Nathan Rollins

1.1k total citations · 1 hit paper
11 papers, 345 citations indexed

About

Nathan Rollins is a scholar working on Molecular Biology, Pharmacology and Immunology. According to data from OpenAlex, Nathan Rollins has authored 11 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Immunology. Recurrent topics in Nathan Rollins's work include Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Nathan Rollins is often cited by papers focused on Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Nathan Rollins collaborates with scholars based in United States, United Kingdom and Canada. Nathan Rollins's co-authors include Debora S. Marks, Chris Sander, Pascal Notin, Yarin Gal, Kelly P. Brock, Nicholas P. Gauthier, Frank J. Poelwijk, Michael A. Stiffler, Pamela A. Silver and Tobias W. Giessen and has published in prestigious journals such as Nature Communications, Nature Genetics and Blood.

In The Last Decade

Nathan Rollins

11 papers receiving 338 citations

Hit Papers

align trajectories

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.

Machine learning for functional protein design

2024 118 citations Pascal Notin, Nathan Rollins et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan Rollins United States	7	276	70	40	34	31	11	345
Emily E. Wrenbeck United States	6	374 1.4×	94 1.3×	39 1.0×	37 1.1×	51 1.6×	7	430
Taylor H. Nguyen United States	8	353 1.3×	51 0.7×	21 0.5×	40 1.2×	20 0.6×	15	436
Vincent Frappier Canada	10	304 1.1×	39 0.6×	51 1.3×	19 0.6×	22 0.7×	12	376
Yuling Sheng China	8	169 0.6×	49 0.7×	18 0.5×	40 1.2×	16 0.5×	15	295
Damiano Cianferoni Spain	6	239 0.9×	56 0.8×	30 0.8×	16 0.5×	22 0.7×	9	337
Damiano Clementel Italy	8	290 1.1×	32 0.5×	37 0.9×	24 0.7×	14 0.5×	12	374
Efrat Ben‐Zeev Israel	13	325 1.2×	32 0.5×	51 1.3×	16 0.5×	46 1.5×	24	439
Ryan P. Bingham United Kingdom	8	175 0.6×	22 0.3×	16 0.4×	33 1.0×	18 0.6×	15	244
Ariel Erijman Israel	9	392 1.4×	35 0.5×	36 0.9×	21 0.6×	44 1.4×	11	465
Masahiro Hiraizumi Japan	7	276 1.0×	51 0.7×	17 0.4×	13 0.4×	8 0.3×	11	380

Countries citing papers authored by Nathan Rollins

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Rollins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Rollins

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

All Works

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11 of 11 papers shown

1.

Cortade, Dana L., Henning Redestig, David A. Estell, et al.. (2025). Results of the Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design. Proteins Structure Function and Bioinformatics. 93(11). 2005–2014. 2 indexed citations

2.

Manasson, Julia, Liliana M. Sanmarco, Alex Pellerin, et al.. (2024). Preclinical Polypharmacology of S-1117, a Novel Engineered Fc-Fused IgG Degrading Enzyme, for Chronic Treatment of Autoantibody-Mediated Diseases. Blood. 144(Supplement 1). 2562–2562. 3 indexed citations

3.

Ding, David, Sam Sinai, Nathan Rollins, et al.. (2024). Protein design using structure-based residue preferences. Nature Communications. 15(1). 1639–1639. 17 indexed citations

4.

Notin, Pascal, Nathan Rollins, Yarin Gal, Chris Sander, & Debora S. Marks. (2024). Machine learning for functional protein design. Nature Biotechnology. 42(2). 216–228. 118 indexed citations breakdown →

5.

Veling, Mike T., Dan T. Nguyen, Nicole N. Thadani, et al.. (2022). Natural and Designed Proteins Inspired by Extremotolerant Organisms Can Form Condensates and Attenuate Apoptosis in Human Cells. ACS Synthetic Biology. 11(3). 1292–1302. 11 indexed citations

6.

Ng, Tai L., Tae Yeon Yoo, Peter D. Koch, et al.. (2022). High-Content Screening and Computational Prediction Reveal Viral Genes That Suppress the Innate Immune Response. mSystems. 7(2). e0146621–e0146621. 4 indexed citations

7.

Altenburg, Wiggert J., Nathan Rollins, Pamela A. Silver, & Tobias W. Giessen. (2021). Exploring targeting peptide-shell interactions in encapsulin nanocompartments. Scientific Reports. 11(1). 4951–4951. 29 indexed citations

8.

Chiasson, Melissa A., Nathan Rollins, Jason J. Stephany, et al.. (2020). Multiplexed measurement of variant abundance and activity reveals VKOR topology, active site and human variant impact. eLife. 9. 55 indexed citations

9.

Rollins, Nathan, Kelly P. Brock, Frank J. Poelwijk, et al.. (2019). Inferring protein 3D structure from deep mutation scans. Nature Genetics. 51(7). 1170–1176. 91 indexed citations

10.

Wyche, Thomas P., et al.. (2018). Mammalian Cells Engineered To Produce New Steroids. ChemBioChem. 19(17). 1827–1833. 1 indexed citations

11.

Ziesack, Marika, et al.. (2018). Chimeric Fatty Acyl-Acyl Carrier Protein Thioesterases Provide Mechanistic Insight into Enzyme Specificity and Expression. Applied and Environmental Microbiology. 84(10). 14 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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