Translational Genomics Research Institute

118.5k citations
2.8k papers ·

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • Bioinformatics and Genomic Networks

Papers in

Translational Genomics Research Institute

2.5k papers receiving 104.2k citations

Peers

Translational Genomics Research Institute
Comparison fields: 5 of 230
  • Cancer Research 15.2k
  • Molecular Biology 50.7k
  • Oncology 16.0k
  • Molecular Medicine 2.5k
  • Genetics 13.7k
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Translational Genomics Research Institute relative to La Jolla Bioengineering Institute United States La Jolla Bioengineering Institute's profile →
Citations per field
00.5×1.5×1.8×
La Jolla Bioengineering Institute · 1×
Citations per year

Countries citing scholars working at Translational Genomics Research Institute

Since Specialization
Citations

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

Fields of papers published by authors at Translational Genomics Research Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About Translational Genomics Research Institute

In recent decades, authors affiliated with Translational Genomics Research Institute have published 2.8k papers, which have received a total of 118.5k indexed citations . Scholars at this organization have produced 382 papers in Cancer Research, 450 papers in Oncology, 1.2k papers in Molecular Biology, 159 papers in Hematology and 333 papers in Genetics on the topics of Cancer Genomics and Diagnostics (186 papers), Pancreatic and Hepatic Oncology Research (143 papers), Multiple Myeloma Research and Treatments (131 papers), Bioinformatics and Genomic Networks (123 papers), Gene Regulatory Network Analysis (122 papers), Gene expression and cancer classification (112 papers), Alzheimer's disease research and treatments (91 papers) and Genetic Associations and Epidemiology (90 papers). Their work is cited by papers focused on Cancer Research (15.2k citations), Molecular Biology (50.7k citations), Oncology (16.0k citations), Molecular Medicine (2.5k citations) and Genetics (13.7k citations). Authors at Translational Genomics Research Institute collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Journal of Clinical Oncology, Cancer Research, PLoS ONE, Blood and Molecular Cancer Therapeutics. Some of Translational Genomics Research Institute's most productive authors include Daniel D. Von Hoff, Michael E. Berens, Nicholas J. Schork, Edward R. Dougherty, Eric M. Reiman, Johanna K. DiStefano, Paul Keim, Haiyong Han, David W. Craig and Matthew J. Huentelman.

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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