Frank Wien

6.7k total citations · 3 hit papers
112 papers, 4.9k citations indexed

About

Frank Wien is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Frank Wien has authored 112 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 22 papers in Genetics and 22 papers in Materials Chemistry. Recurrent topics in Frank Wien's work include Protein Structure and Dynamics (30 papers), RNA and protein synthesis mechanisms (25 papers) and Enzyme Structure and Function (21 papers). Frank Wien is often cited by papers focused on Protein Structure and Dynamics (30 papers), RNA and protein synthesis mechanisms (25 papers) and Enzyme Structure and Function (21 papers). Frank Wien collaborates with scholars based in France, United Kingdom and Poland. Frank Wien's co-authors include Matthieu Réfrégiers, József Kardos, András Micsonai, Yuji Goto, Young‐Ho Lee, B.A. Wallace, Jonathan Lees, Andrew Miles, Éva Moussong and Judit Kun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Frank Wien

109 papers receiving 4.8k citations

Hit Papers

Accurate secondary structure prediction and fold recognit... 2015 2026 2018 2022 2015 2018 2022 400 800 1.2k

Peers

Frank Wien
Comparison fields: 5 of 144
  • Molecular Biology 3.1k
  • Materials Chemistry 768
  • Genetics 494
  • Biomaterials 474
  • Physiology 439
Replace Lee Whitmore with:
Lee Whitmore United Kingdom
Sarah Rauscher Canada
Haydyn D. T. Mertens Germany
József Kardos Hungary
Vidyashankara Iyer United States
Narasimha Sreerama United States
Gerald R. Grimsley United States
Grzegorz Nawrocki United States
Alexey Kikhney Germany
Xi Cheng China
Lee Whitmore United Kingdom View profile →
Citations per field, relative to Frank Wien
Frank Wien · 1×
Citations per year, relative to Frank Wien
Frank Wien · 1×

Countries citing papers authored by Frank Wien

Since Specialization
Citations

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

Fields of papers citing papers by Frank Wien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Wien

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Wien. A scholar is included among the top collaborators of Frank Wien based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank Wien. Frank Wien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 11
3 5
4 0
5 2
6 1
7 13
8 9
9 2
10 15
11 19
12
BeStSel: webserver for secondary structure and fold prediction for protein CD spectroscopy breakdown →
237
13 9
14 5
15 16
16 15
17 1
18
Accurate secondary structure prediction and fold recognition for circular dichroism spectroscopy breakdown →
1292
19 33
20 5

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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