Rakesh Nair

60 total papers · 733 total citations
19 papers, 534 citations indexed

About

Rakesh Nair is a scholar working on Plant Science, Biotechnology and Molecular Biology. According to data from OpenAlex, Rakesh Nair has authored 19 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Biotechnology and 5 papers in Molecular Biology. Recurrent topics in Rakesh Nair's work include Enzyme-mediated dye degradation (9 papers), Nanocomposite Films for Food Packaging (4 papers) and biodegradable polymer synthesis and properties (4 papers). Rakesh Nair is often cited by papers focused on Enzyme-mediated dye degradation (9 papers), Nanocomposite Films for Food Packaging (4 papers) and biodegradable polymer synthesis and properties (4 papers). Rakesh Nair collaborates with scholars based in Belgium, Italy and Canada. Rakesh Nair's co-authors include Spiros N. Agathos, Philippe Demarche, Charles Junghanns, Niina Halonen, Krisztián Kordás, Giorgia Spigno, Andrea Bassani, Tajalli Keshavarz, Ipsita Roy and Carlos E. Hernández-Luna and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Biotechnology Advances.

In The Last Decade

Rakesh Nair

19 papers receiving 517 citations

Author Peers

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

Author						Papers	Cites
Rakesh Nair	208	144	132	108	104	19	534
Jorge Gracida	98 0.5×	137 1.0×	193 1.5×	188 1.7×	156 1.5×	35	612
Ian R. Hardin	183 0.9×	65 0.5×	80 0.6×	24 0.2×	70 0.7×	21	549
Amanda Fillat	314 1.5×	35 0.2×	136 1.0×	90 0.8×	166 1.6×	14	499
Anupreet Kaur	72 0.3×	46 0.3×	37 0.3×	118 1.1×	159 1.5×	27	499
Ana Rita Ferreira	79 0.4×	80 0.6×	240 1.8×	51 0.5×	92 0.9×	28	574
A. Ganesh Kumar	123 0.6×	106 0.7×	86 0.7×	258 2.4×	106 1.0×	23	560
Zuzana Rybková	69 0.3×	90 0.6×	133 1.0×	60 0.6×	114 1.1×	20	560
Youri Yang	94 0.5×	355 2.5×	200 1.5×	51 0.5×	107 1.0×	19	577
Stefan Liebminger	179 0.9×	224 1.6×	213 1.6×	155 1.4×	79 0.8×	12	573
Zhe Liu	73 0.4×	68 0.5×	49 0.4×	86 0.8×	65 0.6×	26	503

Countries citing papers authored by Rakesh Nair

Since Specialization

Citations

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

Fields of papers citing papers by Rakesh Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Nair

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