Journal of Molecular Diagnostics

1.9k papers and 58.5k indexed citations i.

About

The 1.9k papers published in Journal of Molecular Diagnostics in the last decades have received a total of 58.5k indexed citations. Papers published in Journal of Molecular Diagnostics usually cover Molecular Biology (841 papers), Cancer Research (552 papers) and Genetics (373 papers) specifically the topics of Cancer Genomics and Diagnostics (478 papers), Molecular Biology Techniques and Applications (258 papers) and Genetic factors in colorectal cancer (164 papers). The most active scholars publishing in Journal of Molecular Diagnostics are Jinru Shia, Shuji Ogino, Marc Ladanyi, Margaret L. Gulley, Iris Schrijver, Marquis P. Vawter, William J. Freed, Kevin G. Becker, Chris Cheadle and Xiao-Jun Ma.

In The Last Decade

Fields of papers published in Journal of Molecular Diagnostics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Molecular Diagnostics. 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 Journal of Molecular Diagnostics.

Countries where authors publish in Journal of Molecular Diagnostics

Since Specialization
Citations

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