John A. P. Sekar

494 total citations
8 papers, 261 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 261 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, Justin Hogg, Jonathan R. Karr, Arthur P. Goldberg, Balázs Szigeti, Dipak Barua, Robert P. Sheehan, Ilya Korsunsky, Sanjana Gupta and Leonard A. Harris 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 256 citations

Peers

John A. P. Sekar
Comparison fields: 5 of 54
  • Molecular Biology 213
  • Computational Theory and Mathematics 31
  • Genetics 18
  • Biomedical Engineering 17
  • Biophysics 16
Replace Bryan Kowal with:
Bryan Kowal United States
Pauline Traynard France
Sanjana Gupta United States
Robert P. Sheehan United States
Martin Hopfensitz Germany
Anuradha Lakshminarayana United States
Dominik M. Wittmann Germany
Vincent Knight-Schrijver United Kingdom
Abhishekh Gupta United States
Bastian R. Angermann United States
Bryan Kowal United States View profile →
Citations per field, relative to John A. P. Sekar
John A. P. Sekar · 1×
Citations per year, relative to John A. P. Sekar
John A. P. Sekar · 1×

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

8 of 8 papers shown
# Work Indexed citations
1 1
2
Structured spreadsheets with ObjTables enable data reuse and integration.
1
3 48
4 44
5 7
6 131
7 8
8 21

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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