David Kulp
- Molecular Biology top 2%
- Machine Learning in Bioinformatics 11
- Gene expression and cancer classification 11
- RNA and protein synthesis mechanisms 9
- Bioinformatics and Genomic Networks 6
- Genomics and Phylogenetic Studies 6
- Molecular Biology Techniques and Applications 4
- RNA Research and Splicing 4
- Neurology top 2%
- Genetics top 2%
- Genetic Mapping and Diversity in Plants and Animals 4
- Developmental Neuroscience top 5%
- Co-authors
- David HausslerFrank H. EeckmanMartin G. ReeseSteven A. McCarrollMatthew L. BaumElizabeth BienJames NemeshLaura Bortolin
- Cited by
- Molecular BiologyNeurologyGenetics
- Partner nations
- United StatesPolandCanada
In The Last Decade
David Kulp
33 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 3.3k
- Neurology 378
- Genetics 1.1k
- Cellular and Molecular Neuroscience 427
- Developmental Neuroscience 95
Countries citing papers authored by David Kulp
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).
Fields of papers citing papers by David Kulp
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.
Co-authorship network
The 25 scholars most cited alongside David Kulp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 21 | |
| 3 | Molecular Diversity and Specializations among the Cells of the Adult Mouse Brainbreakdown → | 2018 | 943 |
| 4 | 2010 | 41 | |
| 5 | 2009 | 14 | |
| 6 | 2007 | 25 | |
| 7 | 2006 | 51 | |
| 8 | 2006 | 158 | |
| 9 | 2005 | 135 | |
| 10 | 2005 | 8 | |
| 11 | 2003 | 19 | |
| 12 | 2003 | 83 | |
| 13 | 2003 | 82 | |
| 14 | 2003 | 103 | |
| 15 | 2003 | 25 | |
| 16 | 2000 | 121 | |
| 17 | Improved Splice Site Detection in Geniebreakdown → | 1997 | 1236 |
| 18 | A generalized hidden Markov model for the recognition of human genes in DNA. | 1996 | 251 |
| 19 | Compression research on the REINAS Project | 1995 | 2 |
| 20 | Very Fast Pattern Matching for Highly Repetitive Text | 1993 | 1 |
About David Kulp
David Kulp is a scholar working on Molecular Biology, Biophysics, Hardware and Architecture, Genetics and Developmental Neuroscience, having authored 35 papers that have together received 4.8k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (11 papers), Gene expression and cancer classification (11 papers), RNA and protein synthesis mechanisms (9 papers), Bioinformatics and Genomic Networks (6 papers), Genomics and Phylogenetic Studies (6 papers), Molecular Biology Techniques and Applications (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Neurology (378 citations), Genetics (1.1k citations), Cellular and Molecular Neuroscience (427 citations) and Developmental Neuroscience (95 citations). David Kulp has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include David Haussler, Frank H. Eeckman, Martin G. Reese, Steven A. McCarroll, Matthew L. Baum, Elizabeth Bien, James Nemesh, Laura Bortolin, Evan Z. Macosko and Shuyu Wang. Their work appears in journals such as Bioinformatics, BMC Genomics, Cancer Research, PLoS Computational Biology and Molecular Cancer Therapeutics.
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.