G Sugumar

40 total papers · 458 total citations
27 papers, 336 citations indexed

About

G Sugumar is a scholar working on Molecular Biology, Endocrinology and Immunology. According to data from OpenAlex, G Sugumar has authored 27 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Endocrinology and 6 papers in Immunology. Recurrent topics in G Sugumar's work include Vibrio bacteria research studies (6 papers), Aquaculture disease management and microbiota (6 papers) and Nanocomposite Films for Food Packaging (4 papers). G Sugumar is often cited by papers focused on Vibrio bacteria research studies (6 papers), Aquaculture disease management and microbiota (6 papers) and Nanocomposite Films for Food Packaging (4 papers). G Sugumar collaborates with scholars based in India, United Kingdom and Thailand. G Sugumar's co-authors include Toshihiro Nakai, Kiyokuni Muroga, Yuuki Hirata, Indrani Karunasagar, P. Jawahar, D. Sukumar, Muralidharan Nagarajan, Peter J. Reilly, I. Karunasagar and Ann A. Reilley and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Food Microbiology and Environmental Science and Pollution Research.

In The Last Decade

G Sugumar

25 papers receiving 315 citations

Author Peers

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

Author						Papers	Cites
G Sugumar	151	137	77	69	56	27	336
Junpeng Cai	194 1.3×	87 0.6×	80 1.0×	94 1.4×	74 1.3×	27	332
Lise Torkildsen	191 1.3×	91 0.7×	152 2.0×	75 1.1×	93 1.7×	14	350
Kaoru Hamano	196 1.3×	117 0.9×	59 0.8×	74 1.1×	79 1.4×	17	387
Jacinta M. M. Oliveira	101 0.7×	54 0.4×	58 0.8×	49 0.7×	125 2.2×	13	347
Isao Tsutsui	213 1.4×	129 0.9×	39 0.5×	75 1.1×	74 1.3×	16	372
Adeline Bidault	123 0.8×	92 0.7×	101 1.3×	162 2.3×	146 2.6×	22	370
Carolyn Brown	113 0.7×	70 0.5×	133 1.7×	44 0.6×	57 1.0×	21	322
Juntao Jia	139 0.9×	154 1.1×	21 0.3×	112 1.6×	37 0.7×	20	344
Fan Mao	196 1.3×	38 0.3×	87 1.1×	94 1.4×	56 1.0×	41	367
Sunuram Ray	58 0.4×	46 0.3×	79 1.0×	74 1.1×	95 1.7×	21	350

Countries citing papers authored by G Sugumar

Since Specialization

Citations

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

Fields of papers citing papers by G Sugumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Sugumar

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