Frank Noé

24.2k total citations · 13 hit papers
194 papers, 14.9k citations indexed

About

Frank Noé is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Frank Noé has authored 194 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Molecular Biology, 48 papers in Atomic and Molecular Physics, and Optics and 48 papers in Materials Chemistry. Recurrent topics in Frank Noé's work include Protein Structure and Dynamics (102 papers), Spectroscopy and Quantum Chemical Studies (38 papers) and Machine Learning in Materials Science (37 papers). Frank Noé is often cited by papers focused on Protein Structure and Dynamics (102 papers), Spectroscopy and Quantum Chemical Studies (38 papers) and Machine Learning in Materials Science (37 papers). Frank Noé collaborates with scholars based in Germany, United States and United Kingdom. Frank Noé's co-authors include Hao Wu, Christof Schütte, John D. Chodera, Cecilia Clementi, Gianni De Fabritiis, Christoph Wehmeyer, Nuria Plattner, Jan-Hendrik Prinz, Fabian Paul and Guillermo Pérez‐Hernández and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Frank Noé

188 papers receiving 14.7k citations

Hit Papers

Markov models of molecular kinetics: Generation and valid... 2009 2026 2014 2020 2011 2015 2017 2009 2014 250 500 750

Peers

Frank Noé
Comparison fields: 5 of 181
  • Molecular Biology 10.5k
  • Materials Chemistry 4.2k
  • Computational Theory and Mathematics 2.3k
  • Atomic and Molecular Physics, and Optics 2.2k
  • Spectroscopy 1.8k
Replace John D. Chodera with:
John D. Chodera United States
Michael R. Shirts United States
Laxmikant V. Kalé United States
Robert D. Skeel United States
Christophe Chipot France
Ron O. Dror United States
Giovanni Bussi Italy
Amedeo Caflisch Switzerland
Alessandro Laio Italy
Huan‐Xiang Zhou United States
John D. Chodera United States View profile →
Citations per field, relative to Frank Noé
Frank Noé · 1×
Citations per year, relative to Frank Noé
Frank Noé · 1×

Countries citing papers authored by Frank Noé

Since Specialization
Citations

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

Fields of papers citing papers by Frank Noé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Noé

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Noé. A scholar is included among the top collaborators of Frank Noé 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 Noé. Frank Noé 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 0
2 32
3 8
4
Predicting equilibrium distributions for molecular systems with deep learning breakdown →
59
5 15
6 14
7 20
8 41
9 45
10 40
11 9
12 27
13
Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning breakdown →
394
14 156
15 40
16 39
17
Deep Generative Markov State Models
6
18 68
19 43
20 0

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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2026