Matthias Buck

7.3k total citations · 2 hit papers
141 papers, 5.2k citations indexed

About

Matthias Buck is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Matthias Buck has authored 141 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 32 papers in Cellular and Molecular Neuroscience and 31 papers in Cell Biology. Recurrent topics in Matthias Buck's work include Protein Structure and Dynamics (39 papers), Axon Guidance and Neuronal Signaling (29 papers) and Enzyme Structure and Function (24 papers). Matthias Buck is often cited by papers focused on Protein Structure and Dynamics (39 papers), Axon Guidance and Neuronal Signaling (29 papers) and Enzyme Structure and Function (24 papers). Matthias Buck collaborates with scholars based in United States, Canada and United Kingdom. Matthias Buck's co-authors include C.M. Hamilton, Sheena E. Radford, Christopher M. Dobson, Harald Schwalbe, Christopher M. Dobson, Prasanta Kumar Hota, Zhenlu Li, Liqun Zhang, Lorna J. Smith and Martin Karplus and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthias Buck

136 papers receiving 5.0k citations

Hit Papers

Trifluoroethanol and colleagues: cosolvents come of age. ... 1998 2026 2007 2016 1998 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Buck United States 36 3.5k 1.2k 829 797 670 141 5.2k
J.M. Guss Australia 42 4.6k 1.3× 1.0k 0.9× 811 1.0× 396 0.5× 432 0.6× 154 6.9k
Brian F. Volkman United States 52 5.3k 1.5× 810 0.7× 963 1.2× 436 0.5× 497 0.7× 226 8.4k
Paul C. Driscoll United Kingdom 49 7.3k 2.1× 1.1k 1.0× 1.4k 1.7× 709 0.9× 1.0k 1.5× 147 10.2k
John F. McDonald United States 53 4.9k 1.4× 424 0.4× 804 1.0× 293 0.4× 315 0.5× 190 9.2k
Lars‐Oliver Essen Germany 49 6.1k 1.8× 1.0k 0.9× 571 0.7× 2.7k 3.3× 231 0.3× 174 8.7k
Carola Hunte Germany 41 5.6k 1.6× 444 0.4× 465 0.6× 502 0.6× 267 0.4× 94 6.8k
Francesc Avilés Spain 52 7.1k 2.0× 1.3k 1.1× 903 1.1× 739 0.9× 455 0.7× 266 9.9k
Paul M. G. Curmi Australia 48 5.2k 1.5× 708 0.6× 519 0.6× 993 1.2× 558 0.8× 144 7.8k
Martin Billeter Switzerland 8 6.0k 1.7× 1.5k 1.2× 698 0.8× 391 0.5× 518 0.8× 12 7.1k
Robert Robinson Singapore 41 3.5k 1.0× 449 0.4× 1.9k 2.3× 432 0.5× 195 0.3× 235 6.7k

Countries citing papers authored by Matthias Buck

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Buck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Buck

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Buck. A scholar is included among the top collaborators of Matthias Buck 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 Matthias Buck. Matthias Buck 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.
Du, Zhanwen, Han Wang, Chen Wu, et al.. (2025). The sequence–structure–function relationship of intrinsic ERα disorder. Nature. 638(8052). 1130–1138. 6 indexed citations
2.
Singh, Pradeep Kumar, et al.. (2024). Phosphatidylinositol 4,5-bisphosphate drives the formation of EGFR and EphA2 complexes. Science Advances. 10(49). eadl0649–eadl0649. 4 indexed citations
3.
Shi, Xiaojun, Cameron J. Herting, Yifan Ge, et al.. (2023). Time-resolved live-cell spectroscopy reveals EphA2 multimeric assembly. Science. 382(6674). 1042–1050. 22 indexed citations
5.
Bruchez, Anna, Zhenlu Li, Zhonghua Liu, et al.. (2022). Trimeric receptor-binding domain of SARS-CoV-2 acts as a potent inhibitor of ACE2 receptor-mediated viral entry. iScience. 25(8). 104716–104716. 9 indexed citations
6.
Zhang, Liqun, Santosh K. Ghosh, Yinghua Chen, et al.. (2022). HBD-2 binds SARS-CoV-2 RBD and blocks viral entry: Strategy to combat COVID-19. iScience. 25(3). 103856–103856. 28 indexed citations
7.
Parker, Jillian A., Jean K. Chung, Zhenlu Li, et al.. (2021). Raf promotes dimerization of the Ras G-domain with increased allosteric connections. Proceedings of the National Academy of Sciences. 118(10). 40 indexed citations
8.
Mahajan, Mukesh, Bin Lü, Abhishek Mandal, et al.. (2021). NMR identification of a conserved Drp1 cardiolipin-binding motif essential for stress-induced mitochondrial fission. Proceedings of the National Academy of Sciences. 118(29). 39 indexed citations
9.
Jing, Hao, et al.. (2021). Interactions between semaphorins and plexin–neuropilin receptor complexes in the membranes of live cells. Journal of Biological Chemistry. 297(2). 100965–100965. 12 indexed citations
10.
Shi, Xiaojun, Vera Hapiak, Ji Zheng, et al.. (2017). SAM Domain Inhibits Oligomerization and Auto-Activation of EphA2 Kinase. Biophysical Journal. 112(3). 27a–27a. 1 indexed citations
11.
Buck, Matthias, et al.. (2016). Coexistence of Cerceris fumipennis and Cerceris nigrescens colonies in Merritt, BC. Biodiversity Heritage Library (Smithsonian Institution). 112. 92–95. 1 indexed citations
12.
Buck, Matthias. (2013). Sphaeroceridae (Diptera) reared from various types of carrion and other decaying substrates in southern Germany, including new faunistic data on some rarely collected species.. European Journal of Entomology. 94(1). 137–151. 7 indexed citations
13.
Zhang, Liqun, Alexander J. Sodt, Richard M. Venable, Richard W. Pastor, & Matthias Buck. (2012). Prediction, refinement, and persistency of transmembrane helix dimers in lipid bilayers using implicit and explicit solvent/lipid representations: Microsecond molecular dynamics simulations of ErbB1/B2 and EphA1. Proteins Structure Function and Bioinformatics. 81(3). 365–376. 20 indexed citations
14.
López-Arroyo, J. Isabel, et al.. (2011). First Report of a Predaceous Wasp Attacking Nymphs ofDiaphorinacitri(Hemiptera: Psyllidae), Vector of Hlb. Florida Entomologist. 94(4). 1075–1077. 5 indexed citations
15.
Jun, Gyungah, Hong Guo, Ronald Klein, et al.. (2009). EPHA2 Is Associated with Age-Related Cortical Cataract in Mice and Humans. PLoS Genetics. 5(7). e1000584–e1000584. 119 indexed citations
16.
Tong, Yufeng, Preeti Chugha, Prasanta Kumar Hota, et al.. (2007). Binding of Rac1, Rnd1, and RhoD to a Novel Rho GTPase Interaction Motif Destabilizes Dimerization of the Plexin-B1 Effector Domain. Journal of Biological Chemistry. 282(51). 37215–37224. 113 indexed citations
18.
Buck, Matthias. (2006). REVIEW OF THE CANADIAN SPECIES OF HOPLISOIDES (HYMENOPTERA: CRABRONIDAE) WITH REVISIONARY NOTES ON THE H. PLACIDUS SPECIES GROUP. Biodiversity Heritage Library (Smithsonian Institution). 2 indexed citations
19.
Tong, Yufeng, et al.. (2005). When Monomers Are Preferred: A Strategy for the Identification and Disruption of Weakly Oligomerized Proteins. Structure. 13(1). 7–15. 30 indexed citations
20.
Buck, Matthias. (2003). Crystallography. Structure. 11(7). 735–736. 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026