David G. Donne

1.3k citations
7 papers · 1.1k indexed · 2 hit papers · h-index 5
Topics
Prion Diseases and Protein Misfolding (3 papers)Spectroscopy and Quantum Chemical Studies (2 papers)DNA and Nucleic Acid Chemistry (2 papers)
Partner nations
United States

In The Last Decade

David G. Donne

7 papers receiving 1.1k citations

Hit Papers

Structure of the recombinant full-length hamster prion pr...199720262006201619971997100200300400500

Peers

David G. Donne
Comparison fields: 5 of 55
  • Molecular Biology 1.1k
  • Nutrition and Dietetics 558
  • Neurology 526
  • Materials Chemistry 145
  • Physiology 109
Replace Michael A. Baldwin with:
Michael A. Baldwin United States
Laszlo L. P. Hosszu United Kingdom
Adrian Apetri United States
Karen J. Knaus United States
Vincent Guénebaut Germany
Sukhvir P. Mahal United States
Chih‐Yen King Taiwan
Francesco Fiorito Switzerland
Takashi Higurashi Japan
R. Sarma United States
David G. Donne relative to Michael A. Baldwin United States Michael A. Baldwin's profile →
Citations per field
00.5×
Michael A. Baldwin · 1×
Citations per year

Countries citing papers authored by David G. Donne

Since Specialization
Citations

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

Fields of papers citing papers by David G. Donne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Donne

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Donne. A scholar is included among the top collaborators of David G. Donne 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 G. Donne. David G. Donne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 151
2 17
3
Solution structure of a 142-residue recombinant prion protein corresponding to the infectious fragment of the scrapie isoformbreakdown →
382
4
Structure of the recombinant full-length hamster prion protein PrP(29–231): The N terminus is highly flexiblebreakdown →
568
5 14
6 1
7 4

About David G. Donne

David G. Donne is a scholar working on Biophysics, Neurology and Nutrition and Dietetics, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Neurology (526 citations), Nutrition and Dietetics (558 citations) and Molecular Biology (1.1k citations). David G. Donne has collaborated with scholars based in United States. Frequent co-authors include Stanley B. Prusiner, Fred E. Cohen, Thomas Leroy James, Ingrid Mehlhorn, John H. Viles, Peter E. Wright, H. Jane Dyson, Nikolai B. Ulyanov, He Liu and Shauna Farr-Jones. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry and Journal of Biomolecular NMR.

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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