Uma Shankar Singh

339 total papers · 7.5k total citations
218 papers, 5.1k citations indexed

About

Uma Shankar Singh is a scholar working on Plant Science, Epidemiology and Molecular Biology. According to data from OpenAlex, Uma Shankar Singh has authored 218 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Plant Science, 24 papers in Epidemiology and 23 papers in Molecular Biology. Recurrent topics in Uma Shankar Singh's work include Rice Cultivation and Yield Improvement (38 papers), Plant responses to water stress (19 papers) and Plant Disease Resistance and Genetics (17 papers). Uma Shankar Singh is often cited by papers focused on Rice Cultivation and Yield Improvement (38 papers), Plant responses to water stress (19 papers) and Plant Disease Resistance and Genetics (17 papers). Uma Shankar Singh collaborates with scholars based in India, United States and Philippines. Uma Shankar Singh's co-authors include Ishwarlal Jialal, Sridevi Devaraj, Ishwarlal Jialal, Subramaniam Sivakumar, Sudhanshu S. Singh, Abdelbagi M. Ismail, Senthil Kumar Venugopal, Manzoor H. Dar, Jeannette Vásquez‐Vivar and D. J. Mackill and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and American Journal of Clinical Nutrition.

In The Last Decade

Uma Shankar Singh

197 papers receiving 4.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Uma Shankar Singh 1.8k 936 736 443 435 218 5.1k
Muhammad Akram 1.2k 0.7× 2.3k 2.5× 549 0.7× 267 0.6× 447 1.0× 349 7.9k
Qing Zhang 1.5k 0.8× 2.5k 2.7× 582 0.8× 231 0.5× 351 0.8× 236 5.5k
Jingjing Liu 1.7k 1.0× 3.4k 3.6× 410 0.6× 359 0.8× 284 0.7× 393 7.7k
Aristides Tsatsakis 976 0.6× 1.5k 1.6× 357 0.5× 576 1.3× 351 0.8× 134 5.9k
Hongwei Wang 1.9k 1.1× 1.9k 2.0× 264 0.4× 268 0.6× 305 0.7× 275 6.1k
Sha Li 579 0.3× 1.5k 1.6× 712 1.0× 348 0.8× 434 1.0× 249 6.2k
Shumei Wang 1.1k 0.6× 3.0k 3.2× 332 0.5× 304 0.7× 332 0.8× 377 6.9k
Mami Takahashi 649 0.4× 2.4k 2.6× 399 0.5× 462 1.0× 341 0.8× 242 6.6k
Brian F. Meyer 1.8k 1.0× 2.6k 2.8× 203 0.3× 203 0.5× 212 0.5× 160 7.6k
Hyo Jung Kim 1.2k 0.7× 2.2k 2.4× 333 0.5× 205 0.5× 366 0.8× 196 4.6k

Countries citing papers authored by Uma Shankar Singh

Since Specialization
Citations

This map shows the geographic impact of Uma Shankar Singh'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 Uma Shankar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Shankar Singh more than expected).

Fields of papers citing papers by Uma Shankar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uma Shankar Singh. 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 Uma Shankar Singh. The network helps show where Uma Shankar Singh may publish in the future.

Co-authorship network of co-authors of Uma Shankar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Uma Shankar Singh. A scholar is included among the top collaborators of Uma Shankar Singh 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 Uma Shankar Singh. Uma Shankar Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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