Jeffrey J. Gray

21.6k citations

206 papers · 12.0k indexed · 4 hit papers · h-index 54

Impact in

Molecular Biology top 0.5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Protein purification and stability
- vaccines and immunoinformatics approaches
Radiology, Nuclear Medicine and Imaging top 0.5%
- Monoclonal and Polyclonal Antibodies Research

Papers in

Molecular Biology 132
- Protein Structure and Dynamics 52
- Glycosylation and Glycoproteins Research 39
- RNA and protein synthesis mechanisms 27
- Protein purification and stability 17
Radiology, Nuclear Medicine and Imaging 44
- Monoclonal and Polyclonal Antibodies Research 44

Co-authors: Sergey Lyskov Sidhartha Chaudhury Brian Kuhlman David Baker Brian D. Weitzner David L. Masica Aroop Sircar Ora Schueler‐Furman
Journals: Proteins Structure Function and Bioinformatics (16 papers)Biophysical Journal (9 papers)Structure (8 papers)PLoS Computational Biology (8 papers)PLoS ONE (8 papers)
Partner nations: United States United Kingdom Canada

In The Last Decade

Jeffrey J. Gray

202 papers receiving 11.7k citations

Hit Papers

align trajectories log scale

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies 2023 · 162 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.

2023 Nature Communications
2017 Journal of Chemical Theory and Computation
2003 Current Opinion in Structural Biology
2003 Journal of Molecular Biology

Peers

Countries citing papers authored by Jeffrey J. Gray

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey J. Gray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeffrey J. Gray, 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 Jeffrey J. Gray Line = papers co-authored together Jeffrey J. Gray links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Discovery of a single-subunit oligosaccharyltransferase that enables glycosylation of full-length IgG antibodies in bacteria Nature Communications ·Belen Sotomayor, Thomas C. Donahue, Sai Pooja Mahajan, May N. Taw, Sophia W. Hulbert, Erik J. Bidstrup, D. Natasha Owitipana, Alexandra Pang, Yang Xu, Souvik Ghosal, Christopher A. Alabi, Parastoo Azadi, Jeffrey J. Gray, Michael C. Jewett, Lai‐Xi Wang, Matthew P. DeLisa	2025	2
2	Toward enhancement of antibody thermostability and affinity by computational design in the absence of antigen mAbs ·Mark R. Hutchinson, Jeffrey A. Ruffolo, Nantaporn Haskins, Michael J. Iannotti, Giuliana Vozza, Tony Pham, N. Mehzabeen, Harini Shandilya, Keith Rickert, Rebecca Croasdale-Wood, Melissa Damschroder, Ying Fu, Andrew Dippel, Jeffrey J. Gray, Gilad Kaplan	2024	10
3	Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies Nature Communications ·Jeffrey A. Ruffolo, Lee‐Shin Chu, Sai Pooja Mahajan, Jeffrey J. Gray Hit paper breakdown →	2023	162
4	Fate and Efficacy of Engineered Allogeneic Stem Cells Targeting Cell Death and Proliferation Pathways in Primary and Brain Metastatic Lung Cancer Stem Cells Translational Medicine ·Susana Moleirinho, Yohei Kitamura, Paulo Borges, Sophia Auduong, Seyda Kilic, David Y.B. Deng, Nobuhiko Kanaya, David Kozono, Jing Zhou, Jeffrey J. Gray, Esther Revai Lechtich, Yanni Zhu, Khalid Shah	2023	2
5	Structure-based neural network protein–carbohydrate interaction predictions at the residue level SHILAP Revista de lepidopterología ·Samuel W. Canner, Sudhanshu Shanker, Jeffrey J. Gray	2023	11
6	IgLM: Infilling language modeling for antibody sequence design Cell Systems ·Richard W. Shuai, Jeffrey A. Ruffolo, Jeffrey J. Gray	2023	58
7	Flexible protein–protein docking with a multitrack iterative transformer Protein Science ·Lee‐Shin Chu, Jeffrey A. Ruffolo, Ameya Harmalkar, Jeffrey J. Gray	2023	17
8	Understanding the interactions between bone mineral crystals and their binding peptides derived from filamentous phage Materials Today Advances ·Yan Li, Binrui Cao, Sita D. Modali, Elizabeth Lee, Hong Xu, Valery A. Petrenko, Jeffrey J. Gray, Mingying Yang, Chuanbin Mao	2022	8
9	Accurate positioning of functional residues with robotics-inspired computational protein design Proceedings of the National Academy of Sciences ·Cody Krivacic, Kale Kundert, Xingjie Pan, Roland A. Pache, Lin Liu, Shane Ó Conchúir, Jeliazko R. Jeliazkov, Jeffrey J. Gray, Michael C. Thompson, James S. Fraser, Tanja Kortemme	2022	6
10	A high-affinity human TCR-like antibody detects celiac disease gluten peptide–MHC complexes and inhibits T cell activation Science Immunology ·Rahel Frick, Lene S. Høydahl, Jan Petersen, M. Fleur du Pré, Shraddha Kumari, Grete Berntsen, Alisa E. Dewan, Jeliazko R. Jeliazkov, Kristin Støen Gunnarsen, Terje Frigstad, Erik Sebastian Vik, Carmen Llerena, Knut E. A. Lundin, Sheraz Yaqub, Jørgen Jahnsen, Jeffrey J. Gray, Jamie Rossjohn, Ludvig M. Sollid, Inger Sandlie, Geir Åge Løset	2021	18
11	Geometric potentials from deep learning improve prediction of CDR H3 loop structures Bioinformatics ·Jeffrey A. Ruffolo, Carlos Guerra, Sai Pooja Mahajan, Jeremias Sulam, Jeffrey J. Gray	2020	58
12	Efficient flexible backbone protein–protein docking for challenging targets Bioinformatics ·Nicholas Marze, Shourya S. Roy Burman, William Sheffler, Jeffrey J. Gray	2018	116
13	Plasma Cells Are the Most Abundant Gluten Peptide MHC-expressing Cells in Inflamed Intestinal Tissues From Patients With Celiac Disease Gastroenterology ·Lene S. Høydahl, Lisa Richter, Rahel Frick, Omri Snir, Kristin Støen Gunnarsen, Ole J.B. Landsverk, Rasmus Iversen, Jeliazko R. Jeliazkov, Jeffrey J. Gray, Elin Bergseng, Stian Foss, Shuo‐Wang Qiao, Knut E. A. Lundin, Jørgen Jahnsen, Frode L. Jahnsen, Inger Sandlie, Ludvig M. Sollid, Geir Åge Løset	2018	61
14	Chiral switching in biomineral suprastructures induced by homochiral l -amino acid Science Advances ·Wenge Jiang, Michael S. Pacella, Hojatollah Vali, Jeffrey J. Gray, Marc D. McKee	2018	49
15	A Parametric Rosetta Energy Function Analysis with LK Peptides on SAM Surfaces Langmuir ·Joseph H. Lubin, Michael S. Pacella, Jeffrey J. Gray	2018	2
16	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
17	Acidic C-terminal domains autoregulate the RNA chaperone Hfq eLife ·Andrew Santiago‐Frangos, Jeliazko R. Jeliazkov, Jeffrey J. Gray, Sarah A. Woodson	2017	53
18	A Benchmarking Study of Peptide–Biomineral Interactions Crystal Growth & Design ·Michael S. Pacella, Jeffrey J. Gray	2017	13
19	RosettaAntibody: antibody variable region homology modeling server Nucleic Acids Research ·Amit Sircar, Eui Tae Kim, Jeffrey J. Gray	2009	121
20	Biomolecular Modeling in a Process Dynamics and Control Course. Chemical Engineering Education ·Jeffrey J. Gray	2006	1

About Jeffrey J. Gray

Jeffrey J. Gray is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Acoustics and Ultrasonics and Materials Chemistry, having authored 206 papers that have together received 12.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (52 papers), Monoclonal and Polyclonal Antibodies Research (44 papers), Glycosylation and Glycoproteins Research (39 papers), Enzyme Structure and Function (39 papers), RNA and protein synthesis mechanisms (27 papers), Cytomegalovirus and herpesvirus research (18 papers), Protein purification and stability (17 papers) and Computational Drug Discovery Methods (16 papers). The work is most often cited by research in Molecular Biology (7.7k citations), Radiology, Nuclear Medicine and Imaging (2.3k citations), Computational Theory and Mathematics (1.0k citations), Biomaterials (679 citations) and Immunology (1.1k citations). Jeffrey J. Gray has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sergey Lyskov, Sidhartha Chaudhury, Brian Kuhlman, David Baker, Brian D. Weitzner, David L. Masica, Aroop Sircar, Ora Schueler‐Furman, Stewart Moughon and Jeffrey A. Ruffolo. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Biophysical Journal, Structure, PLoS Computational Biology and PLoS ONE.

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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