Lalitha Sunil Kumar

21 total papers · 739 total citations
17 papers, 507 citations indexed

About

Lalitha Sunil Kumar is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Lalitha Sunil Kumar has authored 17 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 9 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Lalitha Sunil Kumar's work include Plant Disease Resistance and Genetics (4 papers), Genetic and Environmental Crop Studies (4 papers) and Date Palm Research Studies (3 papers). Lalitha Sunil Kumar is often cited by papers focused on Plant Disease Resistance and Genetics (4 papers), Genetic and Environmental Crop Studies (4 papers) and Date Palm Research Studies (3 papers). Lalitha Sunil Kumar collaborates with scholars based in India, United States and Philippines. Lalitha Sunil Kumar's co-authors include Nevin D. Young, D. Danesh, D. Menancio-Hautea, Christian Fatokun, N.S. Talekar, P. K. Ranjekar, Vidya S. Gupta, Meenakshi V. Rele, Trupti Sharma and Syed G. Dastager and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biotechnology Advances and Theoretical and Applied Genetics.

In The Last Decade

Lalitha Sunil Kumar

17 papers receiving 434 citations

Author Peers

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

Author Last Decade Papers Cites
Lalitha Sunil Kumar 428 110 109 54 30 17 507
Linda Mondini 452 1.1× 110 1.0× 174 1.6× 46 0.9× 24 0.8× 14 541
Genoveva Rossel 333 0.8× 128 1.2× 102 0.9× 29 0.5× 17 0.6× 14 482
M. S. Negi 316 0.7× 214 1.9× 162 1.5× 40 0.7× 11 0.4× 19 475
K. Chabane 455 1.1× 165 1.5× 238 2.2× 91 1.7× 24 0.8× 13 598
Anupam Dixit 453 1.1× 117 1.1× 140 1.3× 62 1.1× 25 0.8× 20 558
R. A. Vierling 369 0.9× 152 1.4× 95 0.9× 18 0.3× 14 0.5× 22 565
Shiveta Sharma 478 1.1× 146 1.3× 131 1.2× 24 0.4× 15 0.5× 20 524
Jun Fu 318 0.7× 238 2.2× 145 1.3× 27 0.5× 13 0.4× 24 483
H. Zhao 485 1.1× 172 1.6× 65 0.6× 36 0.7× 16 0.5× 22 562
Marie-Christine Quillet 424 1.0× 206 1.9× 107 1.0× 76 1.4× 45 1.5× 17 553

Countries citing papers authored by Lalitha Sunil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Lalitha Sunil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lalitha Sunil Kumar. 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 Lalitha Sunil Kumar. The network helps show where Lalitha Sunil Kumar may publish in the future.

Co-authorship network of co-authors of Lalitha Sunil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Lalitha Sunil Kumar. A scholar is included among the top collaborators of Lalitha Sunil Kumar 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 Lalitha Sunil Kumar. Lalitha Sunil Kumar 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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