Connie Xu

465 total citations
2 papers, 63 citations indexed

About

Connie Xu is a scholar working on Biological Psychiatry, Aerospace Engineering and Immunology. According to data from OpenAlex, Connie Xu has authored 2 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Biological Psychiatry, 1 paper in Aerospace Engineering and 1 paper in Immunology. Recurrent topics in Connie Xu's work include Tryptophan and brain disorders (1 paper), Particle accelerators and beam dynamics (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). Connie Xu is often cited by papers focused on Tryptophan and brain disorders (1 paper), Particle accelerators and beam dynamics (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). Connie Xu collaborates with scholars based in United States and United Kingdom. Connie Xu's co-authors include Yong Huang, Winnie L. Gee, Alexander Louie, Peter W. Hunt, B. Mustapha, Daniel Ratner, Auralee Edelen and José Luis Martínez and has published in prestigious journals such as Scientific Reports and Bioanalysis.

In The Last Decade

Connie Xu

1 paper receiving 63 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Connie Xu United States 1 45 25 21 15 9 2 63
Lucas Barbosa Oliveira Brazil 3 10 0.2× 14 0.6× 4 0.2× 2 0.1× 1 0.1× 8 37
Louis van Zyl United States 4 5 0.1× 7 0.3× 14 0.7× 1 0.1× 4 83
Pavlína Kleinová Czechia 2 10 0.2× 21 0.8× 2 0.1× 5 29
Rowan Harrison United Kingdom 2 11 0.2× 3 0.1× 5 0.2× 1 0.1× 1 0.1× 2 55
Guillaume Lemaître Spain 3 11 0.2× 20 0.8× 3 0.1× 3 38
Mai Nguyen France 2 18 0.4× 28 1.1× 2 0.1× 5 101
Zharkyn Jarmukhanov Kazakhstan 7 9 0.2× 44 1.8× 3 0.1× 18 75
Janko Ž. Nikolich United States 3 4 0.1× 9 0.4× 8 0.4× 3 79
Thi Dong Binh Tran United States 5 14 0.3× 34 1.4× 6 49
Bartłomiej Góra Poland 2 2 0.0× 18 0.7× 8 0.4× 3 32

Countries citing papers authored by Connie Xu

Since Specialization
Citations

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

Fields of papers citing papers by Connie Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Xu

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

All Works

2 of 2 papers shown
1.
Martínez, José Luis, et al.. (2025). Leveraging prior mean models for faster Bayesian optimization of particle accelerators. Scientific Reports. 15(1). 12232–12232.
2.

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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