David M. Byers

3.8k citations
107 papers · 3.1k indexed · h-index 28
Topics
Protein Kinase Regulation and GTPase Signaling (20 papers)Neuroscience and Neuropharmacology Research (11 papers)Lysosomal Storage Disorders Research (10 papers)

In The Last Decade

David M. Byers

105 papers receiving 3.0k citations

Peers

David M. Byers
Comparison fields: 5 of 129
  • Molecular Biology 1.9k
  • Cellular and Molecular Neuroscience 572
  • Cell Biology 544
  • Physiology 422
  • Immunology 356
Replace Judy L. Meinkoth with:
Judy L. Meinkoth United States
Magda Puype Belgium
Luca Pellegrini Canada
Arieh A. Katz South Africa
Robert J. Deschenes United States
Vito De Pinto Italy
Masahiro Fujimuro Japan
Haining Zhu United States
M I Simon United States
Jerome Schaack United States
David M. Byers relative to Judy L. Meinkoth United States Judy L. Meinkoth's profile →
Citations per field
00.5×1.5×
Judy L. Meinkoth · 1×
Citations per year

Countries citing papers authored by David M. Byers

Since Specialization
Citations

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

Fields of papers citing papers by David M. Byers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Byers

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Byers. A scholar is included among the top collaborators of David M. Byers 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 M. Byers. David M. Byers 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 7
2 32
3 6
4 80
5 43
6 19
7 46
8 24
9 9
10 1
11 80
12 5
13 26
14 7
15 16
16 8
17 12
18 28
19 90
20 67

About David M. Byers

David M. Byers is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 107 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (20 papers), Neuroscience and Neuropharmacology Research (11 papers) and Lysosomal Storage Disorders Research (10 papers). The work is most often cited by research in Biochemistry (241 citations), Cell Biology (544 citations) and Cellular and Molecular Neuroscience (572 citations). David M. Byers has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Harold W. Cook, Neale D. Ridgway, Frederick B. Palmer, Matthew W. Spence, Huansheng Gong, Yadin Dudai, Seymour Benzer, Yuh Nung Jan, William G. Quinn and Thomas A. Lagace. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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