ID Genomics (United States)

304 papers and 13.0k indexed citations i.

About

In recent decades, authors affiliated with ID Genomics (United States) have published 304 papers, which have received a total of 13.0k indexed citations. Scholars at this organization have produced 158 papers in Molecular Biology, 75 papers in Genetics and 35 papers in Cancer Research on the topics of CRISPR and Genetic Engineering (29 papers), Cancer Genomics and Diagnostics (21 papers) and RNA Interference and Gene Delivery (18 papers). Their work is cited by papers focused on Molecular Biology (7.0k citations), Genetics (2.9k citations) and Plant Science (1.7k citations). Authors at ID Genomics (United States) collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of ID Genomics (United States)'s most productive authors include Perry B. Hackett, C. Anthony Altar, David A. Largaespada, Cu Nguyen, Michaël Kahn, R. Scott McIvor, Jesse W. Breinholt, Geyi Liu, Aron M. Geurts and James W. Darrow.

In The Last Decade

Fields of papers published by authors at ID Genomics (United States)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with ID Genomics (United States) 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 ID Genomics (United States) at the time of their publication.

Countries citing scholars working at ID Genomics (United States)

Since Specialization

Citations

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

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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