Robert M. Kuhn

27.6k total citations · 2 hit papers
30 papers, 3.1k citations indexed

About

Robert M. Kuhn is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Robert M. Kuhn has authored 30 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Robert M. Kuhn's work include Genomics and Phylogenetic Studies (15 papers), Gene expression and cancer classification (7 papers) and RNA and protein synthesis mechanisms (6 papers). Robert M. Kuhn is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Gene expression and cancer classification (7 papers) and RNA and protein synthesis mechanisms (6 papers). Robert M. Kuhn collaborates with scholars based in United States, Netherlands and Sweden. Robert M. Kuhn's co-authors include W. James Kent, D. Haussler, David Haussler, Hiram Clawson, Mark Diekhans, Ann S. Zweig, Fan Hsu, W. James Kent, Jeremy C. Smith and Sarah McAvoy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Robert M. Kuhn

30 papers receiving 3.1k citations

Hit Papers

The UCSC Genome Browser database: 2019 update 2012 2026 2016 2021 2018 2012 100 200 300 400 500
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.

  1. The UCSC Genome Browser database: 2019 update
    2018 547 citations Maximilian Haeussler, Ann S. Zweig et al. Nucleic Acids Research profile →
  2. The UCSC genome browser and associated tools
    2012 540 citations Robert M. Kuhn, D. Haussler et al. Briefings in Bioinformatics profile →

Peers

Robert M. Kuhn
Altuna Akalin Germany
Brian J. Raney United States
Damir Baranas̆ić United Kingdom
Sandro J. de Souza Brazil
Hervé Pagès United States
Yutao Fu United States
Martin S. Taylor United Kingdom
Geoffrey Childs United States
Chia‐Lin Wei United States
Altuna Akalin Germany
Robert M. Kuhn
Citations per year, relative to Robert M. Kuhn Robert M. Kuhn (= 1×) peers Altuna Akalin

Countries citing papers authored by Robert M. Kuhn

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Kuhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Kuhn. 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 Robert M. Kuhn. The network helps show where Robert M. Kuhn may publish in the future.

Co-authorship network of co-authors of Robert M. Kuhn

This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Kuhn. A scholar is included among the top collaborators of Robert M. Kuhn 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 Robert M. Kuhn. Robert M. Kuhn 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.
Jung, Jaeyoung K., Blake J. Rasor, Adam D. Silverman, et al.. (2023). At-Home, Cell-Free Synthetic Biology Education Modules for Transcriptional Regulation and Environmental Water Quality Monitoring. ACS Synthetic Biology. 12(10). 2909–2921. 13 indexed citations
2.
Kuhn, Robert M., et al.. (2022). Development of a Freeze-Dried CRISPR-Cas12 Sensor for Detecting Wolbachia in the Secondary Science Classroom. ACS Synthetic Biology. 11(2). 835–842. 30 indexed citations
3.
Haeussler, Maximilian, Ann S. Zweig, Matthew L Speir, et al.. (2018). The UCSC Genome Browser database: 2019 update. Nucleic Acids Research. 47(D1). D853–D858. 547 indexed citations breakdown →
4.
Castro, Glenda, Xuejun Liu, Karen Ngo, et al.. (2017). RORγt and RORα signature genes in human Th17 cells. PLoS ONE. 12(8). e0181868–e0181868. 110 indexed citations
5.
Hinrichs, Angie S., Brian J. Raney, Matthew L Speir, et al.. (2016). UCSC Data Integrator and Variant Annotation Integrator. Bioinformatics. 32(9). 1430–1432. 48 indexed citations
6.
Leeuw, Nicole de, Trijnie Dijkhuizen, Jayne Y. Hehir‐Kwa, et al.. (2012). Diagnostic interpretation of array data using public databases and internet sources. Human Mutation. 33(6). 930–940. 83 indexed citations
7.
Kuhn, Robert M., D. Haussler, & W. James Kent. (2012). The UCSC genome browser and associated tools. Briefings in Bioinformatics. 14(2). 144–161. 540 indexed citations breakdown →
8.
Sanborn, Zack, Stephen C. Benz, Brian Craft, et al.. (2010). The UCSC cancer genomics browser: update 2011. Nucleic Acids Research. 39(suppl_1). D951–D959. 64 indexed citations
9.
Rosenbloom, Kate R., Timothy R. Dreszer, Michael Pheasant, et al.. (2009). ENCODE whole-genome data in the UCSC Genome Browser. Nucleic Acids Research. 38(Database). D620–D625. 263 indexed citations
10.
Zweig, Ann S., Donna Karolchik, Robert M. Kuhn, David Haussler, & W. James Kent. (2008). UCSC genome browser tutorial. Genomics. 92(2). 75–84. 71 indexed citations
11.
Karolchik, Donna, Gill Bejerano, Angie S. Hinrichs, et al.. (2007). Comparative Genomic Analysis Using the UCSC Genome Browser. Methods in molecular biology. 395. 17–33. 22 indexed citations
12.
Trumbower, Heather, et al.. (2006). Variation resources at UC Santa Cruz. Nucleic Acids Research. 35(Database). D716–D720. 17 indexed citations
13.
Thomas, Daniel, Kate R. Rosenbloom, Hiram Clawson, et al.. (2006). The ENCODE Project at UC Santa Cruz. Nucleic Acids Research. 35(Database). D663–D667. 66 indexed citations
14.
Zhu, Yuechun, Sarah McAvoy, Robert M. Kuhn, & Jeremy C. Smith. (2006). RORA, a large common fragile site gene, is involved in cellular stress response. Oncogene. 25(20). 2901–2908. 113 indexed citations
15.
Kent, W. James, Fan Hsu, Donna Karolchik, et al.. (2005). Exploring relationships and mining data with the UCSC Gene Sorter: Figure 1.. Genome Research. 15(5). 737–741. 56 indexed citations
16.
Smith, Jeremy C., Yu Zhu, Sarah McAvoy, & Robert M. Kuhn. (2005). Common fragile sites, extremely large genes, neural development and cancer. Cancer Letters. 232(1). 48–57. 152 indexed citations
17.
Qin, Minmin, Robert M. Kuhn, S.M. Moran, & Peter H. Quail. (1997). Overexpressed phytochrome C has similar photosensory specificity to phytochrome B but a distinctive capacity to enhance primary leaf expansion. The Plant Journal. 12(5). 1163–1172. 52 indexed citations
18.
Kuhn, Robert M. & Robert A. Ludwig. (1994). Complete sequence of the yeast artificial chromosome cloning vector pYAC4. Gene. 141(1). 125–127. 11 indexed citations
19.
Kuhn, Robert M., Timothy Caspar, Katayoon Dehesh, & Peter H. Quail. (1993). DNA binding factor GT-2 from Arabidopsis. Plant Molecular Biology. 23(2). 337–348. 54 indexed citations
20.
Stringer, James R., et al.. (1985). Unequal homologous recombination between tandemly arranged sequences stably incorporated into cultured rat cells.. Molecular and Cellular Biology. 5(10). 2613–2622. 12 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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