David G. Myszka

17.6k citations
133 papers · 13.2k indexed · 2 hit papers · h-index 62
Topics
Monoclonal and Polyclonal Antibodies Research (49 papers)Advanced Biosensing Techniques and Applications (27 papers)Glycosylation and Glycoproteins Research (14 papers)

In The Last Decade

David G. Myszka

132 papers receiving 12.8k citations

Hit Papers

Tsg101 and the Vacuolar Protein Sorting Pathway Are Essen...1999202620082017200119992505007501000

Peers

David G. Myszka
Comparison fields: 5 of 156
  • Molecular Biology 9.1k
  • Radiology, Nuclear Medicine and Imaging 2.9k
  • Immunology 1.8k
  • Biomedical Engineering 1.7k
  • Cell Biology 1.4k
Replace Robert Tampé with:
Robert Tampé Germany
Rebecca L. Rich United States
Stephen B. H. Kent United States
E.A. Stura France
Florian Μ. Wurm Switzerland
Roger S. Goody Germany
Martin Rosenberg United States
David R. Davies United States
Sanford M. Simon United States
Charles S. Craik United States
David G. Myszka relative to Robert Tampé Germany Robert Tampé's profile →
Citations per field
00.5×1.5×2.2×
Robert Tampé · 1×
Citations per year

Countries citing papers authored by David G. Myszka

Since Specialization
Citations

This map shows the geographic impact of David G. Myszka'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. Myszka 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. Myszka more than expected).

Fields of papers citing papers by David G. Myszka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Myszka. A scholar is included among the top collaborators of David G. Myszka 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. Myszka. David G. Myszka 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 18
2 123
3 221
4 50
5 21
6 86
7 32
8 108
9 23
10 36
11 86
12 302
13 363
14 138
15 88
16 32
17 36
18 262
19 50
20 238

About David G. Myszka

David G. Myszka is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 133 papers that have together received 13.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (49 papers), Advanced Biosensing Techniques and Applications (27 papers) and Glycosylation and Glycoproteins Research (14 papers). The work is most often cited by research in Virology (1.3k citations), Molecular Biology (9.1k citations) and Radiology, Nuclear Medicine and Imaging (2.9k citations). David G. Myszka has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Rebecca L. Rich, Thomas A. Morton, Irwin Chaiken, Cheryl L. Baird, Wesley I. Sundquist, Yihua Huang, Phinikoula S. Katsamba, Michael L. Doyle, Owen Pornillos and Hao Wu. Their work appears in journals such as Nature, Science and Cell.

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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