Dave Clements
Impact in
- Aging top 5%
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Gut microbiota and health
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
Papers in
-
- Scientific Computing and Data Management 4
- Co-authors
- ANTON Y NEKRUTENKO (7 shared papers)James Taylor (7 shared papers)Daniel Blankenberg (6 shared papers)Enis Afgan (5 shared papers)Jeremy Goecks (5 shared papers)Jennifer Hillman‐Jackson (4 shared papers)Björn Andreas Grüning (3 shared papers)Dave Bouvier (3 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Genome biology (1 paper)ACM SIGMOD Record (1 paper)Current Protocols in Bioinformatics (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Dave Clements
21 papers receiving 4.8k citations
Dave Clements's Hit Papers
Peers
Comparison fields: 5 of 180
- Aging 71
- Molecular Biology 2.6k
- Information Systems and Management 244
- Endocrinology 162
- Molecular Medicine 135
Countries citing papers authored by Dave Clements
This map shows the geographic impact of Dave Clements'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 Dave Clements with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Clements more than expected).
Fields of papers citing papers by Dave Clements
This network shows the impact of papers produced by Dave Clements. 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 Dave Clements. The network helps show where Dave Clements may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave Clements, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update Hit paper breakdown → | 2018 | 2607 |
| 2 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update Hit paper breakdown → | 2016 | 1534 |
| 3 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update Hit paper breakdown → | 2020 | 342 |
| 4 | 2008 | 88 | |
| 5 | 2007 | 76 | |
| 6 | 2012 | 38 | |
| 7 | 2011 | 34 | |
| 8 | 2020 | 34 | |
| 9 | 1995 | 27 | |
| 10 | 2009 | 19 | |
| 11 | 2008 | 12 | |
| 12 | 2008 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2007 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2008 | 3 | |
| 17 | 1992 | 3 | |
| 18 | 1991 | 3 | |
| 19 | 1994 | 3 | |
| 20 | 2006 | 3 |
About Dave Clements
Dave Clements is a scholar working on Information Systems and Management, Health Information Management, General Health Professions, Biophysics and Emergency Medical Services, having authored 22 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Scientific Computing and Data Management (4 papers), Gene expression and cancer classification (3 papers), Patient Safety and Medication Errors (2 papers), Biomedical and Engineering Education (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Single-cell and spatial transcriptomics (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Aging (71 citations), Molecular Biology (2.6k citations), Information Systems and Management (244 citations), Endocrinology (162 citations) and Molecular Medicine (135 citations). Dave Clements has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include ANTON Y NEKRUTENKO, James Taylor, Daniel Blankenberg, Enis Afgan, Jeremy Goecks, Jennifer Hillman‐Jackson, Björn Andreas Grüning, Dave Bouvier, Nicola Soranzo and Nate Coraor. Their work appears in journals such as Nucleic Acids Research, Genome biology, ACM SIGMOD Record, Current Protocols in Bioinformatics and PLoS 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.