Xiaochun Yang

43 total papers · 1.8k total citations
28 papers, 1.3k citations indexed

About

Xiaochun Yang is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaochun Yang has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaochun Yang's work include Retinal Diseases and Treatments (3 papers), Conducting polymers and applications (3 papers) and Retinal Development and Disorders (3 papers). Xiaochun Yang is often cited by papers focused on Retinal Diseases and Treatments (3 papers), Conducting polymers and applications (3 papers) and Retinal Development and Disorders (3 papers). Xiaochun Yang collaborates with scholars based in China, United States and Australia. Xiaochun Yang's co-authors include Joyce Li, Dawn P. Richards, Bryan K. Beattie, John Parkinson, José M. Peregrín-Alvarez, Gareth Butland, Veronica Canadien, Andrew Emili, Andrei Starostine and Michael Davey and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecules.

In The Last Decade

Xiaochun Yang

27 papers receiving 1.3k citations

Hit Papers

Interaction network conta... 2005 2026 2012 2019 2005 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaochun Yang 909 325 130 101 91 28 1.3k
A. Eichinger 821 0.9× 185 0.6× 90 0.7× 111 1.1× 49 0.5× 41 1.4k
Daniel Chelsky 1.1k 1.2× 193 0.6× 79 0.6× 80 0.8× 93 1.0× 36 1.5k
Gregor Zlokarnik 1.1k 1.2× 130 0.4× 58 0.4× 128 1.3× 127 1.4× 11 1.7k
Hyeon Joo 1.2k 1.3× 121 0.4× 62 0.5× 70 0.7× 114 1.3× 11 1.6k
John Eargle 1.4k 1.6× 144 0.4× 53 0.4× 184 1.8× 80 0.9× 31 1.8k
Laura E. Zawadzke 682 0.8× 122 0.4× 51 0.4× 178 1.8× 66 0.7× 22 1.1k
Hiroshi Takemoto 1.1k 1.2× 143 0.4× 109 0.8× 62 0.6× 84 0.9× 65 1.7k
Izabela Sokolowska 793 0.9× 155 0.5× 100 0.8× 58 0.6× 433 4.8× 36 1.1k
Javier García‐Nafría 1.4k 1.5× 103 0.3× 178 1.4× 82 0.8× 163 1.8× 31 1.6k
Mathieu Rappas 1.4k 1.6× 520 1.6× 122 0.9× 125 1.2× 56 0.6× 29 1.7k

Countries citing papers authored by Xiaochun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochun Yang

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

All Works

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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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