David Kulp

About

David Kulp is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Kulp has authored 29 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Genetics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Kulp’s work include Gene expression and cancer classification (9 papers), RNA and protein synthesis mechanisms (8 papers) and Machine Learning in Bioinformatics (8 papers). David Kulp is often cited by papers focused on Gene expression and cancer classification (9 papers), RNA and protein synthesis mechanisms (8 papers) and Machine Learning in Bioinformatics (8 papers). David Kulp collaborates with scholars based in United States, New Zealand and Canada. David Kulp's co-authors include David Haussler, Frank H. Eeckman, Martin G. Reese, Aleksandrina Goeva, James Nemesh, Heather de Rivera, Elizabeth Bien, Matthew L. Baum, Melissa Goldman and Shuyu Wang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of David Kulp i

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Fields of papers citing papers by David Kulp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Kulp. 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 David Kulp. The network helps show where David Kulp may publish in the future.

Countries citing papers authored by David Kulp

Since Specialization

Citations

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