Narasimham Upadyayula

8 total papers · 2.1k total citations
5 papers, 445 citations indexed

About

Narasimham Upadyayula is a scholar working on Genetics, Plant Science and Infectious Diseases. According to data from OpenAlex, Narasimham Upadyayula has authored 5 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Plant Science and 0 papers in Infectious Diseases. Recurrent topics in Narasimham Upadyayula's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetics and Plant Breeding (4 papers) and Genetic and phenotypic traits in livestock (2 papers). Narasimham Upadyayula is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetics and Plant Breeding (4 papers) and Genetic and phenotypic traits in livestock (2 papers). Narasimham Upadyayula collaborates with scholars based in United States. Narasimham Upadyayula's co-authors include Torbert Rocheford, Martin Bohn, Edward S. Buckler, Michael D. McMullen, James B. Holland, Sherry Flint-García, Patrick J. Brown, Sean Myles, Feng Tian and Peter J. Bradbury and has published in prestigious journals such as The Plant Journal, PLoS Genetics and Theoretical and Applied Genetics.

In The Last Decade

Narasimham Upadyayula

5 papers receiving 435 citations

Author Peers

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

Author Last Decade Papers Cites
Narasimham Upadyayula 398 356 64 51 9 5 445
Cox Lwaka Tamba 400 1.0× 231 0.6× 54 0.8× 41 0.8× 4 0.4× 7 485
Kristen L. Kump 452 1.1× 311 0.9× 73 1.1× 14 0.3× 5 0.6× 5 495
Minliang Jin 309 0.8× 236 0.7× 126 2.0× 38 0.7× 5 0.6× 8 388
G. Sponza 447 1.1× 260 0.7× 158 2.5× 23 0.5× 7 0.8× 6 491
Stephen J. Szalma 435 1.1× 292 0.8× 87 1.4× 43 0.8× 8 0.9× 8 490
Venkata K. Kishore 376 0.9× 175 0.5× 85 1.3× 29 0.6× 5 0.6× 9 421
Yang Bian 388 1.0× 184 0.5× 122 1.9× 16 0.3× 8 0.9× 10 451
Dejun Yuan 391 1.0× 186 0.5× 156 2.4× 22 0.4× 3 0.3× 6 451
Friedrich Longin 369 0.9× 285 0.8× 33 0.5× 31 0.6× 4 0.4× 13 416
Laura E. Tibbs‐Cortes 329 0.8× 218 0.6× 74 1.2× 34 0.7× 5 0.6× 12 427

Countries citing papers authored by Narasimham Upadyayula

Since Specialization
Citations

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

Fields of papers citing papers by Narasimham Upadyayula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narasimham Upadyayula. 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 Narasimham Upadyayula. The network helps show where Narasimham Upadyayula may publish in the future.

Co-authorship network of co-authors of Narasimham Upadyayula

This figure shows the co-authorship network connecting the top 25 collaborators of Narasimham Upadyayula. A scholar is included among the top collaborators of Narasimham Upadyayula 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 Narasimham Upadyayula. Narasimham Upadyayula 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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