Biocom

1.8k papers receiving 84.2k citations

Peers

Biocom
Comparison fields: 5 of 239
  • Modeling and Simulation 3.1k
  • Aging 871
  • Molecular Biology 33.6k
  • Linguistics and Language 1.6k
  • Statistical and Nonlinear Physics 4.0k
Replace Chan Zuckerberg Initiative (United States) with:
Chan Zuckerberg Initiative (United States) United States
San Francisco Foundation United States
Torrey Pines Institute For Molecular Studies United States
QB3 United States
Translational Genomics Research Institute United States
San Diego Supercomputer Center United States
Western University of Health Sciences United States
J. Craig Venter Institute United States
La Jolla Bioengineering Institute United States
Fairchild Semiconductor (United States) United States
Biocom relative to Chan Zuckerberg Initiative (United States) United States Chan Zuckerberg Initiative (United States)'s profile →
Citations per field
00.5×50×113.4×
Chan Zuckerberg Initiative (United States) · 1×
Citations per year

Countries citing scholars working at Biocom

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Biocom. 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 papers produced at Biocom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biocom more than expected).

Fields of papers published by authors at Biocom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Biocom at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Biocom at the time of their publication.

About Biocom

In recent decades, authors affiliated with Biocom have published 2.0k papers, which have received a total of 93.4k indexed citations . Scholars at this organization have produced 104 papers in Modeling and Simulation, 17 papers in Aging, 577 papers in Molecular Biology, 42 papers in Endocrinology and 103 papers in Statistical and Nonlinear Physics on the topics of Genomics and Phylogenetic Studies (80 papers), COVID-19 epidemiological studies (78 papers), Complex Network Analysis Techniques (69 papers), Gene Regulatory Network Analysis (54 papers), Opinion Dynamics and Social Influence (49 papers), Phonetics and Phonology Research (49 papers), Bioinformatics and Genomic Networks (48 papers) and Computational Drug Discovery Methods (46 papers). Their work is cited by papers focused on Modeling and Simulation (3.1k citations), Aging (871 citations), Molecular Biology (33.6k citations), Linguistics and Language (1.6k citations) and Statistical and Nonlinear Physics (4.0k citations). Authors at Biocom collaborate with scholars in United States, France and Netherlands and have published in prestigious journals including The Journal of the Acoustical Society of America, PLoS ONE, Proceedings of the National Academy of Sciences, Scientific Reports and RSC Advances. Some of Biocom's most productive authors include John H. Morris, Lars Juhl Jensen, Nadezhda T. Doncheva, James Emil Flege, Marc Barthélemy, Christian von Mering, Damian Szklarczyk, Peer Bork, Milan Simonovic and Stefan Wyder.

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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