Robin Pearce

2.9k citations

28 papers · 1.8k · 2 hit papers · h-index 20

Impact in

Structural Biology top 5%
Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
- Genomics and Phylogenetic Studies

Papers in

Molecular Biology 23
- Protein Structure and Dynamics 19
- RNA and protein synthesis mechanisms 11
- Genomics and Phylogenetic Studies 4
- Machine Learning in Bioinformatics 3
Materials Chemistry 11
- Enzyme Structure and Function 11
- Machine Learning in Materials Science 3

Co-authors: Yang Zhang (25 shared papers)Wei Zheng (9 shared papers)Chengxin Zhang (9 shared papers)Xiaoqiang Huang (11 shared papers)Eric W. Bell (3 shared papers)Yang Li (4 shared papers)Yang Li (6 shared papers)Xiaogen Zhou (3 shared papers)
Journals: Bioinformatics (4 papers)Nature Communications (2 papers)Proteins Structure Function and Bioinformatics (2 papers)PLoS Computational Biology (2 papers)Journal of Molecular Biology (2 papers)
Partner nations: United States China Singapore

In The Last Decade

Robin Pearce

28 papers receiving 1.8k citations

Robin Pearce's Hit Papers

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I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction 2022 · 297 citations

Peers

Countries citing papers authored by Robin Pearce

Since Specialization

Citations

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

Fields of papers citing papers by Robin Pearce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations Cell Reports Methods ·Wei Zheng, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang Hit paper breakdown →	2021	372
2	I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction Nature Protocols ·Xiaogen Zhou, Wei Zheng, Yang Li, Robin Pearce, Chengxin Zhang, Eric W. Bell, Guijun Zhang, Yang Zhang Hit paper breakdown →	2022	297
3	Deep‐learning contact‐map guided protein structure prediction in CASP13 Proteins Structure Function and Bioinformatics ·Wei Zheng, Yang Li, Chengxin Zhang, Robin Pearce, S. M. Mortuza, Yang Zhang	2019	129
4	LOMETS2: improved meta-threading server for fold-recognition and structure-based function annotation for distant-homology proteins Nucleic Acids Research ·Wei Zheng, Chengxin Zhang, Qiqige Wuyun, Robin Pearce, Yang Li, Yang Zhang	2019	101
5	De novo design of protein peptides to block association of the SARS-CoV-2 spike protein with human ACE2 Aging ·Xiaoqiang Huang, Robin Pearce, Yang Zhang	2020	85
6	Toward the solution of the protein structure prediction problem Journal of Biological Chemistry ·Robin Pearce, Yang Zhang	2021	84
7	Deep learning techniques have significantly impacted protein structure prediction and protein design Current Opinion in Structural Biology ·Robin Pearce, Yang Zhang	2021	81
8	EvoEF2: accurate and fast energy function for computational protein design Bioinformatics ·Xiaoqiang Huang, Robin Pearce, Yang Zhang	2019	70
9	Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions Nature Communications ·S. M. Mortuza, Wei Zheng, Chengxin Zhang, Yang Li, Robin Pearce, Yang Zhang	2021	61
10	FASPR: an open-source tool for fast and accurate protein side-chain packing Bioinformatics ·Xiaoqiang Huang, Robin Pearce, Yang Zhang	2020	56
11	Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure prediction Nature Communications ·Yang Li, Chengxin Zhang, Chenjie Feng, Robin Pearce, Lydia Freddolino, Yang Zhang	2023	55
12	EvoDesign: Designing Protein–Protein Binding Interactions Using Evolutionary Interface Profiles in Conjunction with an Optimized Physical Energy Function Journal of Molecular Biology ·Robin Pearce, Xiaoqiang Huang, Dani Setiawan, Yang Zhang	2019	53
13	Protein structure prediction using deep learning distance and hydrogen‐bonding restraints in CASP14 Proteins Structure Function and Bioinformatics ·Wei Zheng, Yang Li, Chengxin Zhang, Xiaogen Zhou, Robin Pearce, Eric W. Bell, Xiaoqiang Huang, Yang Zhang	2021	44
14	SSIPe: accurately estimating protein–protein binding affinity change upon mutations using evolutionary profiles in combination with an optimized physical energy function Bioinformatics ·Xiaoqiang Huang, Wei Zheng, Robin Pearce, Yang Zhang	2019	41
15	FUpred: detecting protein domains through deep-learning-based contact map prediction Bioinformatics ·Wei Zheng, Xiaogen Zhou, Qiqige Wuyun, Robin Pearce, Yang Li, Yang Zhang	2020	40
16	Detecting distant-homology protein structures by aligning deep neural-network based contact maps PLoS Computational Biology ·Wei Zheng, Qiqige Wuyun, Yang Li, S. M. Mortuza, Chengxin Zhang, Robin Pearce, Jishou Ruan, Yang Zhang	2019	36
17	Effect of the degree of glycation on the stability and aggregation of bovine serum albumin Food Hydrocolloids ·Xuanting Liu, Jingbo Liu, Wenqi Zhang, Robin Pearce, Mei‐Ru Chen, Ting Zhang, Boqun Liu	2020	29
18	Mg2+ inhibits heat-induced aggregation of BSA: The mechanism and its binding site Food Hydrocolloids ·Xuanting Liu, Wenqi Zhang, Jingbo Liu, Robin Pearce, Yang Zhang, Kangxin Zhang, Qingyang Ruan, Yiding Yu, Boqun Liu	2019	26
19	Identifying the Zoonotic Origin of SARS-CoV-2 by Modeling the Binding Affinity between the Spike Receptor-Binding Domain and Host ACE2 Journal of Proteome Research ·Xiaoqiang Huang, Chengxin Zhang, Robin Pearce, Gilbert S. Omenn, Yang Zhang	2020	24
20	Fast and accurate Ab Initio Protein structure prediction using deep learning potentials PLoS Computational Biology ·Robin Pearce, Yang Li, Gilbert S. Omenn, Yang Zhang	2022	21

About Robin Pearce

Robin Pearce is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Computational Theory and Mathematics and Structural Biology, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (19 papers), RNA and protein synthesis mechanisms (11 papers), Enzyme Structure and Function (11 papers), Genomics and Phylogenetic Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (3 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Structural Biology (34 citations), Molecular Biology (1.3k citations), Microbiology (78 citations), Computational Theory and Mathematics (190 citations) and Infectious Diseases (212 citations). Robin Pearce has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Yang Zhang, Wei Zheng, Chengxin Zhang, Xiaoqiang Huang, Eric W. Bell, Yang Li, Yang Li, Xiaogen Zhou, Guijun Zhang and S. M. Mortuza. Their work appears in journals such as Bioinformatics, Nature Communications, Proteins Structure Function and Bioinformatics, PLoS Computational Biology and Journal of Molecular Biology.

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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Robin Pearce

Robin Pearce's Hit Papers

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About Robin Pearce

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