William Sheffler

11.6k citations
33 papers · 4.0k indexed · 8 hit papers · h-index 24

William Sheffler

31 papers receiving 3.9k citations

Hit Papers

De novo ...342009202620142020100200300400500

Peers

William Sheffler
Comparison fields: 5 of 135
  • Structural Biology 100
  • Molecular Biology 3.1k
  • Biomaterials 547
  • Ecology 786
  • Materials Chemistry 1.0k
Replace Neil P. King with:
Neil P. King United States
Ingemar André Sweden
Min Su United States
Robert P. Rambo United States
Lynne Regan United States
Philip Bradley United States
Pehr B. Harbury United States
Bradley L. Pentelute United States
Shirley A. Müller Switzerland
Adam Round France
William Sheffler relative to Neil P. King United States Neil P. King's profile →
Citations per field
00.5×1.5×1.8×
Neil P. King · 1×
Citations per year

Countries citing papers authored by William Sheffler

Since Specialization
Citations

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

Fields of papers citing papers by William Sheffler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2
De novo design of pH-responsive self-assembling helical protein filamentsbreakdown →
202434
3 202316
4 20211
5
Design of biologically active binary protein 2D materialsbreakdown →
202186
6 202142
7 201957
8 2018116
9 201849
10 2018137
11 2018110
12
De novo design of a fluorescence-activating β-barrelbreakdown →
2018249
13 201693
14
Accurate design of co-assembling multi-component protein nanomaterialsbreakdown →
2014448
15
Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracybreakdown →
2012522
16 2011345
17 201034
18
Structure prediction for CASP8 with all‐atom refinement using Rosettabreakdown →
2009380
19 2007145
20 20054

About William Sheffler

William Sheffler is a scholar working on Structural Biology, Molecular Biology, Ecology, Materials Chemistry and Spectroscopy, having authored 33 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), RNA and protein synthesis mechanisms (10 papers), Enzyme Structure and Function (10 papers), Bacteriophages and microbial interactions (8 papers), Biochemical and Molecular Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Structural Biology (100 citations), Molecular Biology (3.1k citations), Biomaterials (547 citations), Ecology (786 citations) and Materials Chemistry (1.0k citations). William Sheffler has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include David Baker, Neil P. King, Tamir Gonen, Todd O. Yeates, Shane Gonen, Jacob B. Bale, Ingemar André, Dan E. McNamara, John P. Sumida and M.R. Sawaya. Their work appears in journals such as Nature, Science, Proteins Structure Function and Bioinformatics, Protein Science and Nature Biotechnology.

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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