Sheshadri Narayanan

43 total papers · 577 total citations
24 papers, 402 citations indexed

About

Sheshadri Narayanan is a scholar working on Surgery, Physiology and Genetics. According to data from OpenAlex, Sheshadri Narayanan has authored 24 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Physiology and 4 papers in Genetics. Recurrent topics in Sheshadri Narayanan's work include Clinical Laboratory Practices and Quality Control (4 papers), Alkaline Phosphatase Research Studies (3 papers) and Platelet Disorders and Treatments (3 papers). Sheshadri Narayanan is often cited by papers focused on Clinical Laboratory Practices and Quality Control (4 papers), Alkaline Phosphatase Research Studies (3 papers) and Platelet Disorders and Treatments (3 papers). Sheshadri Narayanan collaborates with scholars based in United States, Germany and Netherlands. Sheshadri Narayanan's co-authors include W Guder, Hermann Wisser, D. Seidel, Naotaka Hamasaki, Amy Chadburn, Ellinor I.B. Peerschke, Ruchika Goel, Jacob H. Rand, Bas de Laat and Ljiljana V. Vasović and has published in prestigious journals such as Blood, Clinical Chemistry and American Journal of Clinical Pathology.

In The Last Decade

Sheshadri Narayanan

22 papers receiving 380 citations

Author Peers

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

Author						Papers	Cites
Sheshadri Narayanan	138	81	79	48	44	24	402
Paul Janson	140 1.0×	46 0.6×	48 0.6×	50 1.0×	58 1.3×	18	404
Valerie Bush	113 0.8×	122 1.5×	49 0.6×	12 0.3×	20 0.5×	22	403
Vasiliki Karlaftis	59 0.4×	53 0.7×	148 1.9×	23 0.5×	85 1.9×	24	434
Aldy W.H.M. Kuypers	146 1.1×	80 1.0×	41 0.5×	86 1.8×	52 1.2×	22	371
Ivana Ćelap	111 0.8×	34 0.4×	24 0.3×	50 1.0×	55 1.3×	39	343
Marjan Van Blerk	58 0.4×	40 0.5×	48 0.6×	27 0.6×	41 0.9×	26	379
Dominika Szőke	74 0.5×	93 1.1×	38 0.5×	21 0.4×	141 3.2×	33	426
Nichole Korpi‐Steiner	112 0.8×	47 0.6×	18 0.2×	17 0.4×	32 0.7×	26	366
Elisabet González-Lao	240 1.7×	44 0.5×	20 0.3×	134 2.8×	61 1.4×	15	410
Saliha Aksun	127 0.9×	49 0.6×	15 0.2×	36 0.8×	31 0.7×	38	348

Countries citing papers authored by Sheshadri Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by Sheshadri Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheshadri Narayanan

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