David J. States

24.9k citations
80 papers · 21.5k · 4 hit papers · h-index 32

Impact in

  • Spectroscopy top 0.1%
    • Mass Spectrometry Techniques and Applications
    • Advanced NMR Techniques and Applications
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry

Papers in

    • Genomics and Phylogenetic Studies 19
    • Machine Learning in Bioinformatics 19
    • RNA and protein synthesis mechanisms 14
    • Bioinformatics and Genomic Networks 11
    • Gene expression and cancer classification 9
    • Protein Structure and Dynamics 9
    • Gene Regulatory Network Analysis 7
    • Advanced Proteomics Techniques and Applications 12

David J. States

74 papers receiving 20.8k citations

David J. States's Hit Papers

Overview of the HUPO Plasma Proteome Project: Results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly‐available database 2005 · 682 citations
6820+14+29Years since publication4.0k8.0k12.0k

Peers

David J. States
Comparison fields: 5 of 196
  • Spectroscopy 3.7k
  • Molecular Biology 14.4k
  • Physical and Theoretical Chemistry 764
  • Atomic and Molecular Physics, and Optics 2.7k
  • Materials Chemistry 3.8k
Replace Robert D. Skeel with:
Robert D. Skeel United States
Krzysztof Kuczera United States
Richard M. Venable United States
Dzung T. Nguyen United States
Swami Swaminathan United States
Laxmikant V. Kalé United States
Huan‐Xiang Zhou United States
Donald Bashford United States
Lennart Nilsson Sweden
Stephen W. Michnick Canada
David J. States relative to Robert D. Skeel United States Robert D. Skeel's profile →
Citations per field
00.5×1.5×2.2×
Robert D. Skeel · 1×
Citations per year

Countries citing papers authored by David J. States

Since Specialization
Citations

This map shows the geographic impact of David J. 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 J. 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 J. States more than expected).

Fields of papers citing papers by David J. States

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. 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 J. States. The network helps show where David J. States may publish in the future.

Co-authors

The 25 scholars most cited alongside David J. States, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David J. States Line = papers co-authored together David J. States links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CHARMM : A program for macromolecular energy, minimization, and dynamics calculations
Hit paper breakdown →
198313541
2
A two-dimensional nuclear overhauser experiment with pure absorption phase in four quadrants
Hit paper breakdown →
19822429
3
Identification of protein coding regions by database similarity search
Hit paper breakdown →
19931437
4
Overview of the HUPO Plasma Proteome Project: Results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly‐available database
Hit paper breakdown →
2005682
5 2006289
6 1992209
7 2010207
8 2006190
9 1989188
10 2008137
11 1988129
12 1994111
13 2008111
14 2006108
15 1993107
16 201498
17 198789
18 200087
19 198779
20 200974

About David J. States

David J. States is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Oncology and Artificial Intelligence, having authored 80 papers that have together received 21.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), Machine Learning in Bioinformatics (19 papers), RNA and protein synthesis mechanisms (14 papers), Advanced Proteomics Techniques and Applications (12 papers), Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (9 papers), Protein Structure and Dynamics (9 papers) and Gene Regulatory Network Analysis (7 papers). The work is most often cited by research in Spectroscopy (3.7k citations), Molecular Biology (14.4k citations), Physical and Theoretical Chemistry (764 citations), Atomic and Molecular Physics, and Optics (2.7k citations) and Materials Chemistry (3.8k citations). David J. States has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Martin Karplus, Bernard R. Brooks, Barry D. Olafson, Swami Swaminathan, Robert E. Bruccoleri, Ronald A. Haberkorn, David J. Ruben, Warren R. Gish, Thomas W. Blackwell and Timothy Francis Walseth. Their work appears in journals such as Bioinformatics, Journal of Molecular Biology, PROTEOMICS, Journal of Bioinformatics and Computational Biology and Proceedings of the National Academy of Sciences.

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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