Syam Nair

32 total papers · 1.3k total citations
29 papers, 975 citations indexed

About

Syam Nair is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Syam Nair has authored 29 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Pediatrics, Perinatology and Child Health and 6 papers in Epidemiology. Recurrent topics in Syam Nair's work include Neonatal and fetal brain pathology (11 papers), Mitochondrial Function and Pathology (5 papers) and Neonatal Respiratory Health Research (4 papers). Syam Nair is often cited by papers focused on Neonatal and fetal brain pathology (11 papers), Mitochondrial Function and Pathology (5 papers) and Neonatal Respiratory Health Research (4 papers). Syam Nair collaborates with scholars based in Sweden, United Kingdom and France. Syam Nair's co-authors include Henrik Hagberg, Carina Mallard, Claire Thornton, Pierre Gressèns, Bobbi Fleiss, G. K. Rajanikant, Bryan Leaw, Kristina S. Sobotka, Pooja Joshi and Eridan Rocha‐Ferreira and has published in prestigious journals such as Genes & Development, Brain and Scientific Reports.

In The Last Decade

Syam Nair

28 papers receiving 966 citations

Author Peers

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

Author						Papers	Cites
Syam Nair	368	302	261	161	140	29	975
Sergey A. Sosunov	411 1.1×	153 0.5×	173 0.7×	170 1.1×	143 1.0×	31	991
Kai Zhou	324 0.9×	152 0.5×	198 0.8×	123 0.8×	126 0.9×	38	942
Eridan Rocha‐Ferreira	305 0.8×	603 2.0×	200 0.8×	127 0.8×	295 2.1×	39	1.2k
Jerry Flores	353 1.0×	219 0.7×	270 1.0×	149 0.9×	111 0.8×	40	1.0k
Christopher C. Leonardo	291 0.8×	105 0.3×	360 1.4×	155 1.0×	82 0.6×	25	898
Małgorzata Ziemka‐Nałęcz	405 1.1×	203 0.7×	332 1.3×	112 0.7×	73 0.5×	40	1.0k
Gurugirijha Rathnasamy	288 0.8×	134 0.4×	327 1.3×	119 0.7×	57 0.4×	15	843
Mary S. Lange	313 0.9×	529 1.8×	192 0.7×	58 0.4×	176 1.3×	22	1.2k
Beatriz Tone	262 0.7×	191 0.6×	251 1.0×	34 0.2×	104 0.7×	17	796
Zeng-Jin Yang	277 0.8×	206 0.7×	136 0.5×	42 0.3×	75 0.5×	23	828

Countries citing papers authored by Syam Nair

Since Specialization

Citations

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

Fields of papers citing papers by Syam Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Syam Nair

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