Parimalan Rangan

110 total papers · 1.2k total citations
50 papers, 696 citations indexed

About

Parimalan Rangan is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Parimalan Rangan has authored 50 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 20 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Parimalan Rangan's work include Plant tissue culture and regeneration (11 papers), Wheat and Barley Genetics and Pathology (8 papers) and Sesame and Sesamin Research (8 papers). Parimalan Rangan is often cited by papers focused on Plant tissue culture and regeneration (11 papers), Wheat and Barley Genetics and Pathology (8 papers) and Sesame and Sesamin Research (8 papers). Parimalan Rangan collaborates with scholars based in India, Australia and United States. Parimalan Rangan's co-authors include Agnelo Furtado, Robert J Henry, P. Giridhar, G. A. Ravishankar, S. Rajkumar, Rakesh Singh, Rajesh Kumar, Amit Kumar Singh, Kuldeep Singh and Ratna Kumari and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Parimalan Rangan

46 papers receiving 665 citations

Author Peers

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

Author Last Decade Papers Cites
Parimalan Rangan 554 295 74 64 57 50 696
Min Sun 472 0.9× 239 0.8× 128 1.7× 54 0.8× 41 0.7× 57 753
Aifen Tao 404 0.7× 261 0.9× 106 1.4× 83 1.3× 52 0.9× 58 635
Brandon Tonnis 424 0.8× 197 0.7× 44 0.6× 73 1.1× 30 0.5× 37 670
Hyang-Mi Park 554 1.0× 266 0.9× 37 0.5× 85 1.3× 25 0.4× 62 736
Sanjay Mohan Gupta 416 0.8× 191 0.6× 71 1.0× 43 0.7× 32 0.6× 40 613
T. E. Sheeja 368 0.7× 288 1.0× 100 1.4× 67 1.0× 31 0.5× 45 710
Babak Abdollahi Mandoulakani 578 1.0× 247 0.8× 99 1.3× 103 1.6× 20 0.4× 66 757
Adel A. Rezk 498 0.9× 186 0.6× 67 0.9× 31 0.5× 21 0.4× 60 793
Raffaella Petruccelli 446 0.8× 194 0.7× 107 1.4× 49 0.8× 20 0.4× 42 660
Nan Lu 377 0.7× 366 1.2× 43 0.6× 52 0.8× 31 0.5× 55 665

Countries citing papers authored by Parimalan Rangan

Since Specialization
Citations

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

Fields of papers citing papers by Parimalan Rangan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parimalan Rangan

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