Matthew C. J. Wilce

13.4k citations
206 papers · 9.2k indexed · 2 hit papers · h-index 51

Matthew C. J. Wilce

203 papers receiving 9.1k citations

Hit Papers

Emerging COVID...4511994202620042015100200300400500

Peers

Matthew C. J. Wilce
Comparison fields: 5 of 154
  • Immunology 2.0k
  • Molecular Biology 5.4k
  • Cell Biology 757
  • Endocrinology 208
  • Infectious Diseases 645
Replace Markus G. Grütter with:
Markus G. Grütter Switzerland
K. Ravi Acharya United Kingdom
Arne Skerra Germany
Karl Harlos United Kingdom
Eric Martz United States
Boštjan Kobe Australia
E.A. Stura France
Konstantin Arnold Switzerland
Rosalba Lepore Italy
M. S. Madhusudhan India
Matthew C. J. Wilce relative to Markus G. Grütter Switzerland Markus G. Grütter's profile →
Citations per field
00.5×1.5×
Markus G. Grütter · 1×
Citations per year

Countries citing papers authored by Matthew C. J. Wilce

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. J. Wilce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. J. Wilce. 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 Matthew C. J. Wilce. The network helps show where Matthew C. J. Wilce may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20226
2 20207
3
Emerging COVID-19 coronavirus: glycan shield and structure prediction of spike glycoprotein and its interaction with human CD26breakdown →
2020451
4 20200
5 20195
6 201723
7 201513
8 201518
9 201322
10 2011157
11 200932
12 200994
13 200962
14 200767
15 20052
16 20022
17 200111
18 199921
19
Structure and function of glutathione S-transferasesbreakdown →
1994539
20 19948

About Matthew C. J. Wilce

Matthew C. J. Wilce is a scholar working on Molecular Biology, Cell Biology and Biophysics, having authored 206 papers that have together received 9.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (33 papers), RNA and protein synthesis mechanisms (27 papers), RNA Research and Splicing (23 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Bacterial Genetics and Biotechnology (17 papers), RNA modifications and cancer (15 papers), Protein Structure and Dynamics (14 papers) and Biotin and Related Studies (14 papers). The work is most often cited by research in Immunology (2.0k citations), Molecular Biology (5.4k citations) and Cell Biology (757 citations). Matthew C. J. Wilce has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michael W. Parker, Jamie Rossjohn, Naveen Vankadari, Travis Beddoe, Aaron J. Oakley, James McCluskey, Andrew Rodgers, Lars Kjer‐Nielsen, Philip G. Board and James C. Whisstock. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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