G B Nair

28 total papers · 662 total citations
20 papers, 448 citations indexed

About

G B Nair is a scholar working on Endocrinology, Infectious Diseases and Food Science. According to data from OpenAlex, G B Nair has authored 20 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, 7 papers in Infectious Diseases and 7 papers in Food Science. Recurrent topics in G B Nair's work include Vibrio bacteria research studies (8 papers), Salmonella and Campylobacter epidemiology (7 papers) and Viral gastroenteritis research and epidemiology (5 papers). G B Nair is often cited by papers focused on Vibrio bacteria research studies (8 papers), Salmonella and Campylobacter epidemiology (7 papers) and Viral gastroenteritis research and epidemiology (5 papers). G B Nair collaborates with scholars based in India, United States and Czechia. G B Nair's co-authors include Sujit Bhattacharya, Prafulla Dutta, Dipika Sur, Thandavarayan Ramamurthy, Tae Takeda, Sangita Pal, D. Sen, Asish K. Mukhopadhyay, Youhei Takeda and P Dutta and has published in prestigious journals such as Journal of Clinical Microbiology, Alimentary Pharmacology & Therapeutics and Transactions of the Royal Society of Tropical Medicine and Hygiene.

In The Last Decade

G B Nair

20 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
G B Nair	193	148	103	94	55	20	448
S.P. De	258 1.3×	150 1.0×	95 0.9×	68 0.7×	46 0.8×	28	449
Ana Prada	188 1.0×	122 0.8×	58 0.6×	86 0.9×	150 2.7×	17	424
M. JOHN ALBERT	161 0.8×	214 1.4×	199 1.9×	72 0.8×	37 0.7×	16	540
D Dutta	210 1.1×	270 1.8×	64 0.6×	119 1.3×	29 0.5×	29	485
Periska Tjaniadi	232 1.2×	288 1.9×	73 0.7×	152 1.6×	55 1.0×	20	544
Mardi Reymann	205 1.1×	254 1.7×	78 0.8×	122 1.3×	28 0.5×	17	502
Jennifer Robinson	185 1.0×	91 0.6×	285 2.8×	119 1.3×	39 0.7×	20	550
Mitsutoshi Senoh	272 1.4×	91 0.6×	132 1.3×	103 1.1×	35 0.6×	31	423
R. C. Rockhill	189 1.0×	200 1.4×	102 1.0×	200 2.1×	26 0.5×	23	548
Frank M. Calia	110 0.6×	137 0.9×	78 0.8×	45 0.5×	26 0.5×	24	547

Countries citing papers authored by G B Nair

Since Specialization

Citations

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

Fields of papers citing papers by G B Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G B Nair

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