Jayakrishnan Nair

28 total papers · 465 total citations
13 papers, 295 citations indexed

About

Jayakrishnan Nair is a scholar working on Endocrine and Autonomic Systems, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jayakrishnan Nair has authored 13 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrine and Autonomic Systems, 4 papers in Pathology and Forensic Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jayakrishnan Nair's work include Neuroscience of respiration and sleep (8 papers), Spinal Cord Injury Research (4 papers) and Neonatal and fetal brain pathology (3 papers). Jayakrishnan Nair is often cited by papers focused on Neuroscience of respiration and sleep (8 papers), Spinal Cord Injury Research (4 papers) and Neonatal and fetal brain pathology (3 papers). Jayakrishnan Nair collaborates with scholars based in United States, Switzerland and United Kingdom. Jayakrishnan Nair's co-authors include Gregor Rainer, Emily J. Fox, David D. Fuller, Michael Harvey, Alexei L. Vyssotski, Gordon S. Mitchell, Alicia K. Vose, Nathalie Clément, Randy D. Trumbower and Manuela Corti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Journal of Neurophysiology.

In The Last Decade

Jayakrishnan Nair

12 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
Jayakrishnan Nair	105	98	57	53	51	13	295
E. Kanzow	170 1.6×	96 1.0×	61 1.1×	62 1.2×	38 0.7×	18	340
Jodi B. Dickstein	76 0.7×	57 0.6×	11 0.2×	28 0.5×	39 0.8×	11	308
Ning Wang	210 2.0×	55 0.6×	27 0.5×	61 1.2×	95 1.9×	17	347
Yonglie Ma	165 1.6×	73 0.7×	36 0.6×	78 1.5×	25 0.5×	14	361
John P. Clark	60 0.6×	34 0.3×	94 1.6×	34 0.6×	29 0.6×	15	357
Karlo Toljan	50 0.5×	38 0.4×	34 0.6×	20 0.4×	73 1.4×	23	326
Franco Lioy	159 1.5×	28 0.3×	38 0.7×	41 0.8×	36 0.7×	23	313
Justine Renault	44 0.4×	39 0.4×	34 0.6×	30 0.6×	55 1.1×	15	339
Nida Taşçılar	35 0.3×	32 0.3×	22 0.4×	38 0.7×	79 1.5×	21	358
Bogachan Sahin	41 0.4×	85 0.9×	74 1.3×	18 0.3×	16 0.3×	23	317

Countries citing papers authored by Jayakrishnan Nair

Since Specialization

Citations

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

Fields of papers citing papers by Jayakrishnan Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayakrishnan Nair

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