A. Metz

2.8k total citations
54 papers, 854 citations indexed

About

A. Metz is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Materials Chemistry. According to data from OpenAlex, A. Metz has authored 54 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 22 papers in Nuclear and High Energy Physics and 20 papers in Materials Chemistry. Recurrent topics in A. Metz's work include Nuclear physics research studies (20 papers), Enzyme Structure and Function (17 papers) and Protein Structure and Dynamics (12 papers). A. Metz is often cited by papers focused on Nuclear physics research studies (20 papers), Enzyme Structure and Function (17 papers) and Protein Structure and Dynamics (12 papers). A. Metz collaborates with scholars based in Germany, Switzerland and United States. A. Metz's co-authors include Holger Gohlke, G. Graw, Y. Eisermann, G. Klebe, A. Heine, Christopher Pfleger, Karl‐Heinz Baringhaus, Stefania Pfeiffer‐Marek, R. Hertenberger and M.S. Weiss and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

A. Metz

53 papers receiving 849 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Metz Germany 17 412 291 186 159 147 54 854
Yasushige Yonezawa Japan 16 579 1.4× 97 0.3× 225 1.2× 228 1.4× 63 0.4× 54 915
W. F. van Gunsteren Netherlands 11 362 0.9× 115 0.4× 174 0.9× 221 1.4× 18 0.1× 13 597
Johan �Qvist Sweden 15 694 1.7× 93 0.3× 376 2.0× 556 3.5× 76 0.5× 16 1.4k
J. Junker Germany 17 428 1.0× 94 0.3× 101 0.5× 48 0.3× 76 0.5× 43 858
Takekazu Ishida Japan 23 299 0.7× 45 0.2× 234 1.3× 581 3.7× 27 0.2× 264 2.3k
Grzegorz Łach Poland 15 437 1.1× 40 0.1× 95 0.5× 647 4.1× 39 0.3× 28 1.3k
Liao Y. Chen United States 22 431 1.0× 71 0.2× 186 1.0× 790 5.0× 49 0.3× 99 1.5k
Michael Salzmann Germany 17 952 2.3× 269 0.9× 412 2.2× 392 2.5× 25 0.2× 33 1.8k
Xibin Zhou China 21 564 1.4× 275 0.9× 87 0.5× 1.3k 8.4× 90 0.6× 45 2.2k
Y. Shimizu Japan 32 453 1.1× 553 1.9× 93 0.5× 451 2.8× 12 0.1× 136 3.2k

Countries citing papers authored by A. Metz

Since Specialization
Citations

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

Fields of papers citing papers by A. Metz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Metz

This figure shows the co-authorship network connecting the top 25 collaborators of A. Metz. A scholar is included among the top collaborators of A. Metz 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 A. Metz. A. Metz 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
1.
Rudolph, M.G., J. Benz, Bernd Kuhn, et al.. (2025). The CASP 16 Experimental Protein–Ligand Datasets. Proteins Structure Function and Bioinformatics. 94(1). 79–85. 1 indexed citations
2.
Metz, A., et al.. (2025). Natural Product-like Fragments Unlock Novel Chemotypes for a Kinase Target─Exploring Options beyond the Flatland. Journal of Chemical Information and Modeling. 66(4). 2249–2267.
3.
Huang, Chia‐Ying, A. Metz, Roland Lange, et al.. (2024). Fragment-based screening targeting an open form of the SARS-CoV-2 main protease binding pocket. Acta Crystallographica Section D Structural Biology. 80(2). 123–136. 8 indexed citations
4.
Metz, A., Ezequiel Panepucci, Chia‐Ying Huang, et al.. (2024). HEIDI: an experiment-management platform enabling high-throughput fragment and compound screening. Acta Crystallographica Section D Structural Biology. 80(5). 328–335. 1 indexed citations
5.
Huang, Chia‐Ying, Sylvain Aumonier, Sylvain Engilberge, et al.. (2022). Probing ligand binding of endothiapepsin by `temperature-resolved' macromolecular crystallography. Acta Crystallographica Section D Structural Biology. 78(8). 964–974. 10 indexed citations
6.
Xie, Xiulan, A. Metz, Vitalii A. Palchykov, et al.. (2021). Targeting a Cryptic Pocket in a Protein–Protein Contact by Disulfide-Induced Rupture of a Homodimeric Interface. ACS Chemical Biology. 16(6). 1090–1098. 1 indexed citations
7.
Metz, A., J. Wollenhaupt, Hans‐Dieter Gerber, et al.. (2021). Frag4Lead: growing crystallographic fragment hits by catalog using fragment-guided template docking. Acta Crystallographica Section D Structural Biology. 77(9). 1168–1182. 10 indexed citations
8.
Wollenhaupt, J., G.M.A. Lima, A. Metz, et al.. (2021). Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin. Journal of Visualized Experiments. 10 indexed citations
9.
Wollenhaupt, J., A. Metz, G.M.A. Lima, et al.. (2020). F2X-Universal and F2X-Entry: Structurally Diverse Compound Libraries for Crystallographic Fragment Screening. Structure. 28(6). 694–706.e5. 31 indexed citations
10.
Wulsdorf, Tobias, A. Metz, Radim Hrdina, et al.. (2019). Diamondoid Amino Acid‐Based Peptide Kinase A Inhibitor Analogues. ChemMedChem. 14(6). 663–672. 6 indexed citations
11.
12.
Huschmann, Franziska U., Karine Sparta, Monika Ühlein, et al.. (2016). Structures of endothiapepsin–fragment complexes from crystallographic fragment screening using a novel, diverse and affordable 96-compound fragment library. Acta Crystallographica Section F Structural Biology Communications. 72(5). 346–355. 26 indexed citations
13.
Schiebel, J., Nedyalka Radeva, Helene Köster, et al.. (2015). One Question, Multiple Answers: Biochemical and Biophysical Screening Methods Retrieve Deviating Fragment Hit Lists. ChemMedChem. 10(9). 1511–1521. 52 indexed citations
14.
Saal, Christoph, Marie Lange, Christian Collins Kuehn, et al.. (2015). Cilengitide – Exceptional pseudopolymorphism of a cyclic pentapeptide. European Journal of Pharmaceutical Sciences. 71. 1–11. 4 indexed citations
15.
Metz, A., et al.. (2012). Modulating Protein-Protein Interactions: From Structural Determinants of Binding to Druggability Prediction to Application. Current Pharmaceutical Design. 18(30). 4630–4647. 45 indexed citations
16.
Bacchetta, Alessandro, et al.. (2002). Estimate of the Collins function in a chiral invariant approach. Acta Physica Polonica B. 33(11). 3761–3766. 1 indexed citations
17.
Metz, A.. (2002). Violation of Universality in Spin-Dependent Fragmentation. arXiv (Cornell University). 1 indexed citations
18.
Wadepohl, Hubert, A. Metz, & Hans Pritzkow. (2002). Cyclopentadienylrhodium Coordination to Alkenylarenes. Chemistry - A European Journal. 8(7). 1591–1602. 16 indexed citations
19.
Krasznahorkay, A., D. Habs, M. Hunyadi, et al.. (2001). Superdeformation, hyperdeformation and clustering in the actinide region. Acta Physica Polonica B. 32(3). 657–667. 2 indexed citations
20.
Hunyadi, M., M. Csatlós, Y. Eisermann, et al.. (1999). Hyperdeformed Rotational Bands in 234 U. Acta Physica Polonica B. 30(5). 1467. 1 indexed citations

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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