Gerald Stubbs

93 papers receiving 5.1k citations

Gerald Stubbs's Hit Papers

Solid-state NMR structure of a pathogenic fibril of full-length human α-synuclein 2016 · 795 citations
7950+9+18Years since publication250500750

Peers

Gerald Stubbs
Comparison fields: 5 of 134
  • Structural Biology 162
  • Endocrinology 298
  • Ecology 1.5k
  • Biomaterials 658
  • Plant Science 1.4k
Replace Martha N. Simon with:
Martha N. Simon United States
Joseph S. Wall United States
Neil A. Ranson United Kingdom
José Valpuesta Spain
Elena V. Orlova United Kingdom
Shirley A. Müller Switzerland
Haydyn D. T. Mertens Germany
Lee Makowski United States
Lukas K. Tamm United States
Fumio Arisaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gerald Stubbs

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Stubbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald Stubbs. 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 Gerald Stubbs. The network helps show where Gerald Stubbs may publish in the future.

Co-authors

The 25 scholars most cited alongside Gerald Stubbs, 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 Gerald Stubbs Line = papers co-authored together Gerald Stubbs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Solid-state NMR structure of a pathogenic fibril of full-length human α-synuclein
Hit paper breakdown →
2016795
2
Inorganic-Organic Nanotube Composites from Template Mineralization of Tobacco Mosaic Virus
Hit paper breakdown →
1999568
3 2003483
4 1989360
5 1986270
6 1977192
7 2001173
8 2009167
9 2014157
10 198990
11 200890
12 200881
13 199672
14 198770
15 199565
16 199864
17 197563
18 200260
19 199459
20 199259

About Gerald Stubbs

Gerald Stubbs is a scholar working on Plant Science, Ecology, Molecular Biology, Physiology and Endocrinology, having authored 93 papers that have together received 5.1k indexed citations. Recurring topics across this work include Plant Virus Research Studies (43 papers), Bacteriophages and microbial interactions (35 papers), Prion Diseases and Protein Misfolding (13 papers), Alzheimer's disease research and treatments (11 papers), Plant and Fungal Interactions Research (10 papers), Plant Disease Resistance and Genetics (10 papers), Enzyme Structure and Function (9 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Structural Biology (162 citations), Endocrinology (298 citations), Ecology (1.5k citations), Biomaterials (658 citations) and Plant Science (1.4k citations). Gerald Stubbs has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Keiichi Namba, Stephen Mann, James N. Culver, Wayne Shenton, Amy Kendall, Rekha Pattanayek, Mark Young, Trevor Douglas, William Wan and Erik Dujardin. Their work appears in journals such as Journal of Molecular Biology, Virology, Biophysical Journal, Journal of Applied Crystallography 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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