David R. Boyer

3.9k citations
32 papers · 2.6k indexed · 2 hit papers · h-index 19
Topics
Alzheimer's disease research and treatments (14 papers)RNA Research and Splicing (9 papers)Protein Structure and Dynamics (8 papers)

In The Last Decade

David R. Boyer

31 papers receiving 2.6k citations

Hit Papers

Cryo-EM of full-length α-synuclein reveals fibril polymor...201820262020202320182018100200300400

Peers

David R. Boyer
Comparison fields: 5 of 106
  • Molecular Biology 1.7k
  • Physiology 1.2k
  • Neurology 766
  • Biomaterials 317
  • Materials Chemistry 316
Replace Mathew H. Horrocks with:
Mathew H. Horrocks United Kingdom
Carlos W. Bertoncini Argentina
Céline Galvagnion United Kingdom
Justin Legleiter United States
Silvia Campioni Switzerland
Dmitry Cherny Germany
Dorothea Pinotsi Switzerland
Leila M. Luheshi United Kingdom
Yue‐De Yang China
Wolfgang Hoyer Germany
David R. Boyer relative to Mathew H. Horrocks United Kingdom Mathew H. Horrocks's profile →
Citations per field
00.5×1.5×2.4×
Mathew H. Horrocks · 1×
Citations per year

Countries citing papers authored by David R. Boyer

Since Specialization
Citations

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

Fields of papers citing papers by David R. Boyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David R. Boyer

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Boyer. A scholar is included among the top collaborators of David R. Boyer 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 R. Boyer. David R. Boyer 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 3
2 4
3 2
4 6
5 117
6 57
7 137
8 52
9 78
10 43
11 53
12 180
13 47
14 1
15 67
16
Atomic structures of low-complexity protein segments reveal kinked β sheets that assemble networksbreakdown →
343
17
Cryo-EM of full-length α-synuclein reveals fibril polymorphs with a common structural kernelbreakdown →
470
18 183
19 251
20 7

About David R. Boyer

David R. Boyer is a scholar working on Structural Biology, Physiology and Molecular Biology, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), RNA Research and Splicing (9 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Neurology (766 citations), Structural Biology (67 citations) and Physiology (1.2k citations). David R. Boyer has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include M.R. Sawaya, David Eisenberg, Duilio Cascio, P. Ge, Qin Cao, José A. Rodríguez, Tamir Gonen, Kevin A. Murray, Michael P. Hughes and Binsen Li. Their work appears in journals such as Nature, Science 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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