Maya Kumari
- Plant Science top 5%
- Molecular Biology
- Agronomy and Crop Science top 5%
- Genetics
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Zakwan AhmedArun Kumar JoshiRamesh Namdeo PudakeV. P. SinghRajneesh PaliwalSundeep KumarUttam KumarMarion S. Röder
- Topics
- Plant Stress Responses and Tolerance (5 papers)Seed Germination and Physiology (5 papers)Plant tissue culture and regeneration (4 papers)
In The Last Decade
Maya Kumari
23 papers receiving 455 citations
Peers
Comparison fields: 5 of 47
- Plant Science 433
- Molecular Biology 105
- Agronomy and Crop Science 96
- Genetics 48
- Ecology, Evolution, Behavior and Systematics 41
Countries citing papers authored by Maya Kumari
This map shows the geographic impact of Maya Kumari'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 Maya Kumari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Kumari more than expected).
Fields of papers citing papers by Maya Kumari
This network shows the impact of papers produced by Maya Kumari. 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 Maya Kumari. The network helps show where Maya Kumari may publish in the future.
Co-authorship network of co-authors of Maya Kumari
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Kumari. A scholar is included among the top collaborators of Maya Kumari 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 Maya Kumari. Maya Kumari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 74 | |
| 8 | Biochemical and physiological analysis of zinc tolerance in Jatropha curcas. | 3 |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 43 | |
| 14 | Identification of microsatellite markers associated with staygreen trait in wheat RILs | 1 |
| 15 | 20 | |
| 16 | 64 | |
| 17 | 10 | |
| 18 | Occurrence of vivipary in Capsicum annuum L. cv. California Wonder | 2 |
| 19 | Effect of IBA on seed germination, sprouting and rooting in cuttings for mass propagation of Jatropha curcus L strain DARL-2. | 7 |
| 20 | 96 |
About Maya Kumari
Maya Kumari is a scholar working on Plant Science, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 510 indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (5 papers), Seed Germination and Physiology (5 papers) and Plant tissue culture and regeneration (4 papers). The work is most often cited by research in Plant Science (433 citations), Agronomy and Crop Science (96 citations) and Physiology (15 citations). Maya Kumari has collaborated with scholars based in India, Germany and Egypt. Frequent co-authors include Zakwan Ahmed, Arun Kumar Joshi, Ramesh Namdeo Pudake, V. P. Singh, Rajneesh Paliwal, Sundeep Kumar, Uttam Kumar, Marion S. Röder, Vikas Yadav Patade and Sanjay Mohan Gupta. Their work appears in journals such as Scientific Reports, Euphytica and Environmental Geochemistry and Health.
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.