Shane Gonen

17 papers receiving 1.9k citations

Shane Gonen's Hit Papers

Structure of hepcidin-bound ferroportin reveals iron homeostatic mechanisms 2020 · 278 citations
2780+4+8Years since publication100200300400

Peers

Shane Gonen
Comparison fields: 5 of 101
  • Structural Biology 90
  • Biomaterials 362
  • Ecology 588
  • Molecular Biology 1.3k
  • Hematology 157
Replace Valerie A. Kickhoefer with:
Valerie A. Kickhoefer United States
Thomas Harry Sharp Netherlands
Deborah A. Willits United States
Lars O. Liepold United States
Étienne Weiss France
Monika Mariola Golas Germany
Erica Strable United States
Norman R. M. Watts United States
Pierre‐Emmanuel Milhiet France
Alessandra Luzzago Italy
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Citations per field
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Valerie A. Kickhoefer · 1×
Citations per year

Countries citing papers authored by Shane Gonen

Since Specialization
Citations

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

Fields of papers citing papers by Shane Gonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Accurate design of co-assembling multi-component protein nanomaterials
Hit paper breakdown →
2014483
2
Accurate design of megadalton-scale two-component icosahedral protein complexes
Hit paper breakdown →
2016477
3 2016367
4
Structure of hepcidin-bound ferroportin reveals iron homeostatic mechanisms
Hit paper breakdown →
2020278
5 2015204
6 201876
7 201268
8 201528
9 20207
10 20225
11 20254
12 20243
13 20252
14 20241
15 20261
16 20251
17 20261

About Shane Gonen

Shane Gonen is a scholar working on Structural Biology, Ecology, Surfaces, Coatings and Films, Molecular Biology and Microbiology, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (8 papers), RNA and protein synthesis mechanisms (6 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Electron and X-Ray Spectroscopy Techniques (3 papers), Neurobiology and Insect Physiology Research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nicotinic Acetylcholine Receptors Study (1 paper) and Metalloenzymes and iron-sulfur proteins (1 paper). The work is most often cited by research in Structural Biology (90 citations), Biomaterials (362 citations), Ecology (588 citations), Molecular Biology (1.3k citations) and Hematology (157 citations). Shane Gonen has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Tamir Gonen, David Baker, Jacob B. Bale, Neil P. King, William Sheffler, Todd O. Yeates, Yuxi Liu, Dan E. McNamara, Frank DiMaio and Duilio Cascio. Their work appears in journals such as Nature, Science, International Journal of Molecular Sciences, Antimicrobial Agents and Chemotherapy and Nature Catalysis.

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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