Thomas Lemmin

3.4k total citations
40 papers, 1.3k citations indexed

About

Thomas Lemmin is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Thomas Lemmin has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Materials Chemistry. Recurrent topics in Thomas Lemmin's work include Protein Structure and Dynamics (15 papers), Bacterial Genetics and Biotechnology (7 papers) and Enzyme Structure and Function (5 papers). Thomas Lemmin is often cited by papers focused on Protein Structure and Dynamics (15 papers), Bacterial Genetics and Biotechnology (7 papers) and Enzyme Structure and Function (5 papers). Thomas Lemmin collaborates with scholars based in Switzerland, United States and Germany. Thomas Lemmin's co-authors include Matteo Dal Peraro, William F. DeGrado, Ce Zhang, Cinque Soto, Yibing Wu, Gijs R. van den Brink, Stanley B. Prusiner, Jan Stöhr, Asvin KK Lakkaraju and Laurence Abrami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Thomas Lemmin

39 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Lemmin Switzerland 19 862 286 170 147 142 40 1.3k
Beáta Szabó Hungary 15 1.2k 1.3× 321 1.1× 267 1.6× 159 1.1× 166 1.2× 25 1.5k
Matthias Stoldt Germany 22 997 1.2× 358 1.3× 107 0.6× 157 1.1× 65 0.5× 49 1.5k
Can Kayatekin United States 15 1.2k 1.4× 160 0.6× 242 1.4× 215 1.5× 88 0.6× 23 1.5k
Peilong Lu China 17 1.4k 1.7× 378 1.3× 210 1.2× 198 1.3× 123 0.9× 32 2.1k
Wendy Lea United States 18 1.1k 1.3× 172 0.6× 97 0.6× 177 1.2× 135 1.0× 32 1.7k
Soumya S. Ray United States 27 1.4k 1.7× 291 1.0× 272 1.6× 166 1.1× 167 1.2× 41 2.2k
Bertil Macao Sweden 17 942 1.1× 411 1.4× 63 0.4× 96 0.7× 124 0.9× 26 1.2k
Yuanli Song United States 16 917 1.1× 347 1.2× 61 0.4× 136 0.9× 63 0.4× 34 1.3k
Keith A. Oberg United States 13 960 1.1× 458 1.6× 214 1.3× 122 0.8× 62 0.4× 20 1.5k
Matthew P. Jackson United Kingdom 13 808 0.9× 592 2.1× 124 0.7× 150 1.0× 75 0.5× 18 1.6k

Countries citing papers authored by Thomas Lemmin

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lemmin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Lemmin

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Lemmin. A scholar is included among the top collaborators of Thomas Lemmin 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 Thomas Lemmin. Thomas Lemmin 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.
Mukherjee, Somnath, Julia Kowal, Lorenzo Rossi, et al.. (2025). Structural basis of drug recognition by human MATE1 transporter. Nature Communications. 16(1). 9444–9444.
2.
Lemmin, Thomas, et al.. (2024). TemBERTure: advancing protein thermostability prediction with deep learning and attention mechanisms. Bioinformatics Advances. 4(1). vbae103–vbae103. 4 indexed citations
3.
Lemmin, Thomas, et al.. (2024). Structural insights into the mechanism and dynamics of proteorhodopsin biogenesis and retinal scavenging. Nature Communications. 15(1). 6950–6950. 2 indexed citations
4.
Yuan, Jing, et al.. (2024). Atomic insights into the signaling landscape of E. coli PhoQ histidine kinase from molecular dynamics simulations. Scientific Reports. 14(1). 17659–17659. 3 indexed citations
5.
Lemmin, Thomas, et al.. (2024). BuildAMol: a versatile Python toolkit for fragment-based molecular design. Journal of Cheminformatics. 16(1). 104–104. 1 indexed citations
6.
Jeckelmann, Jean-Marc, et al.. (2024). Structure and mechanism of a phosphotransferase system glucose transporter. Nature Communications. 15(1). 7992–7992. 6 indexed citations
7.
Malengo, Gabriele, et al.. (2023). The inhibitory mechanism of a small protein reveals its role in antimicrobial peptide sensing. Proceedings of the National Academy of Sciences. 120(41). e2309607120–e2309607120. 7 indexed citations
8.
Jeckelmann, Jean-Marc, Thomas Lemmin, Martin Schlapschy, Arne Skerra, & Dimitrios Fotiadis. (2022). Structure of the human heterodimeric transporter 4F2hc-LAT2 in complex with Anticalin, an alternative binding protein for applications in single-particle cryo-EM. Scientific Reports. 12(1). 18269–18269. 6 indexed citations
9.
Aguilar, Leonel, David Dao, Nezihe Merve Gürel, et al.. (2021). Ease.ML: A Lifecycle Management System for MLDev and MLOps. Conference on Innovative Data Systems Research. 3 indexed citations
10.
Kalbermatter, David, et al.. (2021). Cryo-EM structure and dynamics of the green-light absorbing proteorhodopsin. Nature Communications. 12(1). 4107–4107. 23 indexed citations
11.
Gürel, Nezihe Merve, Kaan Kara, Tyler Smith, et al.. (2020). Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications. IEEE Transactions on Signal Processing. 68. 4268–4282. 8 indexed citations
12.
Zhang, Ce, et al.. (2020). RosENet: Improving Binding Affinity Prediction by Leveraging Molecular Mechanics Energies with an Ensemble of 3D Convolutional Neural Networks. Journal of Chemical Information and Modeling. 60(6). 2791–2802. 81 indexed citations
13.
Bhate, Manasi, Thomas Lemmin, Georg Kuenze, et al.. (2018). Structure and Function of the Transmembrane Domain of NsaS, an Antibiotic Sensing Histidine Kinase in Staphylococcus aureus. Journal of the American Chemical Society. 140(24). 7471–7485. 16 indexed citations
14.
Condello, Carlo, Thomas Lemmin, Jan Stöhr, et al.. (2018). Structural heterogeneity and intersubject variability of Aβ in familial and sporadic Alzheimer’s disease. Proceedings of the National Academy of Sciences. 115(4). E782–E791. 110 indexed citations
15.
Wu, Yibing, Thomas Lemmin, Alison M. Maxwell, et al.. (2017). De novo design of a hyperstable non-natural protein–ligand complex with sub-Å accuracy. Nature Chemistry. 9(12). 1157–1164. 86 indexed citations
16.
Dang, Bobo, Haifan Wu, Vikram Khipple Mulligan, et al.. (2017). De novo design of covalently constrained mesosize protein scaffolds with unique tertiary structures. Proceedings of the National Academy of Sciences. 114(41). 10852–10857. 47 indexed citations
17.
Lemmin, Thomas, Cinque Soto, Jonathan Stuckey, & Peter D. Kwong. (2017). Microsecond Dynamics and Network Analysis of the HIV-1 SOSIP Env Trimer Reveal Collective Behavior and Conserved Microdomains of the Glycan Shield. Structure. 25(10). 1631–1639.e2. 30 indexed citations
18.
Bovigny, Christophe, et al.. (2015). LipidBuilder: A Framework To Build Realistic Models for Biological Membranes. Journal of Chemical Information and Modeling. 55(12). 2491–2499. 14 indexed citations
19.
Lemmin, Thomas, Suzanne Salvi, Ekkehart Lausch, et al.. (2013). In-Depth Analysis of Hyaline Fibromatosis Syndrome Frameshift Mutations at the Same Site Reveal the Necessity of Personalized Therapy. Human Mutation. 34(7). 1005–1017. 13 indexed citations
20.
Lemmin, Thomas, Gowrishankar Ganesh, Roger Gassert, et al.. (2010). Model-based attenuation of movement artifacts in fMRI. Journal of Neuroscience Methods. 192(1). 58–69. 7 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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