D. Haussler

4.4k total citations · 2 hit papers
3 papers, 655 citations indexed

About

D. Haussler is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, D. Haussler has authored 3 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 0 papers in Infectious Diseases. Recurrent topics in D. Haussler's work include Genomics and Phylogenetic Studies (2 papers), Gene expression and cancer classification (2 papers) and Bioinformatics and Genomic Networks (1 paper). D. Haussler is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), Gene expression and cancer classification (2 papers) and Bioinformatics and Genomic Networks (1 paper). D. Haussler collaborates with scholars based in United States and Germany. D. Haussler's co-authors include W. James Kent, Robert M. Kuhn, Jairo Navarro Gonzalez, Angie S. Hinrichs, Anna Benet‐Pagès, Maximilian Haeussler, Matthew L Speir, Brian J. Raney, Luis R Nassar and Mark Diekhans and has published in prestigious journals such as Nucleic Acids Research, Molecular Biology and Evolution and Briefings in Bioinformatics.

In The Last Decade

D. Haussler

3 papers receiving 647 citations

Hit Papers

The UCSC genome browser and associated tools 2012 2026 2016 2021 2012 2024 100 200 300 400 500

Peers

D. Haussler
Lucy H. Williams United States
Pauline A. Fujita United States
Carsten Stuckenholz United States
Yixing Han United States
Vicky Cho Australia
James P. Reddington United Kingdom
Robert J. Hardwick United Kingdom
Amir Goren Israel
Scott McMahon United States
Michael S. Kuehn United States
Lucy H. Williams United States
D. Haussler
Citations per year, relative to D. Haussler D. Haussler (= 1×) peers Lucy H. Williams

Countries citing papers authored by D. Haussler

Since Specialization
Citations

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

Fields of papers citing papers by D. Haussler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Haussler

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

All Works

3 of 3 papers shown
1.
Barber, Galt P, Anna Benet‐Pagès, Jonathan D. Casper, et al.. (2024). The UCSC Genome Browser database: 2025 update. Nucleic Acids Research. 53(D1). D1243–D1249. 113 indexed citations breakdown →
2.
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 →
3.
Haussler, D., et al.. (2007). Detecting the Coevolution of Biosequences An Example of RNA Interaction Prediction. Molecular Biology and Evolution. 24(10). 2354–2354. 2 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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