N Subramanian

30 total papers · 401 total citations
16 papers, 136 citations indexed

About

N Subramanian is a scholar working on Surgery, Physiology and Epidemiology. According to data from OpenAlex, N Subramanian has authored 16 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Physiology and 3 papers in Epidemiology. Recurrent topics in N Subramanian's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). N Subramanian is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). N Subramanian collaborates with scholars based in Sweden, Denmark and India. N Subramanian's co-authors include Jurga Laurencikiene, Beatriz Tavira, W Domschke, Peter Arner, S Domschke, P. Mitznegg, E Wünsch, Erez Dror, Ingrid Wernstedt Asterholm and Anders Juul and has published in prestigious journals such as Nature Communications, Endocrinology and Frontiers in Endocrinology.

In The Last Decade

N Subramanian

15 papers receiving 124 citations

Author Peers

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

Author						Papers	Cites
N Subramanian	38	21	19	17	16	16	136
Ying Hao	32 0.8×	17 0.8×	12 0.6×	14 0.8×	49 3.1×	20	238
June Brand	22 0.6×	7 0.3×	36 1.9×	26 1.5×	23 1.4×	13	195
Greta Pellegrino	24 0.6×	13 0.6×	15 0.8×	46 2.7×	12 0.8×	28	165
Luca Mancinelli	15 0.4×	28 1.3×	6 0.3×	15 0.9×	8 0.5×	14	212
Ana Paula Aquistapase Dagnino	50 1.3×	21 1.0×	9 0.5×	47 2.8×	32 2.0×	15	220
Zhuo-Ying Tao	108 2.8×	19 0.9×	14 0.7×	8 0.5×	24 1.5×	15	224
Sema Bilgiç Gazioğlu	16 0.4×	15 0.7×	6 0.3×	22 1.3×	32 2.0×	15	226
Jasvinder Chawla	25 0.7×	23 1.1×	21 1.1×	4 0.2×	44 2.8×	10	208
M Skogh	20 0.5×	15 0.7×	20 1.1×	8 0.5×	23 1.4×	18	247
L. Amadio	28 0.7×	15 0.7×	4 0.2×	11 0.6×	27 1.7×	16	257

Countries citing papers authored by N Subramanian

Since Specialization

Citations

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

Fields of papers citing papers by N Subramanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N Subramanian

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