David W. Deerfield

3.6k citations
51 papers · 3.2k indexed · 1 hit paper · h-index 18
Topics
Protein Structure and Dynamics (6 papers)Molecular Sensors and Ion Detection (5 papers)Enzyme Structure and Function (5 papers)
Partner nations
United StatesFranceSpain

In The Last Decade

David W. Deerfield

50 papers receiving 3.1k citations

Hit Papers

GeneDoc: analysis and visualization of genetic variation1997202620062016199750010001.5k2.0k

Peers

David W. Deerfield
Comparison fields: 5 of 156
  • Molecular Biology 1.5k
  • Plant Science 775
  • Genetics 292
  • Ecology 291
  • Epidemiology 261
Replace Hugh B. Nicholas with:
Hugh B. Nicholas United States
Silvano Squizzato United Kingdom
Joon Lee South Korea
Jack A. M. Leunissen Netherlands
Christian J A Sigrist Switzerland
Jean‐Charles Sanchez Switzerland
Ron D. Appel Switzerland
C. Geourjon France
Tamer Gür United Kingdom
Jaap Heringa Netherlands
David W. Deerfield relative to Hugh B. Nicholas United States Hugh B. Nicholas's profile →
Citations per field
00.5×1.6×
Hugh B. Nicholas · 1×
Citations per year

Countries citing papers authored by David W. Deerfield

Since Specialization
Citations

This map shows the geographic impact of David W. Deerfield'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 W. Deerfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Deerfield more than expected).

Fields of papers citing papers by David W. Deerfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David W. Deerfield

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Deerfield. A scholar is included among the top collaborators of David W. Deerfield 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 W. Deerfield. David W. Deerfield 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
#WorkIndexed citations
1 9
2 7
3 18
4 23
5 31
6 10
7 34
8
GeneDoc : analysis and visualization of genetic variationbreakdown →
2256
9 10
10 17
11 2
12 5
13 3
14 16
15 32
16 12
17 11
18 18
19 2
20 3

About David W. Deerfield

David W. Deerfield is a scholar working on Spectroscopy, Physical and Theoretical Chemistry and Biochemistry, having authored 51 papers that have together received 3.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Molecular Sensors and Ion Detection (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Plant Science (775 citations) and Endocrinology (97 citations). David W. Deerfield has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Hugh B. Nicholas, Lee G. Pedersen, Richard G. Hiskey, Tom Darden, Michael F. Crowley, Troy Wymore, Thomas E. Cheatham, Alexander J. Ropelewski, Richard A. Caruana and Marek J. Drużdżel. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026