Xiaochun Chi

20 total papers · 1.8k total citations
14 papers, 379 citations indexed

About

Xiaochun Chi is a scholar working on Cell Biology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Xiaochun Chi has authored 14 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cell Biology, 6 papers in Molecular Biology and 4 papers in Immunology and Allergy. Recurrent topics in Xiaochun Chi's work include Cell Adhesion Molecules Research (4 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Xiaochun Chi is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Xiaochun Chi collaborates with scholars based in China and United States. Xiaochun Chi's co-authors include Hongquan Zhang, Danyu Lu, Jun Zhan, Jiagui Song, Yunling Wang, Gaoyang Zhu, Ning Hou, Ye‐Guang Chen, Jing‐Dong J. Han and Zhongwei Li and has published in prestigious journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Xiaochun Chi

14 papers receiving 376 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaochun Chi 274 105 74 63 37 14 379
Catherine Savona 218 0.8× 71 0.7× 74 1.0× 83 1.3× 69 1.9× 15 386
Holly Dupuis 222 0.8× 72 0.7× 65 0.9× 74 1.2× 58 1.6× 15 410
Kanchana Natarajan 226 0.8× 87 0.8× 57 0.8× 40 0.6× 20 0.5× 11 356
Eszter Doma 211 0.8× 65 0.6× 49 0.7× 72 1.1× 54 1.5× 16 352
I‐Hua Liu 215 0.8× 84 0.8× 44 0.6× 87 1.4× 53 1.4× 13 357
Danyu Lu 287 1.0× 51 0.5× 39 0.5× 32 0.5× 35 0.9× 19 395
Mari Aikio 168 0.6× 73 0.7× 80 1.1× 43 0.7× 63 1.7× 10 357
X. Mao 315 1.1× 101 1.0× 28 0.4× 44 0.7× 23 0.6× 11 411
Po-Chao Chan 277 1.0× 157 1.5× 161 2.2× 50 0.8× 54 1.5× 13 441
Liesbeth Hoekman 292 1.1× 135 1.3× 65 0.9× 61 1.0× 28 0.8× 23 419

Countries citing papers authored by Xiaochun Chi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochun Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochun Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochun Chi. A scholar is included among the top collaborators of Xiaochun Chi 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 Chi. Xiaochun Chi 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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