Scott M. Stagg

7.0k citations
75 papers · 4.8k indexed · 2 hit papers · h-index 31

Impact in

Papers in

Scott M. Stagg

70 papers receiving 4.8k citations

Hit Papers

Appion: An integrated, database-driven pipeline to facilitate EM image processing 2009 · 609 citations
60920052026201220194008001.2k

Peers

Scott M. Stagg
Comparison fields: 5 of 123
  • Structural Biology 793
  • Surfaces, Coatings and Films 439
  • Cell Biology 928
  • Molecular Biology 3.2k
  • Virology 172
Replace Gabriel C. Lander with:
Gabriel C. Lander United States
Michael F. Schmid United States
Eugene Palovcak United States
Dari Kimanius United Kingdom
Shawn Zheng United States
Alexis Rohou United States
Kliment A. Verba United States
James Pulokas United States
Anchi Cheng United States
Björn Forsberg Sweden
Scott M. Stagg relative to Gabriel C. Lander United States Gabriel C. Lander's profile →
Citations per field
00.5×1.5×
Gabriel C. Lander · 1×
Citations per year

Countries citing papers authored by Scott M. Stagg

Since Specialization
Citations

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

Fields of papers citing papers by Scott M. Stagg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Scott M. Stagg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott M. Stagg Line = papers co-authored together Scott M. Stagg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 202210
4 202129
5 202016
6 201933
7 20186
8 20188
9 201731
10 201588
11 201547
12 201419
13 2013105
14 2012143
15 200831
16 2006259
17 20058
18 2003266
19 200343
20 2002117

About Scott M. Stagg

Scott M. Stagg is a scholar working on Structural Biology, Surfaces, Coatings and Films, Cell Biology, Molecular Biology and Business and International Management, having authored 75 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (25 papers), RNA and protein synthesis mechanisms (13 papers), Electron and X-Ray Spectroscopy Techniques (13 papers), Cellular transport and secretion (12 papers), RNA modifications and cancer (10 papers), Lipid Membrane Structure and Behavior (9 papers), Virus-based gene therapy research (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). The work is most often cited by research in Structural Biology (793 citations), Surfaces, Coatings and Films (439 citations), Cell Biology (928 citations), Molecular Biology (3.2k citations) and Virology (172 citations). Scott M. Stagg has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Bridget Carragher, Clinton S. Potter, Anchi Cheng, D. Fellmann, James Pulokas, Joel Quispe, Christian Suloway, Francisco Guerra, Paul LaPointe and William E. Balch. Their work appears in journals such as Journal of Structural Biology, Journal of Molecular Biology, Cell, Microscopy and Microanalysis and Structure.

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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