Thierry Langer

242 papers receiving 9.8k citations

Thierry Langer's Hit Papers

A compact review of molecular property prediction with graph neural networks 2020 · 335 citations
3350+7+14Years since publication50010001.5k

Peers

Thierry Langer
Comparison fields: 5 of 167
  • Computational Theory and Mathematics 3.6k
  • Organic Chemistry 2.9k
  • Pharmacology 784
  • Pharmacology 1.3k
  • Toxicology 247
Replace Gabriele Cruciani with:
Gabriele Cruciani Italy
Kaixian Chen China
Weiliang Zhu China
Stefano Forli United States
Keith W. Ward United States
Gerhard Wolber Germany
Brian R. Smith United States
Daniel T. Mainz United States
György M. Keserű Hungary
Hung‐Yuan Cheng United Kingdom
Thierry Langer relative to Gabriele Cruciani Italy Gabriele Cruciani's profile →
Citations per field
00.5×1.5×
Gabriele Cruciani · 1×
Citations per year

Countries citing papers authored by Thierry Langer

Since Specialization
Citations

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

Fields of papers citing papers by Thierry Langer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 253 papers — load more, or switch the sort, to bring in the rest.

#Work
1
LigandScout:  3-D Pharmacophores Derived from Protein-Bound Ligands and Their Use as Virtual Screening Filters
Hit paper breakdown →
20041515
2 2008342
3
A compact review of molecular property prediction with graph neural networks
Hit paper breakdown →
2020335
4 2012321
5 2005285
6 2006245
7 2004167
8 2005148
9 2006122
10 2007117
11 2006116
12 2017112
13 2005110
14 2005107
15 2007103
16 200598
17 200892
18 201689
19 200688
20 200986

About Thierry Langer

Thierry Langer is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Cellular and Molecular Neuroscience, having authored 253 papers that have together received 10.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (99 papers), Receptor Mechanisms and Signaling (32 papers), Chemical Synthesis and Analysis (27 papers), Protein Structure and Dynamics (20 papers), Synthesis and biological activity (19 papers), Synthesis and Biological Evaluation (18 papers), Neuroscience and Neuropharmacology Research (17 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). The work is most often cited by research in Computational Theory and Mathematics (3.6k citations), Organic Chemistry (2.9k citations), Pharmacology (784 citations), Pharmacology (1.3k citations) and Toxicology (247 citations). Thierry Langer has collaborated with scholars based in Austria, Italy and United States. Frequent co-authors include Gerhard Wolber, Christian Laggner, Daniela Schuster, Johannes Kirchmair, Theodora M. Steindl, Judith M. Rollinger, Thomas Seidel, Hermann Stuppner, Vittorio Pace and Patrick Markt. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Bioorganic & Medicinal Chemistry, Journal of Computer-Aided Molecular Design and International Journal of Molecular Sciences.

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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