Translational Genomics Research Institute

114.0k citations
2.7k 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

2.6k papers receiving 113.5k citations

Peers

Translational Genomics Research Institute
Comparison fields: 5 of 230
  • Cancer Research 17.2k
  • Molecular Biology 55.6k
  • Oncology 18.3k
  • Genetics 15.6k
  • Molecular Medicine 2.6k
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Translational Genomics Research Institute relative to Torrey Pines Institute For Molecular Studies United States Torrey Pines Institute For Molecular Studies's profile →
Citations per field
00.5×2.7×
Torrey Pines Institute For Molecular Studies · 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 2.7k papers, which have received a total of 114.0k indexed citations . Scholars at this organization have produced 457 papers in Cancer Research, 542 papers in Oncology, 1.3k papers in Molecular Biology, 162 papers in Hematology and 399 papers in Genetics on the topics of Cancer Genomics and Diagnostics (218 papers), Pancreatic and Hepatic Oncology Research (168 papers), Bioinformatics and Genomic Networks (153 papers), Multiple Myeloma Research and Treatments (134 papers), Gene expression and cancer classification (131 papers), Gene Regulatory Network Analysis (126 papers), Alzheimer's disease research and treatments (120 papers) and Genetic Associations and Epidemiology (115 papers). Their work is cited by papers focused on Cancer Research (17.2k citations), Molecular Biology (55.6k citations), Oncology (18.3k citations), Genetics (15.6k citations) and Molecular Medicine (2.6k 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 Alzheimer s & Dementia. Some of Translational Genomics Research Institute's most productive authors include Daniel D. Von Hoff, Michael E. Berens, Edward R. Dougherty, Nicholas J. Schork, Eric M. Reiman, Johanna K. DiStefano, Paul Keim, Haiyong Han, Matthew J. Huentelman and David W. Craig.

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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