Mark Diekhans
Impact in
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Machine Learning in Bioinformatics
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 23
- RNA and protein synthesis mechanisms 15
- Machine Learning in Bioinformatics 8
- Protein Structure and Dynamics 5
- RNA modifications and cancer 5
- Genetics 17
- Genomics and Rare Diseases 8
- Co-authors
- David Haussler (27 shared papers)Robert Baertsch (2 shared papers)Mario Stanke (2 shared papers)Tommi Jaakkola (2 shared papers)Rachel Karchin (7 shared papers)Hiram Clawson (4 shared papers)Robert M. Kuhn (3 shared papers)Jonathan D. Casper (5 shared papers)
- Journals
- Genome Research (6 papers)Nucleic Acids Research (5 papers)Bioinformatics (5 papers)Proteins Structure Function and Bioinformatics (4 papers)Journal of Computational Biology (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mark Diekhans
52 papers receiving 6.8k citations
Mark Diekhans's Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 4.5k
- Cancer Research 727
- Genetics 1.4k
- Plant Science 1.2k
- Horticulture 18
Countries citing papers authored by Mark Diekhans
This map shows the geographic impact of Mark Diekhans'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 Mark Diekhans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Diekhans more than expected).
Fields of papers citing papers by Mark Diekhans
This network shows the impact of papers produced by Mark Diekhans. 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 Mark Diekhans. The network helps show where Mark Diekhans may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Diekhans, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using native and syntenically mapped cDNA alignments to improve de novo gene finding Hit paper breakdown → | 2008 | 1545 |
| 2 | The UCSC Genome Browser database: 2019 update Hit paper breakdown → | 2018 | 554 |
| 3 | 2006 | 369 | |
| 4 | 2014 | 340 | |
| 5 | 2000 | 318 | |
| 6 | Using the Fisher kernel method to detect remote protein homologies. | 1999 | 276 |
| 7 | 2012 | 255 | |
| 8 | 2014 | 252 | |
| 9 | 2003 | 241 | |
| 10 | 2003 | 235 | |
| 11 | 2016 | 218 | |
| 12 | 2005 | 179 | |
| 13 | Segmental duplications and their variation in a complete human genome Hit paper breakdown → | 2022 | 166 |
| 14 | The UCSC Genome Browser database: 2025 update Hit paper breakdown → | 2024 | 161 |
| 15 | 2011 | 141 | |
| 16 | 2019 | 140 | |
| 17 | 2012 | 131 | |
| 18 | 2013 | 112 | |
| 19 | 2001 | 102 | |
| 20 | 1999 | 90 |
About Mark Diekhans
Mark Diekhans is a scholar working on Molecular Biology, Genetics, Plant Science, Cancer Research and Computer Networks and Communications, having authored 52 papers that have together received 6.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (23 papers), RNA and protein synthesis mechanisms (15 papers), Chromosomal and Genetic Variations (10 papers), Cancer Genomics and Diagnostics (9 papers), Genomics and Rare Diseases (8 papers), Machine Learning in Bioinformatics (8 papers), Protein Structure and Dynamics (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Cancer Research (727 citations), Genetics (1.4k citations), Plant Science (1.2k citations) and Horticulture (18 citations). Mark Diekhans has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David Haussler, Robert Baertsch, Mario Stanke, Tommi Jaakkola, Rachel Karchin, Hiram Clawson, Robert M. Kuhn, Jonathan D. Casper, W. James Kent and Melissa Cline. Their work appears in journals such as Genome Research, Nucleic Acids Research, Bioinformatics, Proteins Structure Function and Bioinformatics and Journal of Computational Biology.
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.