Sarada Subramanian

53 total papers · 670 total citations
34 papers, 527 citations indexed

About

Sarada Subramanian is a scholar working on Physiology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Sarada Subramanian has authored 34 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 13 papers in Molecular Biology and 8 papers in Psychiatry and Mental health. Recurrent topics in Sarada Subramanian's work include Alzheimer's disease research and treatments (13 papers), Dementia and Cognitive Impairment Research (7 papers) and RNA and protein synthesis mechanisms (5 papers). Sarada Subramanian is often cited by papers focused on Alzheimer's disease research and treatments (13 papers), Dementia and Cognitive Impairment Research (7 papers) and RNA and protein synthesis mechanisms (5 papers). Sarada Subramanian collaborates with scholars based in India. Sarada Subramanian's co-authors include Bindu M. Kutty, P. Radhakantha Adiga, Mathew John, Palanimuthu Thangaraju Sivakumar, Anjali A. Karande, Mathew Varghese, Anita Mahadevan, Preetha Balasubramanian, Mariamma Philip and Nithya Subramanian and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Archives of Biochemistry and Biophysics.

In The Last Decade

Sarada Subramanian

32 papers receiving 504 citations

Author Peers

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

Author						Papers	Cites
Sarada Subramanian	151	144	123	112	89	34	527
Monika Pahuja	123 0.8×	220 1.5×	112 0.9×	127 1.1×	112 1.3×	23	579
Soo-Hyun Park	154 1.0×	76 0.5×	81 0.7×	189 1.7×	76 0.9×	39	568
Paula Alexandra Postu	92 0.6×	171 1.2×	116 0.9×	105 0.9×	96 1.1×	15	486
Umesh Chandra Dash	98 0.6×	79 0.5×	127 1.0×	175 1.6×	62 0.7×	14	579
Salma A. El‐Marasy	72 0.5×	85 0.6×	96 0.8×	110 1.0×	62 0.7×	29	550
Peter Mouatt	66 0.4×	90 0.6×	62 0.5×	123 1.1×	96 1.1×	24	518
Juliana Sorraila de Oliveira	67 0.4×	67 0.5×	108 0.9×	119 1.1×	91 1.0×	31	488
Jungbin Song	61 0.4×	92 0.6×	70 0.6×	156 1.4×	78 0.9×	34	473
Yajing Su	249 1.6×	97 0.7×	123 1.0×	178 1.6×	80 0.9×	16	573
Yuanxiao Yang	81 0.5×	125 0.9×	68 0.6×	204 1.8×	119 1.3×	42	541

Countries citing papers authored by Sarada Subramanian

Since Specialization

Citations

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

Fields of papers citing papers by Sarada Subramanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarada Subramanian

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