Shobha Gopalakrishnan

19 total papers · 610 total citations
13 papers, 483 citations indexed

About

Shobha Gopalakrishnan is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Shobha Gopalakrishnan has authored 13 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Neurology and 3 papers in Oncology. Recurrent topics in Shobha Gopalakrishnan's work include Barrier Structure and Function Studies (7 papers), Connexins and lens biology (5 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Shobha Gopalakrishnan is often cited by papers focused on Barrier Structure and Function Studies (7 papers), Connexins and lens biology (5 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Shobha Gopalakrishnan collaborates with scholars based in United States, India and Canada. Shobha Gopalakrishnan's co-authors include James A. Marrs, Simon J. Atkinson, Amir P. Tamiz, Niranjan B. Pandey, Şefik Ş. Alkan, Janet L. Douglas, Amit Kumar Tripathi, Mark A. Hallett, Margaret P. Quinlan and M P Quinlan and has published in prestigious journals such as Journal of Cell Science, American Journal of Physiology-Cell Physiology and Peptides.

In The Last Decade

Shobha Gopalakrishnan

12 papers receiving 474 citations

Author Peers

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

Author						Papers	Cites
Shobha Gopalakrishnan	250	125	93	90	89	13	483
Reiko Takakuwa	255 1.0×	47 0.4×	16 0.2×	143 1.6×	64 0.7×	9	458
Natsuko Kageyama‐Yahara	218 0.9×	26 0.2×	22 0.2×	31 0.3×	48 0.5×	22	517
Tony Forslund	158 0.6×	18 0.1×	37 0.4×	83 0.9×	69 0.8×	22	487
Eleonora Ferrari	171 0.7×	19 0.2×	34 0.4×	63 0.7×	27 0.3×	19	504
Christian E. Overgaard	214 0.9×	174 1.4×	9 0.1×	34 0.4×	50 0.6×	9	482
Lydia Murray	213 0.9×	22 0.2×	17 0.2×	63 0.7×	55 0.6×	10	441
Kévin Garbin	254 1.0×	24 0.2×	13 0.1×	85 0.9×	100 1.1×	11	491
Inca H. Hundscheid	145 0.6×	18 0.1×	36 0.4×	29 0.3×	150 1.7×	12	445
Alberto Schanaider	113 0.5×	32 0.3×	19 0.2×	27 0.3×	106 1.2×	16	450
Rodney Tatum	260 1.0×	305 2.4×	12 0.1×	23 0.3×	59 0.7×	13	514

Countries citing papers authored by Shobha Gopalakrishnan

Since Specialization

Citations

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

Fields of papers citing papers by Shobha Gopalakrishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shobha Gopalakrishnan

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