Innovative Genomics Institute

940 papers receiving 82.2k citations

Peers

Innovative Genomics Institute
Comparison fields: 5 of 222
  • Business and International Management 3.1k
  • Aging 2.0k
  • Molecular Biology 60.0k
  • Genetics 11.3k
  • Immunology 6.2k
Replace Pacific Biosciences (United States) with:
Pacific Biosciences (United States) United States
Keck Graduate Institute United States
Illumina (United States) United States
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Bio-Rad (United States) United States
Fairchild Semiconductor (United States) United States
Genomics Institute of the Novartis Research Foundation United States
Institute for Molecular Medicine United States
Biocom United States
Molecular Sciences Institute United States
Innovative Genomics Institute relative to Pacific Biosciences (United States) United States Pacific Biosciences (United States)'s profile →
Citations per field
00.5×10×20×30×40×49.2×
Pacific Biosciences (United States) · 1×
Citations per year

Countries citing scholars working at Innovative Genomics Institute

Since Specialization
Citations

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

Fields of papers published by authors at Innovative Genomics Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Innovative Genomics Institute 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 Innovative Genomics Institute at the time of their publication.

About Innovative Genomics Institute

In recent decades, authors affiliated with Innovative Genomics Institute have published 1.0k papers, which have received a total of 87.4k indexed citations . Scholars at this organization have produced 25 papers in Aging, 25 papers in Business and International Management, 739 papers in Molecular Biology, 73 papers in Insect Science and 125 papers in Ecology on the topics of CRISPR and Genetic Engineering (336 papers), RNA and protein synthesis mechanisms (130 papers), Genomics and Phylogenetic Studies (71 papers), Insect symbiosis and bacterial influences (69 papers), Advanced biosensing and bioanalysis techniques (65 papers), Bacteriophages and microbial interactions (62 papers), RNA Interference and Gene Delivery (60 papers) and Microbial Community Ecology and Physiology (55 papers). Their work is cited by papers focused on Business and International Management (3.1k citations), Aging (2.0k citations), Molecular Biology (60.0k citations), Genetics (11.3k citations) and Immunology (6.2k citations). Authors at Innovative Genomics Institute collaborate with scholars in United States, France and China and have published in prestigious journals including Nature Communications, Proceedings of the National Academy of Sciences, Nature, Science and Nature Biotechnology. Some of Innovative Genomics Institute's most productive authors include Jennifer A. Doudna, Nicolas Bray, Lior S. Pachter, Harold Pimentel, Páll Melsted, Michael Levine, Gavin J. Knott, Jillian F. Banfield, Lucas B. Harrington and Janice S. Chen.

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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