David States
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Machine Learning in Bioinformatics
Papers in
-
- Bioinformatics and Genomic Networks 6
- Biomedical Text Mining and Ontologies 4
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 3
- Metabolomics and Mass Spectrometry Studies 2
- RNA Research and Splicing 2
- Machine Learning in Bioinformatics 2
-
- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Warren Gish (3 shared papers)William Gardner (1 shared paper)Nicholas Bagley (1 shared paper)Zhengyan Kan (2 shared papers)Kris Gevaert (2 shared papers)Chris Taylor (2 shared papers)Lennart Martens (2 shared papers)Philip Jones (2 shared papers)
- Journals
- PROTEOMICS (2 papers)Journal of Proteome Research (2 papers)Nucleic Acids Research (2 papers)Bioinformatics (1 paper)Science (1 paper)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
David States
21 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 151
- Spectroscopy 422
- Molecular Biology 1.1k
- Aging 16
- Modeling and Simulation 28
- Cancer Research 67
Countries citing papers authored by David States
This map shows the geographic impact of David States'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 David States with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David States more than expected).
Fields of papers citing papers by David States
This network shows the impact of papers produced by David States. 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 David States. The network helps show where David States may publish in the future.
Co-authors
The 25 scholars most cited alongside David States, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 470 | |
| 2 | 2020 | 199 | |
| 3 | 2005 | 169 | |
| 4 | 2002 | 157 | |
| 5 | 1993 | 149 | |
| 6 | 1991 | 125 | |
| 7 | 2007 | 122 | |
| 8 | 2006 | 104 | |
| 9 | 2008 | 81 | |
| 10 | 2007 | 69 | |
| 11 | 2006 | 57 | |
| 12 | 2012 | 34 | |
| 13 | 2007 | 18 | |
| 14 | UTR reconstruction and analysis using genomically aligned EST sequences. | 2000 | 13 |
| 15 | 2006 | 12 | |
| 16 | 2012 | 7 | |
| 17 | Report on Lord Dalhousie’s History on Slavery and Race | 2019 | 4 |
| 18 | 2005 | 2 | |
| 19 | 2006 | 2 | |
| 20 | 2005 | 1 |
About David States
David States is a scholar working on Molecular Biology, Spectroscopy, Mechanics of Materials, Genetics and General Health Professions, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Advanced Proteomics Techniques and Applications (4 papers), Biomedical Text Mining and Ontologies (4 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), RNA Research and Splicing (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Spectroscopy (422 citations), Molecular Biology (1.1k citations), Aging (16 citations), Modeling and Simulation (28 citations) and Cancer Research (67 citations). David States has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Warren Gish, William Gardner, Nicholas Bagley, Zhengyan Kan, Kris Gevaert, Chris Taylor, Lennart Martens, Philip Jones, Rolf Apweiler and Marcin Adamski. Their work appears in journals such as PROTEOMICS, Journal of Proteome Research, Nucleic Acids Research, Bioinformatics and Science.
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.