John A. P. Sekar

24 total papers · 487 total citations
8 papers, 257 citations indexed

About

John A. P. Sekar is a scholar working on Molecular Biology, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, John A. P. Sekar has authored 8 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Management Science and Operations Research. Recurrent topics in John A. P. Sekar's work include Gene Regulatory Network Analysis (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Computational Drug Discovery Methods (2 papers). John A. P. Sekar is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Computational Drug Discovery Methods (2 papers). John A. P. Sekar collaborates with scholars based in United States. John A. P. Sekar's co-authors include James R. Faeder, Balázs Szigeti, Jonathan R. Karr, Arthur P. Goldberg, Justin Hogg, Leonard A. Harris, Arshi Arora, Sanjana Gupta, Ilya Korsunsky and Dipak Barua and has published in prestigious journals such as Bioinformatics, Current Opinion in Biotechnology and PLoS Computational Biology.

In The Last Decade

John A. P. Sekar

8 papers receiving 252 citations

Author Peers

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

Author						Papers	Cites
John A. P. Sekar	212	30	17	17	15	8	257
Bryan Kowal	206 1.0×	47 1.6×	14 0.8×	15 0.9×	16 1.1×	6	245
Lily A. Chylek	217 1.0×	25 0.8×	21 1.2×	8 0.5×	24 1.6×	12	267
Sanjana Gupta	166 0.8×	21 0.7×	9 0.5×	10 0.6×	27 1.8×	10	246
Anuradha Lakshminarayana	200 0.9×	16 0.5×	56 3.3×	12 0.7×	18 1.2×	8	317
Duncan Bérenguier	158 0.7×	22 0.7×	12 0.7×	6 0.4×	5 0.3×	5	181
Meik Bittkowski	267 1.3×	32 1.1×	13 0.8×	28 1.6×	4 0.3×	5	304
Dominik M. Wittmann	255 1.2×	58 1.9×	31 1.8×	12 0.7×	11 0.7×	10	310
Anna Hendrika Cornelia Vlot	193 0.9×	39 1.3×	7 0.4×	15 0.9×	13 0.9×	7	290
Vincent Knight-Schrijver	237 1.1×	43 1.4×	11 0.6×	33 1.9×	15 1.0×	9	321
Leonard Schmiester	166 0.8×	30 1.0×	14 0.8×	28 1.6×	14 0.9×	12	224

Countries citing papers authored by John A. P. Sekar

Since Specialization

Citations

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

Fields of papers citing papers by John A. P. Sekar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. P. Sekar

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