Physiological Genomics

2.4k papers and 91.2k indexed citations

About

The 2.4k papers published in Physiological Genomics in the last decades have received a total of 91.2k indexed citations. Papers published in Physiological Genomics usually cover Molecular Biology (1.3k papers), Genetics (547 papers) and Physiology (487 papers) specifically the topics of Adipose Tissue and Metabolism (344 papers), Genetic Mapping and Diversity in Plants and Animals (143 papers) and MicroRNA in disease regulation (131 papers). The most active scholars publishing in Physiological Genomics are Mingyu Liang, Massimo Bionaz, Juan J. Loor, Isaac Edery, Robin L. Davisson, Lauren G. Koch, Steven L. Britton, Qin M. Chen, Anthony Maltagliati and Alison J. Kriegel.

In The Last Decade

Physiological Genomics

2.3k papers receiving 89.5k citations

Peers

Physiological Genomics
Comparison fields: 5 of 209
  • Molecular Biology 43.7k
  • Physiology 16.3k
  • Genetics 14.5k
  • Cardiology and Cardiovascular Medicine 10.3k
  • Cancer Research 10.1k
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Current Opinion in Pharmacology United States View profile →
Citations per field, relative to Physiological Genomics
Physiological Genomics · 1×
Citations per year, relative to Physiological Genomics
Physiological Genomics · 1×

Countries where authors publish in Physiological Genomics

Since Specialization
Citations

This map shows the geographic impact of research published in Physiological Genomics. 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 published in Physiological Genomics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Physiological Genomics more than expected).

Fields of papers published in Physiological Genomics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Physiological Genomics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Physiological Genomics.

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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2026