Birte Höcker

3.7k total citations · 2 hit papers
69 papers, 2.4k citations indexed

About

Birte Höcker is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Birte Höcker has authored 69 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 28 papers in Materials Chemistry and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Birte Höcker's work include Protein Structure and Dynamics (31 papers), Enzyme Structure and Function (26 papers) and RNA and protein synthesis mechanisms (21 papers). Birte Höcker is often cited by papers focused on Protein Structure and Dynamics (31 papers), Enzyme Structure and Function (26 papers) and RNA and protein synthesis mechanisms (21 papers). Birte Höcker collaborates with scholars based in Germany, United States and United Kingdom. Birte Höcker's co-authors include Noelia Ferruz, Reinhard Sterner, Steffen Schmidt, S. Shanmugaratnam, Simone Eisenbeis, D. Alejandro Fernández‐Velasco, David Baker, Po‐Ssu Huang, Fabio Parmeggiani and Matthias Wilmanns and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Birte Höcker

68 papers receiving 2.4k citations

Hit Papers

ProtGPT2 is a deep unsupervise... 2015 2026 2018 2022 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Birte Höcker Germany 28 2.0k 730 175 171 148 69 2.4k
Gustav Oberdorfer Austria 18 1.2k 0.6× 408 0.6× 184 1.1× 67 0.4× 83 0.6× 37 1.7k
Antonín Pavelka Czechia 10 1.9k 1.0× 386 0.5× 143 0.8× 113 0.7× 45 0.3× 15 2.6k
Asim K. Bera United States 21 1.3k 0.7× 244 0.3× 125 0.7× 76 0.4× 98 0.7× 66 1.8k
Saul Treviño United States 10 1.2k 0.6× 364 0.5× 95 0.5× 127 0.7× 111 0.8× 11 1.7k
Hideo Nakano Japan 28 1.8k 0.9× 223 0.3× 90 0.5× 298 1.7× 366 2.5× 174 2.6k
Jan Štourač Czechia 16 1.6k 0.8× 250 0.3× 111 0.6× 195 1.1× 43 0.3× 26 2.2k
Bret A. Shirley United States 11 1.4k 0.7× 563 0.8× 120 0.7× 116 0.7× 71 0.5× 11 1.9k
Harumi Fukada Japan 22 1.3k 0.7× 246 0.3× 94 0.5× 285 1.7× 219 1.5× 65 1.8k
Roberto A. Chica Canada 20 1.2k 0.6× 334 0.5× 124 0.7× 108 0.6× 69 0.5× 42 1.5k
Christopher R. Otey United States 12 1.5k 0.7× 241 0.3× 125 0.7× 134 0.8× 147 1.0× 15 1.9k

Countries citing papers authored by Birte Höcker

Since Specialization
Citations

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

Fields of papers citing papers by Birte Höcker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Birte Höcker

This figure shows the co-authorship network connecting the top 25 collaborators of Birte Höcker. A scholar is included among the top collaborators of Birte Höcker 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 Birte Höcker. Birte Höcker 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.
Herzig, Eva M., et al.. (2025). Degradation Behavior of Aliphatic–Aromatic Polyesters: from Microplastic-free Composting to Enzyme-Driven Recycling Possibility. ACS Applied Polymer Materials. 7(7). 4596–4608. 2 indexed citations
2.
Shanmugaratnam, S., et al.. (2024). Diversifying de novoTIM barrels by hallucination. Protein Science. 33(6). e5001–e5001. 2 indexed citations
3.
Höcker, Birte, Peilong Lu, Anum Glasgow, et al.. (2023). How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?. Cell Systems. 14(8). 629–632. 1 indexed citations
4.
Höcker, Birte, et al.. (2022). ATLIGATOR: editing protein interactions with an atlas-based approach. Bioinformatics. 38(23). 5199–5205. 1 indexed citations
5.
Pérez-García, Pablo, et al.. (2022). Investigation of the halophilic PET hydrolase PET6 from Vibrio gazogenes. Protein Science. 31(12). e4500–e4500. 17 indexed citations
6.
Rhys, Guto G., Jessica A. Cross, William Dawson, et al.. (2022). De novo designed peptides for cellular delivery and subcellular localisation. Nature Chemical Biology. 18(9). 999–1004. 24 indexed citations
7.
Ferruz, Noelia, Steffen Schmidt, & Birte Höcker. (2022). ProtGPT2 is a deep unsupervised language model for protein design. Nature Communications. 13(1). 4348–4348. 348 indexed citations breakdown →
8.
Stiel, André C., Martina Kolb, S. Shanmugaratnam, et al.. (2021). A biosensor for the direct visualization of auxin. Nature. 592(7856). 768–772. 125 indexed citations
9.
Ferruz, Noelia, et al.. (2021). Protlego: a Python package for the analysis and design of chimeric proteins. Bioinformatics. 37(19). 3182–3189. 14 indexed citations
10.
Höcker, Birte, et al.. (2021). A newly introduced salt bridge cluster improves structural and biophysical properties of de novoTIM barrels. Protein Science. 31(2). 513–527. 12 indexed citations
11.
Shanmugaratnam, S., et al.. (2021). A comprehensive binding study illustrates ligand recognition in the periplasmic binding protein PotF. Structure. 29(5). 433–443.e4. 11 indexed citations
12.
Höcker, Birte, et al.. (2013). Design of Chimeric Proteins by Combination of Subdomain-Sized Fragments. Methods in enzymology on CD-ROM/Methods in enzymology. 523. 389–405. 4 indexed citations
13.
Scheib, U., et al.. (2013). Change in protein-ligand specificity through binding pocket grafting. Journal of Structural Biology. 185(2). 186–192. 17 indexed citations
14.
Wiesner, Silke, et al.. (2009). Computational design of ligand binding is not a solved problem. Proceedings of the National Academy of Sciences. 106(44). 18491–18496. 75 indexed citations
15.
Höcker, Birte, et al.. (2009). Establishing wild-type levels of catalytic activity on natural and artificial (βα) 8 -barrel protein scaffolds. Proceedings of the National Academy of Sciences. 106(10). 3704–3709. 59 indexed citations
16.
Bharat, Tanmay A. M., Simone Eisenbeis, Kornelius Zeth, & Birte Höcker. (2008). A βα-barrel built by the combination of fragments from different folds. Proceedings of the National Academy of Sciences. 105(29). 9942–9947. 53 indexed citations
17.
Cuneo, M.J., et al.. (2007). Structure‐based design of robust glucose biosensors using a Thermotoga maritima periplasmic glucose‐binding protein. Protein Science. 16(10). 2240–2250. 36 indexed citations
18.
Sterner, Reinhard & Birte Höcker. (2005). Catalytic Versatility, Stability, and Evolution of the (βα) 8 -Barrel Enzyme Fold. Chemical Reviews. 105(11). 4038–4055. 163 indexed citations
19.
Höcker, Birte, et al.. (2004). Mimicking enzyme evolution by generating new (βα) 8 -barrels from (βα) 4 -half-barrels. Proceedings of the National Academy of Sciences. 101(47). 16448–16453. 89 indexed citations
20.
Höcker, Birte, Steffen Schmidt, & Reinhard Sterner. (2001). A common evolutionary origin of two elementary enzyme folds. FEBS Letters. 510(3). 133–135. 35 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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