Srinivasan Narayanan

41 total papers · 583 total citations
21 papers, 469 citations indexed

About

Srinivasan Narayanan is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Srinivasan Narayanan has authored 21 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 5 papers in Molecular Biology and 5 papers in Developmental Neuroscience. Recurrent topics in Srinivasan Narayanan's work include Cardiac Ischemia and Reperfusion (8 papers), Anesthesia and Neurotoxicity Research (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Srinivasan Narayanan is often cited by papers focused on Cardiac Ischemia and Reperfusion (8 papers), Anesthesia and Neurotoxicity Research (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Srinivasan Narayanan collaborates with scholars based in United States, United Kingdom and India. Srinivasan Narayanan's co-authors include Miguel A. Pérez‐Pinzón, Kunjan R. Dave, John W. Thompson, Isabel Saul, Kahlilia C. Morris-Blanco, Kevin B. Koronowski, Susan D. Roseff, Bruce D. Spiess, David Della‐Morte and R. Anthony DeFazio and has published in prestigious journals such as Blood, PLoS ONE and Stroke.

In The Last Decade

Srinivasan Narayanan

19 papers receiving 466 citations

Author Peers

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

Author						Papers	Cites
Srinivasan Narayanan	179	147	95	67	65	21	469
Shuqun Hu	194 1.1×	190 1.3×	43 0.5×	45 0.7×	84 1.3×	30	532
Anchen Guo	217 1.2×	85 0.6×	42 0.4×	34 0.5×	37 0.6×	22	480
Jiagui Huang	229 1.3×	118 0.8×	29 0.3×	34 0.5×	53 0.8×	17	446
Pingping Yu	268 1.5×	113 0.8×	24 0.3×	48 0.7×	47 0.7×	24	492
Rong Ma	199 1.1×	151 1.0×	26 0.3×	29 0.4×	62 1.0×	20	488
Daniela Buonvicino	233 1.3×	59 0.4×	90 0.9×	18 0.3×	63 1.0×	36	471
Qiong Jiang	196 1.1×	155 1.1×	49 0.5×	42 0.6×	53 0.8×	19	483
Shoulin Chen	158 0.9×	82 0.6×	39 0.4×	67 1.0×	92 1.4×	19	453
Tajinder S. Dhammu	114 0.6×	123 0.8×	71 0.7×	26 0.4×	136 2.1×	16	446
Reiner Schneider	137 0.8×	143 1.0×	50 0.5×	73 1.1×	85 1.3×	24	496

Countries citing papers authored by Srinivasan Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by Srinivasan Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivasan Narayanan

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