Lothar Reich

1.1k total citations · 1 hit paper
7 papers, 822 citations indexed

About

Lothar Reich is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lothar Reich has authored 7 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lothar Reich's work include Protein Structure and Dynamics (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Enzyme Structure and Function (2 papers). Lothar Reich is often cited by papers focused on Protein Structure and Dynamics (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Enzyme Structure and Function (2 papers). Lothar Reich collaborates with scholars based in Germany and United States. Lothar Reich's co-authors include Thomas R. Weikl, Frank Noé, Eric Vanden‐Eijnden, Christof Schütte, Amy E. Keating, Sanjib Dutta, Vincent Xue, J.M. Jenson, Tirtha Mandal and Rolf Schmaljohann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Lothar Reich

7 papers receiving 814 citations

Hit Papers

Constructing the equilibrium ensemble of folding pathways... 2009 2026 2014 2020 2009 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
Lothar Reich Germany 7 678 197 133 129 65 7 822
Kei-ichi Okazaki Japan 16 1.1k 1.6× 349 1.8× 138 1.0× 185 1.4× 71 1.1× 28 1.2k
Martin K. Scherer Germany 3 716 1.1× 192 1.0× 108 0.8× 66 0.5× 118 1.8× 3 856
Bin W. Zhang United States 14 509 0.8× 169 0.9× 91 0.7× 146 1.1× 79 1.2× 28 659
Jorge Chahine Brazil 15 615 0.9× 267 1.4× 56 0.4× 179 1.4× 33 0.5× 38 798
J. Schlitter Germany 8 731 1.1× 227 1.2× 123 0.9× 190 1.5× 56 0.9× 12 873
Abhishek Singharoy United States 23 1.0k 1.5× 294 1.5× 108 0.8× 204 1.6× 42 0.6× 76 1.5k
Jesper Ferkinghoff‐Borg Denmark 21 1.3k 1.8× 348 1.8× 185 1.4× 114 0.9× 143 2.2× 40 1.6k
Alexey K. Mazur France 23 1.0k 1.5× 215 1.1× 149 1.1× 236 1.8× 100 1.5× 63 1.4k
Jaewoon Jung Japan 19 937 1.4× 351 1.8× 160 1.2× 259 2.0× 107 1.6× 45 1.3k
Urmi Doshi United States 17 747 1.1× 291 1.5× 97 0.7× 118 0.9× 50 0.8× 18 832

Countries citing papers authored by Lothar Reich

Since Specialization
Citations

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

Fields of papers citing papers by Lothar Reich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lothar Reich

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

All Works

7 of 7 papers shown
1.
Jenson, J.M., et al.. (2018). Peptide design by optimization on a data-parameterized protein interaction landscape. Proceedings of the National Academy of Sciences. 115(44). E10342–E10351. 41 indexed citations
2.
Reich, Lothar, Sanjib Dutta, & Amy E. Keating. (2016). Generating High-Accuracy Peptide-Binding Data in High Throughput with Yeast Surface Display and SORTCERY. Methods in molecular biology. 1414. 233–247. 10 indexed citations
3.
Yilmaz, Pelin, Michael Weiß, Lothar Reich, et al.. (2015). Identification of Habitat-Specific Biomes of Aquatic Fungal Communities Using a Comprehensive Nearly Full-Length 18S rRNA Dataset Enriched with Contextual Data. PLoS ONE. 10(7). e0134377–e0134377. 58 indexed citations
4.
Reich, Lothar, Sanjib Dutta, & Amy E. Keating. (2014). SORTCERY—A High–Throughput Method to Affinity Rank Peptide Ligands. Journal of Molecular Biology. 427(11). 2135–2150. 45 indexed citations
5.
Reich, Lothar, Marion Becker, Robert Seckler, & Thomas R. Weikl. (2009). In vivo folding efficiencies for mutants of the P22 tailspike β-helix protein correlate with predicted stability changes. Biophysical Chemistry. 141(2-3). 186–192. 6 indexed citations
6.
Noé, Frank, Christof Schütte, Eric Vanden‐Eijnden, Lothar Reich, & Thomas R. Weikl. (2009). Constructing the equilibrium ensemble of folding pathways from short off-equilibrium simulations. Proceedings of the National Academy of Sciences. 106(45). 19011–19016. 650 indexed citations breakdown →
7.
Reich, Lothar & Thomas R. Weikl. (2006). Substructural cooperativity and parallel versus sequential events during protein unfolding. Proteins Structure Function and Bioinformatics. 63(4). 1052–1058. 12 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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