Brandilyn Stigler

769 citations
13 papers · 450 indexed · h-index 8
Topics
Gene Regulatory Network Analysis (11 papers)Microbial Metabolic Engineering and Bioproduction (5 papers)Bioinformatics and Genomic Networks (4 papers)

In The Last Decade

Brandilyn Stigler

12 papers receiving 426 citations

Peers

Brandilyn Stigler
Comparison fields: 5 of 61
  • Molecular Biology 394
  • Computational Theory and Mathematics 93
  • Genetics 51
  • Artificial Intelligence 28
  • Control and Systems Engineering 24
Replace Julio Aracena with:
Julio Aracena Chile
Adrien Richard France
Ion Petre Finland
Adrien Fauré France
Necmettin Yıldırım United States
Jean‐Paul Comet France
Marco Donizelli United Kingdom
Chiara Damiani Italy
Ritwik Kumar Layek India
Jiang B. Liu United States
Brandilyn Stigler relative to Julio Aracena Chile Julio Aracena's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brandilyn Stigler

Since Specialization
Citations

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

Fields of papers citing papers by Brandilyn Stigler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brandilyn Stigler

This figure shows the co-authorship network connecting the top 25 collaborators of Brandilyn Stigler. A scholar is included among the top collaborators of Brandilyn Stigler 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 Brandilyn Stigler. Brandilyn Stigler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 9
3 2
4 1
5 12
6 154
7 23
8 1
9 13
10 20
11 51
12 1
13 163

About Brandilyn Stigler

Brandilyn Stigler is a scholar working on Aging, Computational Theory and Mathematics and Biophysics, having authored 13 papers that have together received 450 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (11 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Computational Theory and Mathematics (93 citations), Molecular Biology (394 citations) and Aging (10 citations). Brandilyn Stigler has collaborated with scholars based in United States, United Arab Emirates and France. Frequent co-authors include Reinhard Laubenbacher, Alan Veliz‐Cuba, Abdul Salam Jarrah, Michael Stillman, Helen Chamberlin, Luis David García Puente, Paola Vera‐Licona, David Murrugarra, Claus Kadelka and Winfried Just. Their work appears in journals such as Bioinformatics, Automatica and Annals of the New York Academy of Sciences.

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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