Sharrada Subramaniam

10 total papers · 1.1k total citations
5 papers, 397 citations indexed

About

Sharrada Subramaniam is a scholar working on Immunology, Dermatology and Endocrine and Autonomic Systems. According to data from OpenAlex, Sharrada Subramaniam has authored 5 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 1 paper in Dermatology and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Sharrada Subramaniam's work include Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (3 papers) and Sleep and Wakefulness Research (1 paper). Sharrada Subramaniam is often cited by papers focused on Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (3 papers) and Sleep and Wakefulness Research (1 paper). Sharrada Subramaniam collaborates with scholars based in Singapore, United States and France. Sharrada Subramaniam's co-authors include Maria A. Curotto de Lafaille, Juan J. Lafaille, Michael Poidinger, Sriram Narayanan, Wen Qi Ho, Kandhadayar G. Srinivasan, Francesca Zolezzi, Nur Hidayah Hamadee, Josephine Lum and Daniel Carbajo and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Sharrada Subramaniam

5 papers receiving 397 citations

Author Peers

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

Author						Papers	Cites
Sharrada Subramaniam	230	152	131	52	40	5	397
Günther Baravalle	207 0.9×	70 0.5×	57 0.4×	117 2.3×	32 0.8×	8	375
Shigeru Okumura	262 1.1×	209 1.4×	117 0.9×	38 0.7×	17 0.4×	8	365
Georgina J. Swift	256 1.1×	75 0.5×	63 0.5×	45 0.9×	35 0.9×	9	425
Brigitta Köther	277 1.2×	114 0.8×	118 0.9×	89 1.7×	12 0.3×	7	385
Kumiko Fujisawa	159 0.7×	66 0.4×	48 0.4×	62 1.2×	9 0.2×	5	334
Jonathan Hacha	134 0.6×	186 1.2×	82 0.6×	95 1.8×	17 0.4×	8	415
Anna Głobińska	165 0.7×	179 1.2×	208 1.6×	59 1.1×	9 0.2×	8	431
Basak B. Ural	213 0.9×	70 0.5×	38 0.3×	82 1.6×	5 0.1×	8	413
Steven A. Lee	184 0.8×	126 0.8×	71 0.5×	60 1.2×	4 0.1×	7	390
Christy Kam	236 1.0×	83 0.5×	106 0.8×	45 0.9×	6 0.1×	6	372

Countries citing papers authored by Sharrada Subramaniam

Since Specialization

Citations

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

Fields of papers citing papers by Sharrada Subramaniam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharrada Subramaniam

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