Jared Adolf‐Bryfogle

2.2k total citations
18 papers, 714 citations indexed

About

Jared Adolf‐Bryfogle is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Jared Adolf‐Bryfogle has authored 18 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Infectious Diseases. Recurrent topics in Jared Adolf‐Bryfogle's work include Glycosylation and Glycoproteins Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Protein Structure and Dynamics (4 papers). Jared Adolf‐Bryfogle is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Protein Structure and Dynamics (4 papers). Jared Adolf‐Bryfogle collaborates with scholars based in United States, Japan and Germany. Jared Adolf‐Bryfogle's co-authors include Roland L. Dunbrack, William R. Schief, Brian D. Weitzner, Jeffrey J. Gray, Rahel Frick, Daisuke Kuroda, Sergey Lyskov, Nicholas Marze, Jeliazko R. Jeliazkov and Benjamin North and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Jared Adolf‐Bryfogle

18 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jared Adolf‐Bryfogle United States 12 546 398 125 110 61 18 714
Hung‐Pin Peng Taiwan 15 403 0.7× 257 0.6× 87 0.7× 48 0.4× 45 0.7× 27 614
Yoonjoo Choi South Korea 17 565 1.0× 331 0.8× 188 1.5× 47 0.4× 59 1.0× 45 742
Cyrille Dreyfus United States 6 693 1.3× 351 0.9× 117 0.9× 46 0.4× 52 0.9× 9 970
Sebastian Kelm United Kingdom 17 888 1.6× 486 1.2× 219 1.8× 73 0.7× 51 0.8× 29 1.1k
Angelika Fuchs Germany 13 800 1.5× 401 1.0× 140 1.1× 37 0.3× 42 0.7× 16 961
Lynne J. Lawrence Australia 15 479 0.9× 195 0.5× 77 0.6× 85 0.8× 69 1.1× 18 866
Payton A. Weidenbacher United States 9 514 0.9× 164 0.4× 207 1.7× 171 1.6× 79 1.3× 14 806
Shaogeng Tang United States 14 517 0.9× 124 0.3× 143 1.1× 179 1.6× 113 1.9× 25 945
Jordan R. Willis United States 13 339 0.6× 289 0.7× 310 2.5× 56 0.5× 43 0.7× 17 658
Theodora U. J. Bruun United States 10 442 0.8× 174 0.4× 83 0.7× 84 0.8× 25 0.4× 22 772

Countries citing papers authored by Jared Adolf‐Bryfogle

Since Specialization
Citations

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

Fields of papers citing papers by Jared Adolf‐Bryfogle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared Adolf‐Bryfogle. 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 Jared Adolf‐Bryfogle. The network helps show where Jared Adolf‐Bryfogle may publish in the future.

Co-authorship network of co-authors of Jared Adolf‐Bryfogle

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

All Works

18 of 18 papers shown
1.
Wróbel, S., et al.. (2025). Applying computational protein design to therapeutic antibody discovery - current state and perspectives. Frontiers in Immunology. 16. 1571371–1571371. 4 indexed citations
2.
Adolf‐Bryfogle, Jared, James W. Bowman, Sebástien Vérel, et al.. (2024). Complete combinatorial mutational enumeration of a protein functional site enables sequence‐landscape mapping and identifies highly‐mutated variants that retain activity. Protein Science. 33(8). e5109–e5109. 1 indexed citations
3.
Wang, Zichen, Ryan Brand, Jared Adolf‐Bryfogle, et al.. (2024). EGGNet, a Generalizable Geometric Deep Learning Framework for Protein Complex Pose Scoring. ACS Omega. 9(7). 7471–7479. 2 indexed citations
4.
Adolf‐Bryfogle, Jared, Jason W. Labonte, John C. Kraft, et al.. (2024). Growing Glycans in Rosetta: Accurate de novo glycan modeling, density fitting, and rational sequon design. PLoS Computational Biology. 20(6). e1011895–e1011895. 8 indexed citations
6.
Seok, Jeong Ho, Insu Hwang, Jared Adolf‐Bryfogle, et al.. (2022). Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants. mAbs. 14(1). 13 indexed citations
7.
Hvorecny, Kelli L., Morgan S. A. Gilman, Gary E. Heussler, et al.. (2021). Biochemical and structural characterization of two cif-like epoxide hydrolases from Burkholderia cenocepacia. SHILAP Revista de lepidopterología. 3. 72–84. 3 indexed citations
8.
Labonte, Jason W., et al.. (2021). Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta. The Journal of Physical Chemistry B. 125(25). 6807–6820. 13 indexed citations
9.
Gowthaman, Ragul, Johnathan D. Guest, Rui Yin, et al.. (2020). CoV3D: a database of high resolution coronavirus protein structures. Nucleic Acids Research. 49(D1). D282–D287. 50 indexed citations
10.
Adolf‐Bryfogle, Jared, Frank D. Teets, & Christopher D. Bahl. (2020). Toward complete rational control over protein structure and function through computational design. Current Opinion in Structural Biology. 66. 170–177. 14 indexed citations
11.
Adolf‐Bryfogle, Jared, et al.. (2020). Hiding in plain sight: structure and sequence analysis reveals the importance of the antibody DE loop for antibody-antigen binding. mAbs. 12(1). 1840005–1840005. 22 indexed citations
12.
Frenz, Brandon, Sebastian Rämisch, Andrew J. Borst, et al.. (2018). Automatically Fixing Errors in Glycoprotein Structures with Rosetta. Structure. 27(1). 134–139.e3. 52 indexed citations
13.
Adolf‐Bryfogle, Jared, Oleksandr Kalyuzhniy, Michael Kubitz, et al.. (2018). RosettaAntibodyDesign (RAbD): A general framework for computational antibody design. PLoS Computational Biology. 14(4). e1006112–e1006112. 139 indexed citations
14.
Weitzner, Brian D., Jeliazko R. Jeliazkov, Sergey Lyskov, et al.. (2017). Modeling and docking of antibody structures with Rosetta. Nature Protocols. 12(2). 401–416. 199 indexed citations
15.
Labonte, Jason W., Jared Adolf‐Bryfogle, William R. Schief, & Jeffrey J. Gray. (2016). Residue‐centric modeling and design of saccharide and glycoconjugate structures. Journal of Computational Chemistry. 38(5). 276–287. 33 indexed citations
16.
Adolf‐Bryfogle, Jared, Qifang Xu, Benjamin North, Andreas Lehmann, & Roland L. Dunbrack. (2014). PyIgClassify: a database of antibody CDR structural classifications. Nucleic Acids Research. 43(D1). D432–D438. 92 indexed citations
17.
Thomas, Colin, Elena Kotova, Mark Andrake, et al.. (2014). Kinase-Mediated Changes in Nucleosome Conformation Trigger Chromatin Decondensation via Poly(ADP-Ribosyl)ation. Molecular Cell. 53(5). 831–842. 36 indexed citations
18.
Adolf‐Bryfogle, Jared & Roland L. Dunbrack. (2013). The PyRosetta Toolkit: A Graphical User Interface for the Rosetta Software Suite. PLoS ONE. 8(7). e66856–e66856. 23 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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