Human Genomics

849 papers and 19.9k indexed citations i.

About

The 849 papers published in Human Genomics in the last decades have received a total of 19.9k indexed citations. Papers published in Human Genomics usually cover Molecular Biology (474 papers), Genetics (299 papers) and Cancer Research (130 papers) specifically the topics of Genetic Associations and Epidemiology (101 papers), Genomics and Rare Diseases (90 papers) and Bioinformatics and Genomic Networks (68 papers). The most active scholars publishing in Human Genomics are Daniel W. Nebert, Vasilis Vasiliou, David R. Nelson, Dennis R. Petersen, Michael P. H. Stumpf, Elspeth A. Bruford, D.N. Cooper, Hongyu Zhao, Rebecca L. Smathers and M Chen.

In The Last Decade

Fields of papers published in Human Genomics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Human 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 Human Genomics.

Countries where authors publish in Human Genomics

Since Specialization
Citations

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