Shobana Sekar

40 total papers · 843 total citations
15 papers, 467 citations indexed

About

Shobana Sekar is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Shobana Sekar has authored 15 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cancer Research and 4 papers in Physiology. Recurrent topics in Shobana Sekar's work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (6 papers) and Alzheimer's disease research and treatments (4 papers). Shobana Sekar is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (6 papers) and Alzheimer's disease research and treatments (4 papers). Shobana Sekar collaborates with scholars based in United States, United Kingdom and India. Shobana Sekar's co-authors include Winnie S. Liang, Lori Cuyugan, Geidy E. Serrano, Thomas G. Beach, Jonathan Adkins, Eric M. Reiman, David W. Craig, Jessica Aldrich, Ahmet Kurdoglu and Jacquelyn McDonald and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Genome Research.

In The Last Decade

Shobana Sekar

15 papers receiving 463 citations

Author Peers

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

Author Last Decade Papers Cites
Shobana Sekar 293 145 125 115 42 15 467
Carmen Casal 278 0.9× 71 0.5× 98 0.8× 134 1.2× 106 2.5× 17 527
Diede W. M. Broekaart 201 0.7× 101 0.7× 94 0.8× 105 0.9× 123 2.9× 21 456
Nina M. Dräger 293 1.0× 47 0.3× 89 0.7× 113 1.0× 55 1.3× 11 501
Jonathan Adkins 239 0.8× 71 0.5× 78 0.6× 65 0.6× 38 0.9× 18 418
Abhishek Jauhari 347 1.2× 223 1.5× 62 0.5× 55 0.5× 56 1.3× 17 526
Tanisha Singh 353 1.2× 212 1.5× 66 0.5× 53 0.5× 60 1.4× 13 533
Ariel Díaz 222 0.8× 129 0.9× 89 0.7× 53 0.5× 59 1.4× 21 476
Gernot Neumayer 302 1.0× 63 0.4× 47 0.4× 81 0.7× 68 1.6× 13 502
R Bonsi 240 0.8× 179 1.2× 128 1.0× 95 0.8× 38 0.9× 12 452
Sepideh Parsi 259 0.9× 235 1.6× 109 0.9× 56 0.5× 37 0.9× 13 411

Countries citing papers authored by Shobana Sekar

Since Specialization
Citations

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

Fields of papers citing papers by Shobana Sekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shobana Sekar

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