Human Genome Variation

416 papers and 2.9k indexed citations i.

About

The 416 papers published in Human Genome Variation in the last decades have received a total of 2.9k indexed citations. Papers published in Human Genome Variation usually cover Molecular Biology (246 papers), Genetics (186 papers) and Surgery (37 papers) specifically the topics of Genetics and Neurodevelopmental Disorders (47 papers), Genomic variations and chromosomal abnormalities (47 papers) and Genomics and Rare Diseases (43 papers). The most active scholars publishing in Human Genome Variation are Toshiyuki Yamamoto, Katsushi Tokunaga, Keiko Shimojima, Takuya Naruto, Nobuhiko Okamoto, Taku Miyagawa, Issei Imoto, Kenji Kurosawa, Tomohiro Kohmoto and Yumi Enomoto.

In The Last Decade

Fields of papers published in Human Genome Variation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Human Genome Variation. 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 Genome Variation.

Countries where authors publish in Human Genome Variation

Since Specialization
Citations

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