Xiao-Jie Yao

1.9k total citations · 1 hit paper
10 papers, 1.6k citations indexed

About

Xiao-Jie Yao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiao-Jie Yao has authored 10 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiao-Jie Yao's work include Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Xiao-Jie Yao is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Xiao-Jie Yao collaborates with scholars based in United States, China and Poland. Xiao-Jie Yao's co-authors include Brian K. Kobilka, Tong Sun Kobilka, Søren G. F. Rasmussen, Hee‐Jung Choi, William I. Weis, Foon Sun Thian, Daniel M. Rosenbaum, Vadim Cherezov, Raymond C. Stevens and Michael A. Hanson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Methods.

In The Last Decade

Xiao-Jie Yao

9 papers receiving 1.6k 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.

GPCR Engineering Yields High-Resolution Structural Insights into β ₂ -Adrenergic Receptor Function

2007 1.1k citations Daniel M. Rosenbaum, Vadim Cherezov et al. Science profile →

Peers

Countries citing papers authored by Xiao-Jie Yao

Since Specialization

Citations

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

Fields of papers citing papers by Xiao-Jie Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Jie Yao. 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 Xiao-Jie Yao. The network helps show where Xiao-Jie Yao may publish in the future.

Co-authorship network of co-authors of Xiao-Jie Yao

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Review: Membrane protein nanodiscs for antibody discovery 2025 ·Current Opinion in Structural Biology ·Xiao-Jie Yao, Christy A. Thomson	2
2	Numerical solving of dissipative solitons and Turing patterns in the Lugiato-Lefever equation using squared-operator iteration method 2025 ·Optics Communications ·(unknown), Xiao-Jie Yao	0
3	[Relationship Between Urban Spatial Pattern and Thermal Environment Response in Summer: A Case Study of Hefei City]. 2023 ·PubMed ·Yuanyuan Chen, (unknown), Chun‐Quan Ou, (unknown), Xiao-Jie Yao	2
4	Acupuncture Reduces the Risk of Dysphagia in Stroke Patients: A Propensity Score-Matched Cohort Study 2022 ·Frontiers in Neuroscience ·(unknown), Xiao-Jie Yao, Shengnan Han, Yunyun Wu, (unknown), (unknown), Hong Zhang	3
5	Machine Learning for Prioritization of Thermostabilizing Mutations for G-Protein Coupled Receptors 2019 ·Biophysical Journal ·(unknown), Soumadwip Ghosh, Srisairam Achuthan, Xiaohong Chen, Xiao-Jie Yao, Manbir Sandhu, Matthew C. Griffor, Kimberly F. Fennell, Ye Che, Veerabahu Shanmugasundaram, Xiayang Qiu, Christopher G. Tate, Nagarajan Vaidehi	12
6	Binding of Cytidine-5'-monophosphate with Human Serum Albumin: Spectroscopic and Molecular Modeling Studies 2009 ·Polish Journal of Chemistry ·Fengling Cui, Yuting Yan, (unknown), Juan Du, Xiao-Jie Yao, (unknown), Yingqing Lu	1
7	GPCR Engineering Yields High-Resolution Structural Insights into β ₂ -Adrenergic Receptor Function breakdown → 2007 ·Science ·Daniel M. Rosenbaum, Vadim Cherezov, Michael A. Hanson, Søren G. F. Rasmussen, Foon Sun Thian, Tong Sun Kobilka, Hee‐Jung Choi, Xiao-Jie Yao, William I. Weis, Raymond C. Stevens, Brian K. Kobilka	1112
8	A monoclonal antibody for G protein–coupled receptor crystallography 2007 ·Nature Methods ·Peter Day, Søren G. F. Rasmussen, Charles Parnot, Juan José Fung, (unknown), Tong Sun Kobilka, Xiao-Jie Yao, Hee‐Jung Choi, William I. Weis, Daniel Rohrer, Brian K. Kobilka	102
9	Coupling ligand structure to specific conformational switches in the β2-adrenoceptor 2006 ·Nature Chemical Biology ·Xiao-Jie Yao, Charles Parnot, Xavier Deupí, Venkata R. P. Ratnala, Gayathri Swaminath, David Farrens, Brian K. Kobilka	292
10	A fluorescent probe designed for studying protein conformational change 2005 ·Proceedings of the National Academy of Sciences ·Bruce E. Cohen, Arnd Pralle, Xiao-Jie Yao, Gayathri Swaminath, Chris S. Gandhi, Yuh Nung Jan, Brian K. Kobilka, Ehud Y. Isacoff, Lily Yeh Jan	100

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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