Rafal Wiewiora

4.2k total citations · 1 hit paper
10 papers, 2.1k citations indexed

About

Rafal Wiewiora is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Rafal Wiewiora has authored 10 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Spectroscopy and 2 papers in Materials Chemistry. Recurrent topics in Rafal Wiewiora's work include Protein Structure and Dynamics (4 papers), Machine Learning in Materials Science (2 papers) and Protein Degradation and Inhibitors (2 papers). Rafal Wiewiora is often cited by papers focused on Protein Structure and Dynamics (4 papers), Machine Learning in Materials Science (2 papers) and Protein Degradation and Inhibitors (2 papers). Rafal Wiewiora collaborates with scholars based in United States, United Kingdom and Germany. Rafal Wiewiora's co-authors include John D. Chodera, Jason Swails, Robert T. McGibbon, Yutong Zhao, Lee‐Ping Wang, Matthew P. Harrigan, Vijay S. Pande, Peter Eastman, Andrew C. Simmonett and Chaya Stern and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biophysical Journal and Nature Chemistry.

In The Last Decade

Rafal Wiewiora

10 papers receiving 2.1k citations

Hit Papers

OpenMM 7: Rapid development of high performance algorithm... 2017 2026 2020 2023 2017 500 1000 1.5k

Peers

Rafal Wiewiora
Comparison fields: 5 of 134
  • Molecular Biology 1.5k
  • Materials Chemistry 571
  • Computational Theory and Mathematics 365
  • Atomic and Molecular Physics, and Optics 301
  • Spectroscopy 193
Replace Chaya Stern with:
Chaya Stern United States
Ramu Anandakrishnan United States
Jooyoung Lee South Korea
Yutong Zhao China
Carlos X. Hernández United States
Vytautas Gapsys Germany
M J Harvey United Kingdom
Christoph Klein United States
Rafael C. Bernardi United States
Nathalie Reuter Norway
Chaya Stern United States View profile →
Citations per field, relative to Rafal Wiewiora
Rafal Wiewiora · 1×
Citations per year, relative to Rafal Wiewiora
Rafal Wiewiora · 1×

Countries citing papers authored by Rafal Wiewiora

Since Specialization
Citations

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

Fields of papers citing papers by Rafal Wiewiora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafal Wiewiora

This figure shows the co-authorship network connecting the top 25 collaborators of Rafal Wiewiora. A scholar is included among the top collaborators of Rafal Wiewiora 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 Rafal Wiewiora. Rafal Wiewiora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 6
2 4
3 45
4 167
5 28
6 138
7 18
8 1
9
OpenMM 7: Rapid development of high performance algorithms for molecular dynamics breakdown →
1736
10 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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