Kim de Mora

7 papers and 444 indexed citations i.

About

Kim de Mora is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Kim de Mora has authored 7 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Biophysics. Recurrent topics in Kim de Mora’s work include Gene Regulatory Network Analysis (4 papers), Cell Image Analysis Techniques (2 papers) and CRISPR and Genetic Engineering (2 papers). Kim de Mora is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Cell Image Analysis Techniques (2 papers) and CRISPR and Genetic Engineering (2 papers). Kim de Mora collaborates with scholars based in United States, United Kingdom and Japan. Kim de Mora's co-authors include Drew Endy, Michael J. Czar, Adam J. Rubin, John Cumbers, Dileep D. Monie, Joseph H. Davis, Caroline M. Ajo‐Franklin, Jason Kelly, Markus Gershater and Traci Haddock-Angelli and has published in prestigious journals such as PLoS ONE, BMC Systems Biology and Journal of Biological Engineering.

In The Last Decade

Co-authorship network of co-authors of Kim de Mora i

Fields of papers citing papers by Kim de Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim de Mora. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kim de Mora. The network helps show where Kim de Mora may publish in the future.

Countries citing papers authored by Kim de Mora

Since Specialization
Citations

This map shows the geographic impact of Kim de Mora's research. 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 Kim de Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim de Mora 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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2025