Luca Schulz

593 total citations · 1 hit paper
9 papers, 396 citations indexed

About

Luca Schulz is a scholar working on Molecular Biology, Materials Chemistry and Neurology. According to data from OpenAlex, Luca Schulz has authored 9 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Materials Chemistry and 1 paper in Neurology. Recurrent topics in Luca Schulz's work include Microbial Metabolic Engineering and Bioproduction (4 papers), Enzyme Catalysis and Immobilization (2 papers) and Protein Structure and Dynamics (2 papers). Luca Schulz is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (4 papers), Enzyme Catalysis and Immobilization (2 papers) and Protein Structure and Dynamics (2 papers). Luca Schulz collaborates with scholars based in Germany, United States and Austria. Luca Schulz's co-authors include Tobias J. Erb, Maren Nattermann, Sarah Bierbaumer, Reinhard Zschoche, Christoph K. Winkler, Matthias Tinzl, Silvia M. Glueck, Jan Zarzycki, Georg Hochberg and Simone Prinz and has published in prestigious journals such as Science, Chemical Reviews and Nature Communications.

In The Last Decade

Luca Schulz

9 papers receiving 392 citations

Hit Papers

Enzymatic Conversion of CO2: From Natural to Artificial U... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Schulz Germany 8 238 120 61 56 46 9 396
Maren Nattermann Germany 7 185 0.8× 90 0.8× 68 1.1× 49 0.9× 48 1.0× 10 329
Sarah Bierbaumer Austria 9 175 0.7× 145 1.2× 62 1.0× 43 0.8× 40 0.9× 12 393
Byoung Wook Jeon South Korea 11 138 0.6× 84 0.7× 104 1.7× 37 0.7× 42 0.9× 17 312
Adam Okerlund United States 10 216 0.9× 87 0.7× 178 2.9× 36 0.6× 24 0.5× 12 417
Sabrina Zimmerman United States 11 578 2.4× 62 0.5× 31 0.5× 35 0.6× 27 0.6× 12 687
Ki‐Seok Yoon Japan 9 151 0.6× 240 2.0× 26 0.4× 69 1.2× 13 0.3× 28 373
Shanshan Luo Germany 6 415 1.7× 138 1.1× 289 4.7× 43 0.8× 13 0.3× 7 622
Oren Yishai Germany 7 647 2.7× 215 1.8× 237 3.9× 80 1.4× 62 1.3× 7 824
Ki-Seok Yoon Japan 14 195 0.8× 265 2.2× 25 0.4× 81 1.4× 14 0.3× 35 503
Christoph H. Hagemeier Germany 11 347 1.5× 121 1.0× 38 0.6× 145 2.6× 9 0.2× 16 559

Countries citing papers authored by Luca Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Luca Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Schulz. A scholar is included among the top collaborators of Luca Schulz 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 Luca Schulz. Luca Schulz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Schulz, Luca, Jan Zarzycki, Wieland Steinchen, Georg Hochberg, & Tobias J. Erb. (2024). Layered entrenchment maintains essentiality in the evolution of Form I Rubisco complexes. The EMBO Journal. 44(1). 269–280. 4 indexed citations
2.
Schulz, Luca, et al.. (2023). Structural insights into the iron nitrogenase complex. Nature Structural & Molecular Biology. 31(1). 150–158. 33 indexed citations
3.
Schulz, Luca, Ingmar Schuster, Nicole Paczia, et al.. (2023). Machine Learning-Supported Enzyme Engineering toward Improved CO2-Fixation of Glycolyl-CoA Carboxylase. ACS Synthetic Biology. 12(12). 3521–3530. 10 indexed citations
4.
Bierbaumer, Sarah, Maren Nattermann, Luca Schulz, et al.. (2023). Enzymatic Conversion of CO2: From Natural to Artificial Utilization. Chemical Reviews. 123(9). 5702–5754. 157 indexed citations breakdown →
5.
Vögeli, Bastian, Luca Schulz, Shivani Garg, et al.. (2022). Cell-free prototyping enables implementation of optimized reverse β-oxidation pathways in heterotrophic and autotrophic bacteria. Nature Communications. 13(1). 3058–3058. 52 indexed citations
6.
Schulz, Luca, et al.. (2022). Non-adaptive complexity and biochemical function. Current Opinion in Structural Biology. 73. 102339–102339. 18 indexed citations
7.
Schulz, Luca, Zhijun Guo, Jan Zarzycki, et al.. (2022). Evolution of increased complexity and specificity at the dawn of form I Rubiscos. Science. 378(6616). 155–160. 63 indexed citations
8.
Nattermann, Maren, Simon Burgener, Pascal Pfister, et al.. (2021). Engineering a Highly Efficient Carboligase for Synthetic One-Carbon Metabolism. ACS Catalysis. 11(9). 5396–5404. 29 indexed citations
9.
Cotton, Charles A. R., Hai He, Simon Burgener, et al.. (2020). Underground isoleucine biosynthesis pathways in E. coli. eLife. 9. 30 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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