David Kulp

46.1k total citations · 3 hit papers
35 papers, 4.8k citations indexed

About

David Kulp is a scholar working on Molecular Biology, Genetics and Computer Networks and Communications. According to data from OpenAlex, David Kulp has authored 35 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 8 papers in Genetics and 2 papers in Computer Networks and Communications. Recurrent topics in David Kulp's work include Machine Learning in Bioinformatics (11 papers), Gene expression and cancer classification (11 papers) and RNA and protein synthesis mechanisms (9 papers). David Kulp is often cited by papers focused on Machine Learning in Bioinformatics (11 papers), Gene expression and cancer classification (11 papers) and RNA and protein synthesis mechanisms (9 papers). David Kulp collaborates with scholars based in United States, New Zealand and Poland. David Kulp's co-authors include David Haussler, Frank H. Eeckman, Martin G. Reese, Fenna M. Krienen, Evan Z. Macosko, Arpiar Saunders, Elizabeth Bien, Laura Bortolin, Melissa Goldman and Heather de Rivera and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

David Kulp

33 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improved Splice Site Detection in Genie

1997 1.2k citations Martin G. Reese, Frank H. Eeckman et al. Journal of Computational Biology profile →
Improved splice site detection in Genie

1997 1.2k citations Martin G. Reese, Frank H. Eeckman et al. PubMed profile →
Molecular Diversity and Specializations among the Cells of the Adult Mouse Brain

2018 943 citations Arpiar Saunders, Evan Z. Macosko et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Kulp United States	20	3.3k	1.1k	427	378	283	35	4.8k
Todd E. Scheetz United States	41	3.5k 1.0×	1.1k 1.0×	327 0.8×	332 0.9×	248 0.9×	140	5.9k
Christian T. Carson United States	19	2.7k 0.8×	1.0k 0.9×	872 2.0×	378 1.0×	295 1.0×	25	4.1k
Stevens K. Rehen Brazil	34	2.6k 0.8×	586 0.5×	723 1.7×	297 0.8×	247 0.9×	119	4.7k
Ajamete Kaykas United States	21	3.9k 1.2×	746 0.7×	472 1.1×	464 1.2×	330 1.2×	27	5.2k
Moshe Shani Israel	39	4.3k 1.3×	1.4k 1.3×	744 1.7×	325 0.9×	514 1.8×	99	6.6k
Oded Singer United States	21	3.1k 0.9×	963 0.9×	509 1.2×	221 0.6×	494 1.7×	35	5.3k
Zizhen Yao United States	38	4.4k 1.3×	575 0.5×	570 1.3×	307 0.8×	547 1.9×	58	5.5k
Stefano Stifani Canada	47	4.6k 1.4×	975 0.9×	675 1.6×	373 1.0×	915 3.2×	99	7.1k

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).

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.

Co-authorship network of co-authors of David Kulp

This figure shows the co-authorship network connecting the top 25 collaborators of David Kulp. A scholar is included among the top collaborators of David Kulp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Kulp. David Kulp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bardach, Shoshana H., Laurence Sperling, Benjamin L. S. Furman, et al.. (2025). Novel strategies to FIND people living with genetic dyslipidemias: The family heart foundation flag, identify, network, and deliver (FIND) familial hypercholesterolemia collaborative learning network. American Journal of Preventive Cardiology. 23. 101275–101275.

Hodges-Gallagher, Leslie, Fabian E. Ortega, David Kulp, et al.. (2023). Palazestrant (OP-1250), A Complete Estrogen Receptor Antagonist, Inhibits Wild-type and Mutant ER-positive Breast Cancer Models as Monotherapy and in Combination. Molecular Cancer Therapeutics. 23(3). 285–300. 21 indexed citations

Saunders, Arpiar, Evan Z. Macosko, Alec Wysoker, et al.. (2018). Molecular Diversity and Specializations among the Cells of the Adult Mouse Brain. Cell. 174(4). 1015–1030.e16. 943 indexed citations breakdown →

Reed, Eric, Sara Núñez, David Kulp, et al.. (2015). A guide to genome‐wide association analysis and post‐analytic interrogation. Statistics in Medicine. 34(28). 3769–3792. 69 indexed citations

Bahl, Amit, Paul H. Davis, Michael S. Behnke, et al.. (2010). A novel multifunctional oligonucleotide microarray for Toxoplasma gondii. BMC Genomics. 11(1). 603–603. 41 indexed citations

Li, Linya, et al.. (2009). Improving Gene-finding in Chlamydomonas reinhardtii:GreenGenie2. BMC Genomics. 10(1). 210–210. 14 indexed citations

Pal, Chris, et al.. (2007). Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering. BMC Bioinformatics. 8(S10). S5–S5. 25 indexed citations

Kulp, David, et al.. (2006). Causal inference of regulator-target pairs by gene mapping of expression phenotypes. BMC Genomics. 7(1). 125–125. 51 indexed citations

Sugnet, Charles W., Tyson A. Clark, Georgeann S. O’Brien, et al.. (2006). Unusual Intron Conservation near Tissue-Regulated Exons Found by Splicing Microarrays. PLoS Computational Biology. 2(1). e4–e4. 158 indexed citations

10.

Matsuzaki, Hideo, T. A. Webster, Earl Hubbell, et al.. (2005). Dynamic model based algorithms for screening and genotyping over 100K SNPs on oligonucleotide microarrays. Computer applications in the biosciences. 21(9). 1958–1963. 135 indexed citations

11.

Li, Jin Billy, Shaoping Lin, Hongmin Wu, et al.. (2003). Analysis of Chlamydomonas reinhardtii Genome Structure Using Large‐Scale Sequencing of Regions on Linkage Groups I and III. Journal of Eukaryotic Microbiology. 50(3). 145–155. 19 indexed citations

12.

Liu, Weimin, Xiaojun Di, Geoffrey Yang, et al.. (2003). Algorithms for large-scale genotyping microarrays. Bioinformatics. 19(18). 2397–2403. 83 indexed citations

13.

Mei, Rui, Earl Hubbell, Stefan Bekiranov, et al.. (2003). Probe selection for high-density oligonucleotide arrays. Proceedings of the National Academy of Sciences. 100(20). 11237–11242. 103 indexed citations

14.

Wang, Hui, Earl Hubbell, Gangwu Mei, et al.. (2003). Gene structure-based splice variant deconvolution using a microarry platform. Bioinformatics. 19(suppl_1). i315–i322. 82 indexed citations

15.

Cline, Melissa, et al.. (2003). THE EFFECTS OF ALTERNATIVE SPLICING ON TRANSMEMBRANE PROTEINS IN THE MOUSE GENOME. PubMed. 17–28. 25 indexed citations

16.

Reese, Martin G., David Kulp, Hari Tammana, & David Haussler. (2000). Genie—Gene Finding in Drosophila melanogaster. Genome Research. 10(4). 529–538. 121 indexed citations

17.

Reese, Martin G., Frank H. Eeckman, David Kulp, & David Haussler. (1997). Improved Splice Site Detection in Genie. Journal of Computational Biology. 4(3). 311–323. 1236 indexed citations breakdown →

18.

Kulp, David, et al.. (1996). A generalized hidden Markov model for the recognition of human genes in DNA.. PubMed. 4. 134–42. 251 indexed citations

19.

Rosen, Eric, W. Macy, David Kulp, et al.. (1995). Compression research on the REINAS Project. NASA Technical Reports Server (NASA). 2 indexed citations

20.

Kulp, David. (1993). Very Fast Pattern Matching for Highly Repetitive Text. University of Canterbury Research Repository (University of Canterbury). 1 indexed citations

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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