David Kulp
Impact in
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Single-cell and spatial transcriptomics
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Machine Learning in Bioinformatics 10
- RNA and protein synthesis mechanisms 9
- Gene expression and cancer classification 7
- Bioinformatics and Genomic Networks 5
- Genomics and Phylogenetic Studies 4
- Molecular Biology Techniques and Applications 3
- RNA Research and Splicing 3
- Genetics 7
- Estrogen and related hormone effects 3
- Co-authors
- David Haussler (9 shared papers)Frank H. Eeckman (3 shared papers)Martin G. Reese (3 shared papers)Melissa Goldman (1 shared paper)Heather de Rivera (1 shared paper)Evan Z. Macosko (1 shared paper)Matthew L. Baum (1 shared paper)Laura Bortolin (1 shared paper)
- Journals
- Bioinformatics (4 papers)BMC Genomics (3 papers)PLoS Computational Biology (2 papers)Cancer Research (2 papers)Software Practice and Experience (1 paper)
- Partner nations
- United StatesPolandCanada
In The Last Decade
David Kulp
33 papers receiving 4.9k citations
David Kulp's Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 3.1k
- Neurology 349
- Genetics 1.0k
- Developmental Neuroscience 99
- Cellular and Molecular Neuroscience 411
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-authors
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
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improved Splice Site Detection in Genie Hit paper breakdown → | 1997 | 1268 |
| 2 | Improved splice site detection in Genie Hit paper breakdown → | 1997 | 1243 |
| 3 | Molecular Diversity and Specializations among the Cells of the Adult Mouse Brain Hit paper breakdown → | 2018 | 985 |
| 4 | A generalized hidden Markov model for the recognition of human genes in DNA. | 1996 | 277 |
| 5 | 2006 | 162 | |
| 6 | 2005 | 137 | |
| 7 | 2000 | 131 | |
| 8 | 2003 | 108 | |
| 9 | 2004 | 89 | |
| 10 | 2003 | 85 | |
| 11 | 2003 | 85 | |
| 12 | 2015 | 73 | |
| 13 | 2004 | 71 | |
| 14 | 2006 | 61 | |
| 15 | 2010 | 47 | |
| 16 | Integrating database homology in a probabilistic gene structure model. | 1997 | 33 |
| 17 | 2007 | 26 | |
| 18 | 2003 | 26 | |
| 19 | 2023 | 23 | |
| 20 | Gene Prediction with Conditional Random Fields | 2005 | 23 |
About David Kulp
David Kulp is a scholar working on Molecular Biology, Genetics, Computer Networks and Communications, Pulmonary and Respiratory Medicine and Hardware and Architecture, having authored 36 papers that have together received 5.0k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (10 papers), RNA and protein synthesis mechanisms (9 papers), Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (5 papers), Genomics and Phylogenetic Studies (4 papers), Molecular Biology Techniques and Applications (3 papers), RNA Research and Splicing (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Molecular Biology (3.1k citations), Neurology (349 citations), Genetics (1.0k citations), Developmental Neuroscience (99 citations) and Cellular and Molecular Neuroscience (411 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, Melissa Goldman, Heather de Rivera, Evan Z. Macosko, Matthew L. Baum, Laura Bortolin, Nolan Kamitaki and Alec Wysoker. Their work appears in journals such as Bioinformatics, BMC Genomics, PLoS Computational Biology, Cancer Research and Software Practice and Experience.
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.