J. Suresh Chandra

20 total papers · 420 total citations
15 papers, 297 citations indexed

About

J. Suresh Chandra is a scholar working on Pharmacology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, J. Suresh Chandra has authored 15 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmacology, 7 papers in Psychiatry and Mental health and 3 papers in Molecular Biology. Recurrent topics in J. Suresh Chandra's work include Treatment of Major Depression (9 papers), Electroconvulsive Therapy Studies (6 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). J. Suresh Chandra is often cited by papers focused on Treatment of Major Depression (9 papers), Electroconvulsive Therapy Studies (6 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). J. Suresh Chandra collaborates with scholars based in India, United States and United Kingdom. J. Suresh Chandra's co-authors include Chittaranjan Andrade, Matthew Klein, Roberto Malinow, Sudha Murthy, Nagendra M. Singh, B. V. Venkataraman, Anand Vinekar, Christina K. Kim, Irma Melyani Puspitasari and Sophia Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and Biological Psychiatry.

In The Last Decade

J. Suresh Chandra

15 papers receiving 288 citations

Author Peers

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

Author						Papers	Cites
J. Suresh Chandra	168	107	82	69	46	15	297
Cristiano Chaves	107 0.6×	84 0.8×	77 0.9×	83 1.2×	38 0.8×	19	268
Alexandrine Corriger	136 0.8×	59 0.6×	89 1.1×	76 1.1×	30 0.7×	9	323
Kaija Huuhka	154 0.9×	164 1.5×	102 1.2×	52 0.8×	41 0.9×	15	334
Heikki Laurikainen	122 0.7×	66 0.6×	91 1.1×	68 1.0×	56 1.2×	22	299
Francis Lavergne	153 0.9×	115 1.1×	40 0.5×	52 0.8×	58 1.3×	12	279
Ben H. Amit	202 1.2×	137 1.3×	32 0.4×	133 1.9×	43 0.9×	15	329
Jeremy J. Watts	155 0.9×	58 0.5×	134 1.6×	43 0.6×	64 1.4×	13	296
Michelle Kokkinou	126 0.8×	57 0.5×	165 2.0×	108 1.6×	65 1.4×	11	328
Xiaoyin Ke	111 0.7×	56 0.5×	64 0.8×	108 1.6×	95 2.1×	16	351
Antônio Carlos de Oliveira	130 0.8×	31 0.3×	132 1.6×	48 0.7×	51 1.1×	13	296

Countries citing papers authored by J. Suresh Chandra

Since Specialization

Citations

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

Fields of papers citing papers by J. Suresh Chandra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Suresh Chandra. 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 J. Suresh Chandra. The network helps show where J. Suresh Chandra may publish in the future.

Co-authorship network of co-authors of J. Suresh Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of J. Suresh Chandra. A scholar is included among the top collaborators of J. Suresh Chandra 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 J. Suresh Chandra. J. Suresh Chandra 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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