David States

2.7k total citations
20 papers, 1.7k citations indexed

About

David States is a scholar working on Molecular Biology, Spectroscopy and Mechanics of Materials. According to data from OpenAlex, David States has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Mechanics of Materials. Recurrent topics in David States's work include Bioinformatics and Genomic Networks (6 papers), Advanced Proteomics Techniques and Applications (4 papers) and Biomedical Text Mining and Ontologies (4 papers). David States is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Advanced Proteomics Techniques and Applications (4 papers) and Biomedical Text Mining and Ontologies (4 papers). David States collaborates with scholars based in United States, Belgium and United Kingdom. David States's co-authors include Warren Gish, William Gardner, Nicholas Bagley, Zhengyan Kan, Kris Gevaert, Henning Hermjakob, Joël Vandekerckhove, Lennart Martens, Chris Taylor and Philip Jones and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

David States

20 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David States United States 14 1.1k 400 131 112 89 20 1.7k
Alan R. Dabney United States 21 1.0k 0.9× 389 1.0× 65 0.5× 111 1.0× 17 0.2× 37 1.6k
Anthony T. Fojo United States 11 770 0.7× 87 0.2× 33 0.3× 91 0.8× 69 0.8× 44 1.3k
Yinsheng Qu United States 17 693 0.6× 566 1.4× 173 1.3× 62 0.6× 22 0.2× 28 1.8k
Kei‐Hoi Cheung United States 24 1.6k 1.4× 169 0.4× 344 2.6× 655 5.8× 46 0.5× 77 2.5k
Debashis Ghosh United States 17 825 0.7× 111 0.3× 48 0.4× 339 3.0× 16 0.2× 47 1.4k
Patrick McConnell United States 24 575 0.5× 108 0.3× 73 0.6× 62 0.6× 77 0.9× 102 2.4k
Vincent A. Fusaro United States 17 2.5k 2.2× 1.7k 4.3× 237 1.8× 300 2.7× 166 1.9× 40 4.1k
Homayoun Valafar United States 19 816 0.7× 318 0.8× 33 0.3× 14 0.1× 108 1.2× 71 1.4k
Marco Masseroli Italy 23 1.0k 0.9× 49 0.1× 310 2.4× 125 1.1× 23 0.3× 135 2.0k
S. Stanley Young United States 16 602 0.5× 201 0.5× 108 0.8× 125 1.1× 13 0.1× 31 1.5k

Countries citing papers authored by David States

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David States

This figure shows the co-authorship network connecting the top 25 collaborators of David States. A scholar is included among the top collaborators of David States 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 David States. David States 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.
Gardner, William, David States, & Nicholas Bagley. (2020). The Coronavirus and the Risks to the Elderly in Long-Term Care. Journal of Aging & Social Policy. 32(4-5). 310–315. 190 indexed citations
2.
Βaylis, Françoise, et al.. (2019). Report on Lord Dalhousie’s History on Slavery and Race. 4 indexed citations
3.
Sartor, Maureen A., Alex Ade, Zach Wright, et al.. (2012). Metab2MeSH: annotating compounds with medical subject headings. Bioinformatics. 28(10). 1408–1410. 33 indexed citations
4.
States, David & K. Lawrence DeVries. (2012). Geometric Factors Impacting Adhesive Lap Joint Strength and Design. Journal of Adhesion Science and Technology. 26(1-3). 89–107. 3 indexed citations
5.
Weymouth, Terry E., Alex Ade, Jun Gao, et al.. (2008). Michigan molecular interactions r2: from interacting proteins to pathways. Nucleic Acids Research. 37(Database). D642–D646. 78 indexed citations
6.
Rosania, Gus R., Gordon M. Crippen, Peter Woolf, David States, & Kerby Shedden. (2007). A Cheminformatic Toolkit for Mining Biomedical Knowledge. Pharmaceutical Research. 24(10). 1791–1802. 17 indexed citations
7.
Li, Xing, Blair Madison, William J. Zacharias, et al.. (2007). Deconvoluting the intestine: molecular evidence for a major role of the mesenchyme in the modulation of signaling cross talk. Physiological Genomics. 29(3). 290–301. 65 indexed citations
8.
Elkiss, Aaron, et al.. (2007). Blind men and elephants: What do citation summaries tell us about a research article?. Journal of the American Society for Information Science and Technology. 59(1). 51–62. 106 indexed citations
9.
Jayapandian, Magesh, Adriane Chapman, Cong Yu, et al.. (2006). Michigan Molecular Interactions (MiMI): putting the jigsaw puzzle together. Nucleic Acids Research. 35(Database). D566–D571. 100 indexed citations
10.
Carayol, Nathalie, Ji Chen, Fan Yang, et al.. (2006). A Dominant Function of IKK/NF-κB Signaling in Global Lipopolysaccharide-induced Gene Expression. Journal of Biological Chemistry. 281(41). 31142–31151. 56 indexed citations
12.
Rao, Arvind, Alfred O. Hero, David States, & James Douglas Engel. (2006). Manifold embedding for understanding mechanisms of transcriptional regulation. 3–4. 2 indexed citations
13.
Martens, Lennart, Henning Hermjakob, Philip Jones, et al.. (2005). PRIDE: The proteomics identifications database. PROTEOMICS. 5(13). 3537–3545. 443 indexed citations
14.
Martens, Lennart, Henning Hermjakob, Philip Jones, et al.. (2005). PRIDE: The proteomics identifications database (vol. 5, Issue 13, pp. 3537‐3545). PROTEOMICS. 5(15). 4046–4046. 1 indexed citations
15.
Eng, Jimmy K., Matthew Fitzgibbon, Ted Holzman, et al.. (2005). Computational Proteomics Analysis System (CPAS):  An Extensible, Open-Source Analytic System for Evaluating and Publishing Proteomic Data and High Throughput Biological Experiments. Journal of Proteome Research. 5(1). 112–121. 163 indexed citations
16.
Kan, Zhengyan, David States, & Warren Gish. (2002). Selecting for Functional Alternative Splices in ESTs. Genome Research. 12(12). 1837–1845. 155 indexed citations
17.
States, David. (2001). Unity IV hybrid rocket motor, nozzle, fuel and ignition systems. 37th Joint Propulsion Conference and Exhibit. 1 indexed citations
18.
Kan, Zhengyan, Warren Gish, Eric C. Rouchka, Jarret Glasscock, & David States. (2000). Gambaran Pengetahuan, Sikap dan Perilaku Ibu hamil Terhadap Cakupan Kunjungan Pertama (K1) Di Puskesmas Lemah Wungkuk Kota Cirebon Tahun 2007. PubMed. 8. 218–27. 13 indexed citations
19.
Green, Philip, David J. Lipman, LaDeana Hillier, et al.. (1993). Ancient Conserved Regions in New Gene Sequences and the Protein Databases. Science. 259(5102). 1711–1716. 135 indexed citations
20.
States, David, Warren Gish, & Stephen F. Altschul. (1991). Improved sensitivity of nucleic acid database searches using application-specific scoring matrices. Methods. 3(1). 66–70. 115 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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