenthilkumar Muthusamy
- Topics
- Plant tissue culture and regeneration (21 papers)Plant Stress Responses and Tolerance (17 papers)Plant Molecular Biology Research (16 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
K. C. Bansal
95 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Plant Science 3.0k
- Molecular Biology 1.9k
- Genetics 381
- Ecology, Evolution, Behavior and Systematics 192
- Biotechnology 188
Countries citing papers authored by K. C. Bansal
This map shows the geographic impact of K. C. Bansal'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 K. C. Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. C. Bansal more than expected).
Fields of papers citing papers by K. C. Bansal
This network shows the impact of papers produced by K. C. Bansal. 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 K. C. Bansal. The network helps show where K. C. Bansal may publish in the future.
Co-authorship network of co-authors of K. C. Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of K. C. Bansal. A scholar is included among the top collaborators of K. C. Bansal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. C. Bansal. K. C. Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 37 | |
| 4 | 110 | |
| 5 | 36 | |
| 6 | 76 | |
| 7 | 35 | |
| 8 | 78 | |
| 9 | 70 | |
| 10 | 70 | |
| 11 | 74 | |
| 12 | 45 | |
| 13 | 218 | |
| 14 | 52 | |
| 15 | 19 | |
| 16 | Identification of differentially expressed ripening-related cDNA clones from tomato (Lycopersicon esculentum) using tomato EST array | 3 |
| 17 | 9 | |
| 18 | Nitrogen in relation to leaf area development and photosynthesis | 14 |
| 19 | Growth and distribution of dry matter in a heat tolerant and a susceptible potato cultivar under normal and high temperature. | 13 |
| 20 | Short term water stress induced changes in stomatal conductance, water saturation deficit and specific leaf weight of three potato (Solanum tuberosum L.) cultivars | 1 |
About K. C. Bansal
K. C. Bansal is a scholar working on Plant Science, Biochemistry and Biotechnology, having authored 97 papers that have together received 3.7k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (21 papers), Plant Stress Responses and Tolerance (17 papers) and Plant Molecular Biology Research (16 papers). The work is most often cited by research in Plant Science (3.0k citations), Molecular Biology (1.9k citations) and Horticulture (25 citations). K. C. Bansal has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Viswanathan Chinnusamy, Sangram K. Lenka, Amit Katiyar, Shuchi Smita, Monika Dalal, Ravi Rajwanshi, Ajay Singh, Senthilkumar Muthusamy, Kutubuddin A. Molla and Simon Sretenovic. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.
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.