Brian Kuhlman

23.4k citations

164 papers · 14.5k indexed · 8 hit papers · h-index 60

Impact in

Molecular Biology top 0.2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Ubiquitin and proteasome pathways
Cellular and Molecular Neuroscience top 1%
- Photoreceptor and optogenetics research

Papers in

Molecular Biology 143
- Protein Structure and Dynamics 71
- RNA and protein synthesis mechanisms 53
- Glycosylation and Glycoproteins Research 21
- Ubiquitin and proteasome pathways 14
Materials Chemistry 62
- Enzyme Structure and Function 56

Co-authors: David Baker Philip Bradley Gautam Dantas Klaus M. Hahn Jeffrey J. Gray Gabriele Varani Barry Stoddard Gregory C. Ireton
Journals: Journal of Molecular Biology (17 papers)Protein Science (12 papers)Biochemistry (11 papers)Proteins Structure Function and Bioinformatics (9 papers)Journal of Biological Chemistry (9 papers)
Partner nations: United States Germany Russia

In The Last Decade

Brian Kuhlman

161 papers receiving 14.4k citations

Hit Papers

8 papers align trajectories log scale

Advances in protein structure prediction and design 2019 · 525 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2019 Nature Reviews Molecular Cell Biology
2017 Journal of Chemical Theory and Computation
2015 Nature
2014 Proceedings of the National Academy of Sciences
2009 Nature
2003 Journal of Molecular Biology
2003 Science
2000 Proceedings of the National Academy of Sciences

Peers

Countries citing papers authored by Brian Kuhlman

Since Specialization

Citations

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

Fields of papers citing papers by Brian Kuhlman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Kuhlman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Kuhlman Line = papers co-authored together Brian Kuhlman links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Aminoacyl-tRNA synthetase urzymes optimized by deep learning behave as a quasispecies Structural Dynamics ·Sourav Kumar Patra, Nicholas Z. Randolph, Brian Kuhlman, Henry Dieckhaus, Laurie Betts, Jordan Douglas, Peter R. Wills, Charles W. Carter	2025	1
2	Multivalent administration of dengue E dimers on liposomes elicits type-specific neutralizing responses without immune interference npj Vaccines ·Thanh T.N. Phan, Devina Thiono, Matthew G. Hvasta, Ruby P. Shah, Gisselle Prida Ajo, Wei‐Chiao Huang, Jonathan F. Lovell, Shaomin Tian, Aravinda M. de Silva, Brian Kuhlman	2025	1
3	Transfer learning to leverage larger datasets for improved prediction of protein stability changes Proceedings of the National Academy of Sciences ·Henry Dieckhaus, Michael Brocidiacono, Nicholas Z. Randolph, Brian Kuhlman	2024	55
4	Protein stability models fail to capture epistatic interactions of double point mutations Protein Science ·Henry Dieckhaus, Brian Kuhlman	2024	3
5	In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models Proceedings of the National Academy of Sciences ·Odessa J. Goudy, Amrita Nallathambi, Tomoaki Kinjo, Nicholas Z. Randolph, Brian Kuhlman	2023	20
6	Design of a protease‐activated PD‐L1 inhibitor Protein Science ·Odessa J. Goudy, Alice Peng, Ashutosh Tripathy, Brian Kuhlman	2023	4
7	Designed, highly expressing, thermostable dengue virus 2 envelope protein dimers elicit quaternary epitope antibodies Science Advances ·Stephan T. Kudlacek, Stefan Metz, Devina Thiono, Alexander Matthew Payne, Thanh T.N. Phan, Shaomin Tian, Lawrence J. Forsberg, Jack B. Maguire, Ian Seim, Shu Zhang, Ashutosh Tripathy, Joseph S. Harrison, Nathan I. Nicely, Sandrine Soman, Michael K. McCracken, Gregory D. Gromowski, Richard G. Jarman, Lakshmanane Premkumar, Aravinda M. de Silva, Brian Kuhlman	2021	28
8	Modifications to the Framework Regions Eliminate Chimeric Antigen Receptor Tonic Signaling Cancer Immunology Research ·Elisa Landoni, Giovanni Fucà, Jian Wang, Venkat R. Chirasani, Zhiyuan Yao, Elena Dukhovlinova, Soldano Ferrone, Barbara Savoldo, Lee K. Hong, Peishun Shou, Silvia Musio, Francesco Padelli, Gaetano Finocchiaro, Miriam Droste, Brian Kuhlman, Abdijapar Shamshiev, Serena Pellegatta, Nikolay V. Dokholyan, Gianpietro Dotti	2021	56
9	Designer proteins that competitively inhibit Gαq by targeting its effector site Journal of Biological Chemistry ·Mahmud M. Hussain, Matthew C. Cummins, Stuart Endo-Streeter, John Sondek, Brian Kuhlman	2021	8
10	Perturbing the energy landscape for improved packing during computational protein design Proteins Structure Function and Bioinformatics ·Jack B. Maguire, Hugh K. Haddox, Devin Strickland, Samer Halabiya, Brian Coventry, Jermel R. Griffin, S.V.S.R.K. Pulavarti, Matthew C. Cummins, David F. Thieker, Eric Klavins, Thomas Szyperski, Frank DiMaio, David Baker, Brian Kuhlman	2020	87
11	An optogenetic switch for the Set2 methyltransferase provides evidence for transcription-dependent and -independent dynamics of H3K36 methylation Genome Research ·Andrew M. Lerner, Austin J. Hepperla, Gregory R. Keele, Hashem A. Meriesh, Hayretin Yumerefendi, David Restrepo, Seth P. Zimmerman, James E. Bear, Brian Kuhlman, Ian J. Davis, Brian D. Strahl	2020	13
12	Evolution of a highly active and enantiospecific metalloenzyme from short peptides Science ·Sabine Studer, Douglas A. Hansen, Zbigniew Pianowski, Peer R. E. Mittl, Aaron Debon, Sharon L. Guffy, Bryan S. Der, Brian Kuhlman, Donald Hilvert	2018	130
13	The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design Journal of Chemical Theory and Computation ·Rebecca F. Alford, Andrew Leaver‐Fay, Jeliazko R. Jeliazkov, Matthew J. O’Meara, Frank DiMaio, Hahnbeom Park, Maxim V. Shapovalov, P. Douglas Renfrew, Vikram Khipple Mulligan, Kalli Kappel, Jason W. Labonte, Michael S. Pacella, Richard Bonneau, Philip Bradley, Roland L. Dunbrack, Rhiju Das, David Baker, Brian Kuhlman, Tanja Kortemme, Jeffrey J. Gray Hit paper breakdown →	2017	942
14	Cells lay their own tracks – optogenetic Cdc42 activation stimulates fibronectin deposition supporting directed migration Journal of Cell Science ·Seth P. Zimmerman, Sreeja B. Asokan, Brian Kuhlman, James E. Bear	2017	23
15	Design of structurally distinct proteins using strategies inspired by evolution Science ·Timothy M. Jacobs, Benfeard Williams, Tishan Williams, Xiaohui Xu, Alexander Eletsky, Jasmin Federizon, Thomas Szyperski, Brian Kuhlman	2016	105
16	Hemi-methylated DNA regulates DNA methylation inheritance through allosteric activation of H3 ubiquitylation by UHRF1 eLife ·Joseph S. Harrison, Evan M. Cornett, Dennis Goldfarb, Paul A. DaRosa, Zimeng M. Li, Feng Yan, Bradley M. Dickson, Angela H. Guo, Daniel V Cantu, Lilia Kaustov, Peter J. Brown, C.H. Arrowsmith, Dorothy A. Erie, Michael B. Major, Rachel E. Klevit, Krzysztof Krajewski, Brian Kuhlman, Brian D. Strahl, Scott B. Rothbart	2016	98
17	Lamellipodia are crucial for haptotactic sensing and response Journal of Cell Science ·Samantha J. King, Sreeja B. Asokan, Elizabeth M. Haynes, Seth P. Zimmerman, Jeremy D. Rotty, James G. Alb, Alicia C. Tagliatela, Devon R. Blake, Irina P. Lebedeva, Daniel Marston, Heath E. Johnson, Maddy Parsons, Norman E. Sharpless, Brian Kuhlman, Jason M. Haugh, James E. Bear	2016	58
18	A Generic Program for Multistate Protein Design PLoS ONE ·Andrew Leaver‐Fay, Ron Jacak, P. Benjamin Stranges, Brian Kuhlman	2011	71
19	Computational protein design with explicit consideration of surface hydrophobic patches Proteins Structure Function and Bioinformatics ·Ron Jacak, Andrew Leaver‐Fay, Brian Kuhlman	2011	58
20	High-resolution design of a protein loop Proceedings of the National Academy of Sciences ·Xiaozhen Hu, Huanchen Wang, Hengming Ke, Brian Kuhlman	2007	97

About Brian Kuhlman

Brian Kuhlman is a scholar working on Molecular Biology, Materials Chemistry, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Oncology, having authored 164 papers that have together received 14.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (71 papers), Enzyme Structure and Function (56 papers), RNA and protein synthesis mechanisms (53 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Glycosylation and Glycoproteins Research (21 papers), Light effects on plants (17 papers), Photoreceptor and optogenetics research (14 papers) and Ubiquitin and proteasome pathways (14 papers). The work is most often cited by research in Molecular Biology (11.7k citations), Cellular and Molecular Neuroscience (1.8k citations), Materials Chemistry (3.4k citations), Radiology, Nuclear Medicine and Imaging (1.6k citations) and Cell Biology (1.0k citations). Brian Kuhlman has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include David Baker, Philip Bradley, Gautam Dantas, Klaus M. Hahn, Jeffrey J. Gray, Gabriele Varani, Barry Stoddard, Gregory C. Ireton, Yi Wu and Andrew Leaver‐Fay. Their work appears in journals such as Journal of Molecular Biology, Protein Science, Biochemistry, Proteins Structure Function and Bioinformatics and Journal of Biological Chemistry.

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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