Maya Kumari

21 papers and 336 indexed citations i.

About

Maya Kumari is a scholar working on Plant Science, Molecular Biology and Global and Planetary Change. According to data from OpenAlex, Maya Kumari has authored 21 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 7 papers in Molecular Biology and 4 papers in Global and Planetary Change. Recurrent topics in Maya Kumari’s work include Plant Stress Responses and Tolerance (5 papers), Seed Germination and Physiology (4 papers) and Wheat and Barley Genetics and Pathology (3 papers). Maya Kumari is often cited by papers focused on Plant Stress Responses and Tolerance (5 papers), Seed Germination and Physiology (4 papers) and Wheat and Barley Genetics and Pathology (3 papers). Maya Kumari collaborates with scholars based in India and Germany. Maya Kumari's co-authors include Arun Kumar Joshi, Zakwan Ahmed, V. P. Singh, Sundeep Kumar, Ramesh Namdeo Pudake, Rajneesh Paliwal, Uttam Kumar, Marion S. Röder, Vikas Yadav Patade and Sanjay Mohan Gupta and has published in prestigious journals such as Scientific Reports, Euphytica and Environmental Geochemistry and Health.

In The Last Decade

Co-authorship network of co-authors of Maya Kumari i

Fields of papers citing papers by Maya Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Maya Kumari

Since Specialization
Citations

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).

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.

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