Jeffrey M. Lotthammer

669 total citations · 1 hit paper
11 papers, 243 citations indexed

About

Jeffrey M. Lotthammer is a scholar working on Molecular Biology, Spectroscopy and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jeffrey M. Lotthammer has authored 11 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Spectroscopy and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jeffrey M. Lotthammer's work include Protein Structure and Dynamics (7 papers), Advanced Proteomics Techniques and Applications (3 papers) and Computational Drug Discovery Methods (2 papers). Jeffrey M. Lotthammer is often cited by papers focused on Protein Structure and Dynamics (7 papers), Advanced Proteomics Techniques and Applications (3 papers) and Computational Drug Discovery Methods (2 papers). Jeffrey M. Lotthammer collaborates with scholars based in United States, United Kingdom and Canada. Jeffrey M. Lotthammer's co-authors include Alex S. Holehouse, Garrett M. Ginell, Ryan J. Emenecker, Daniel Griffith, Artur Meller, Gregory R. Bowman, Jonathan Borowsky, Felipe Oviedo, Juan Lavista Ferres and Meghana Kshirsagar and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Jeffrey M. Lotthammer

9 papers receiving 241 citations

Hit Papers

Direct prediction of intrinsically disordered protein con... 2024 2026 2025 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Direct prediction of intrinsically disordered protein conformational properties from sequence
    2024 83 citations Jeffrey M. Lotthammer, Garrett M. Ginell et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey M. Lotthammer United States 8 199 57 36 14 14 11 243
Corrado Pancotti Italy 6 184 0.9× 17 0.3× 45 1.3× 7 0.5× 4 0.3× 13 239
Annie M. Westerlund Sweden 10 224 1.1× 48 0.8× 55 1.5× 20 1.4× 24 1.7× 17 309
Kazuyoshi Ikeda Japan 10 175 0.9× 75 1.3× 30 0.8× 8 0.6× 12 0.9× 28 226
Tolulope Adeyelu United States 7 150 0.8× 27 0.5× 16 0.4× 8 0.6× 5 0.4× 25 220
Bum Soo Hong Canada 7 235 1.2× 17 0.3× 24 0.7× 10 0.7× 7 0.5× 8 265
Marta Frigolé‐Vivas Spain 7 158 0.8× 12 0.2× 24 0.7× 10 0.7× 17 1.2× 8 226
Shen Niu China 11 269 1.4× 37 0.6× 12 0.3× 8 0.6× 22 1.6× 14 303
Craig W. Gambogi United States 6 242 1.2× 31 0.5× 20 0.6× 28 2.0× 16 1.1× 10 283
Marcin J. Domagalski United States 9 219 1.1× 22 0.4× 69 1.9× 8 0.6× 65 4.6× 11 268

Countries citing papers authored by Jeffrey M. Lotthammer

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Lotthammer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey M. Lotthammer. 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 Jeffrey M. Lotthammer. The network helps show where Jeffrey M. Lotthammer may publish in the future.

Co-authorship network of co-authors of Jeffrey M. Lotthammer

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

All Works

11 of 11 papers shown
1.
Lotthammer, Jeffrey M., et al.. (2026). Accurate predictions of disordered protein ensembles with STARLING. Nature.
2.
Lotthammer, Jeffrey M. & Alex S. Holehouse. (2025). Disentangling Folding from Energetic Traps in Simulations of Disordered Proteins. Journal of Chemical Information and Modeling. 65(6). 2897–2910. 1 indexed citations
3.
Gollub, Edith, Jeffrey M. Lotthammer, Ryan J. Emenecker, et al.. (2025). Protein surface chemistry encodes an adaptive tolerance to desiccation. Cell Systems. 16(10). 101407–101407.
4.
Ginell, Garrett M., et al.. (2025). Sequence-based prediction of intermolecular interactions driven by disordered regions. Science. 388(6749). eadq8381–eadq8381. 14 indexed citations
5.
Lotthammer, Jeffrey M., Garrett M. Ginell, Daniel Griffith, Ryan J. Emenecker, & Alex S. Holehouse. (2024). Direct prediction of intrinsically disordered protein conformational properties from sequence. Nature Methods. 21(3). 465–476. 83 indexed citations breakdown →
6.
Lotthammer, Jeffrey M., Garrett M. Ginell, Daniel Griffith, Ryan J. Emenecker, & Alex S. Holehouse. (2024). Direct prediction of intrinsically disordered protein conformational properties from sequence. Biophysical Journal. 123(3). 43a–43a. 10 indexed citations
7.
8.
Giese, Arnaud P. J., Katie S. Kindt, Jonathan S. Montgomery, et al.. (2023). Complexes of vertebrate TMC1/2 and CIB2/3 proteins form hair-cell mechanotransduction cation channels. eLife. 12. 7 indexed citations
9.
Meller, Artur, Michael D. Ward, Jonathan Borowsky, et al.. (2023). Predicting the locations of cryptic pockets from single protein structures using the PocketMiner graph neural network. Biophysical Journal. 122(3). 445a–445a. 13 indexed citations
10.
Meller, Artur, Michael D. Ward, Jonathan Borowsky, et al.. (2023). Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural network. Nature Communications. 14(1). 1177–1177. 86 indexed citations
11.
Meller, Artur, Jonathan Walklate, Jeffrey M. Lotthammer, et al.. (2022). Functional divergence of the sarcomeric myosin, MYH7b, supports species-specific biological roles. Journal of Biological Chemistry. 299(1). 102657–102657. 11 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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