Paul Horton

12.1k total citations · 3 hit papers
92 papers, 8.8k citations indexed

About

Paul Horton is a scholar working on Molecular Biology, Artificial Intelligence and Political Science and International Relations. According to data from OpenAlex, Paul Horton has authored 92 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 12 papers in Artificial Intelligence and 7 papers in Political Science and International Relations. Recurrent topics in Paul Horton's work include Genomics and Phylogenetic Studies (22 papers), RNA and protein synthesis mechanisms (20 papers) and Machine Learning in Bioinformatics (17 papers). Paul Horton is often cited by papers focused on Genomics and Phylogenetic Studies (22 papers), RNA and protein synthesis mechanisms (20 papers) and Machine Learning in Bioinformatics (17 papers). Paul Horton collaborates with scholars based in Japan, United States and Taiwan. Paul Horton's co-authors include Kenta Nakai, Kenta Nakai, Takeshi Obayashi, Hideaki Harada, Martin C. Frith, Raymond Wan, Szymon M. Kiełbasa, Kengo Sato, Kenichiro Imai and Kentaro Tomii and has published in prestigious journals such as Science, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Paul Horton

78 papers receiving 8.5k citations

Hit Papers

WoLF PSORT: protein localization predictor 1999 2026 2008 2017 2007 1999 2011 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Horton Japan 26 6.0k 2.6k 625 538 528 92 8.8k
Mikael Bodén Australia 25 7.2k 1.2× 3.8k 1.5× 990 1.6× 410 0.8× 334 0.6× 114 9.9k
Michael Gribskov United States 42 7.4k 1.2× 3.6k 1.4× 1.5k 2.4× 699 1.3× 404 0.8× 94 10.9k
Michael Smoot United States 9 5.9k 1.0× 2.0k 0.8× 1.1k 1.8× 1.1k 2.0× 449 0.9× 11 9.1k
Xiaoqiu Huang United States 21 4.4k 0.7× 2.9k 1.1× 1.2k 2.0× 960 1.8× 373 0.7× 62 7.9k
Yoshihiro Yamanishi Japan 33 6.7k 1.1× 1.4k 0.5× 661 1.1× 487 0.9× 201 0.4× 124 10.0k
Zhang Zhang China 53 7.2k 1.2× 2.8k 1.1× 1.4k 2.2× 753 1.4× 371 0.7× 357 12.4k
Jaap Heringa Netherlands 12 4.3k 0.7× 950 0.4× 837 1.3× 531 1.0× 393 0.7× 29 6.1k
Peter Cock United Kingdom 24 4.4k 0.7× 2.2k 0.8× 985 1.6× 1.0k 1.9× 321 0.6× 59 7.4k
Satoru Kuhara Japan 46 5.4k 0.9× 928 0.4× 905 1.4× 430 0.8× 292 0.6× 203 8.1k
Richa Agarwala United States 34 4.0k 0.7× 1.3k 0.5× 1.5k 2.3× 925 1.7× 402 0.8× 77 7.1k

Countries citing papers authored by Paul Horton

Since Specialization
Citations

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

Fields of papers citing papers by Paul Horton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Horton

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Horton. A scholar is included among the top collaborators of Paul Horton 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 Paul Horton. Paul Horton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Horton, Paul, et al.. (2023). Effects of spaced k-mers on alignment-free genotyping. Bioinformatics. 39(Supplement_1). i213–i221. 3 indexed citations
2.
3.
Horton, Paul. (2016). A commentary on evaluation of the evenness score in next-generation sequencing. Journal of Human Genetics. 61(7). 575–575. 1 indexed citations
4.
Fukasawa, Yoshinori, et al.. (2015). MitoFates: Improved Prediction of Mitochondrial Targeting Sequences and Their Cleavage Sites*. Molecular & Cellular Proteomics. 14(4). 1113–1126. 388 indexed citations
5.
Wijaya, Edward, Martin C. Frith, Paul Horton, & Kiyoshi Asai. (2013). Finding Protein-Coding Genes through Human Polymorphisms. PLoS ONE. 8(1). e54210–e54210. 3 indexed citations
6.
Tsuji, Junko, Martin C. Frith, Kentaro Tomii, & Paul Horton. (2012). Mammalian NUMT insertion is non-random. Nucleic Acids Research. 40(18). 9073–9088. 85 indexed citations
7.
Kiełbasa, Szymon M., Raymond Wan, Kengo Sato, Paul Horton, & Martin C. Frith. (2011). Adaptive seeds tame genomic sequence comparison. Genome Research. 21(3). 487–493. 853 indexed citations breakdown →
8.
Imai, Kenichiro, et al.. (2011). Prediction of leucine-rich nuclear export signal containing proteins with NESsential. Nucleic Acids Research. 39(16). e111–e111. 51 indexed citations
9.
Imai, Kenichiro, Naoya Fujita, M. Michael Gromiha, & Paul Horton. (2011). Eukaryote-wide sequence analysis of mitochondrial β-barrel outer membrane proteins. BMC Genomics. 12(1). 79–79. 30 indexed citations
10.
Frith, Martin C., Raymond Wan, & Paul Horton. (2010). Incorporating sequence quality data into alignment improves DNA read mapping. Nucleic Acids Research. 38(7). e100–e100. 58 indexed citations
11.
Okubo, Kosaku, et al.. (2007). Exhaustive Search Method of Gene Expression Modules and Its Application to Human Tissue Data. 34(1). 119–126. 11 indexed citations
12.
Fujibuchi, Wataru, et al.. (2007). Exhaustive Search of Maximal Biclusters in Gene Expression Data.. International MultiConference of Engineers and Computer Scientists. 17(1). 307–312. 1 indexed citations
13.
Kato, Tsuyoshi, Yukio Murata, Koh Miura, et al.. (2006). Network-based de-noising improves prediction from microarray data. BMC Bioinformatics. 7(S1). S4–S4. 67 indexed citations
14.
Horton, Paul, Keun-Joon Park, Takeshi Obayashi, & Kenta Nakai. (2005). PROTEIN SUBCELLULAR LOCALIZATION PREDICTION WITH WOLF PSORT. 39–48. 211 indexed citations
15.
Horton, Paul. (2002). The WPA Slave Narratives: Teaching with Oral Histories. Social Education. 66(1). 1 indexed citations
16.
Nakai, Kenta & Paul Horton. (1999). PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization. Trends in Biochemical Sciences. 24(1). 34–35. 1860 indexed citations breakdown →
17.
Horton, Paul. (1996). A branch and bound algorithm for local multiple alignment.. PubMed. 368–83. 5 indexed citations
18.
Horton, Paul, et al.. (1994). A Quantitative analysis of disk drive power management in portable computers. UC Berkeley. 22–22. 195 indexed citations
19.
Horton, Paul & Minoru Kanehisa. (1992). An assessment of neural network and statistical approaches for prediction of E.coli Promoter sites. Nucleic Acids Research. 20(16). 4331–4338. 62 indexed citations
20.
Horton, Paul & Gerald R. Leslie. (1970). Studies in the sociology of social problems. Appleton-Century-Crofts eBooks. 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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