S. Nadanasabapathi

28 total papers · 589 total citations
23 papers, 452 citations indexed

About

S. Nadanasabapathi is a scholar working on Food Science, Biotechnology and Plant Science. According to data from OpenAlex, S. Nadanasabapathi has authored 23 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Food Science, 8 papers in Biotechnology and 8 papers in Plant Science. Recurrent topics in S. Nadanasabapathi's work include Microbial Inactivation Methods (6 papers), Phytochemicals and Antioxidant Activities (6 papers) and Meat and Animal Product Quality (5 papers). S. Nadanasabapathi is often cited by papers focused on Microbial Inactivation Methods (6 papers), Phytochemicals and Antioxidant Activities (6 papers) and Meat and Animal Product Quality (5 papers). S. Nadanasabapathi collaborates with scholars based in India and China. S. Nadanasabapathi's co-authors include R. Kumar, S. Vijayalakshmi, Selvaraj Barathi, Chinnannan Karthik, P. Indra Arulselvi, A. S. Bawa, J. H. Jagannath, Dhananjay Kumar, Rajesh Kumar and Sunny Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Critical Reviews in Food Science and Nutrition and Journal of Applied Polymer Science.

In The Last Decade

S. Nadanasabapathi

23 papers receiving 442 citations

Author Peers

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

Author Last Decade Papers Cites
S. Nadanasabapathi 183 134 104 74 70 23 452
Chirasmita Panigrahi 209 1.1× 118 0.9× 70 0.7× 96 1.3× 43 0.6× 25 533
Yanti Maslina Mohd Jusoh 238 1.3× 127 0.9× 124 1.2× 96 1.3× 85 1.2× 40 512
Hussein Mostafa 256 1.4× 205 1.5× 49 0.5× 51 0.7× 76 1.1× 28 552
Raquel Ibarz 201 1.1× 132 1.0× 97 0.9× 55 0.7× 133 1.9× 20 438
Višnja Stulić 215 1.2× 89 0.7× 135 1.3× 42 0.6× 100 1.4× 22 438
Lorena Moreno-Vilet 166 0.9× 66 0.5× 119 1.1× 157 2.1× 48 0.7× 17 415
Jean-Pierre Pain 182 1.0× 194 1.4× 118 1.1× 95 1.3× 36 0.5× 12 529
Zhumao Jiang 299 1.6× 260 1.9× 75 0.7× 92 1.2× 72 1.0× 18 540
Samuel B. Pérez-Vega 267 1.5× 91 0.7× 59 0.6× 107 1.4× 72 1.0× 30 547
M. Adília Lemos 182 1.0× 113 0.8× 126 1.2× 55 0.7× 136 1.9× 25 478

Countries citing papers authored by S. Nadanasabapathi

Since Specialization
Citations

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

Fields of papers citing papers by S. Nadanasabapathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Nadanasabapathi

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