Xiujuan Chang

60 total papers · 1.1k total citations
37 papers, 717 citations indexed

About

Xiujuan Chang is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Xiujuan Chang has authored 37 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hepatology, 17 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Xiujuan Chang's work include Liver Disease Diagnosis and Treatment (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers) and Hepatitis B Virus Studies (8 papers). Xiujuan Chang is often cited by papers focused on Liver Disease Diagnosis and Treatment (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers) and Hepatitis B Virus Studies (8 papers). Xiujuan Chang collaborates with scholars based in China, United States and India. Xiujuan Chang's co-authors include Yongping Yang, Yinying Lu, Wenlin Bai, Jianhui Qu, Chunping Wang, Linjing An, Xudong Gao, Min Lou, Zhen Zeng and Ke‐Qin Hu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Hepatology.

In The Last Decade

Xiujuan Chang

36 papers receiving 703 citations

Author Peers

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

Author Last Decade Papers Cites
Xiujuan Chang 344 216 205 132 109 37 717
L Dubuisson 266 0.8× 192 0.9× 136 0.7× 97 0.7× 87 0.8× 30 681
Mitsuo Toyoda 372 1.1× 220 1.0× 205 1.0× 72 0.5× 84 0.8× 31 684
Zhuolun Song 272 0.8× 227 1.1× 172 0.8× 68 0.5× 83 0.8× 52 723
Romain Désert 172 0.5× 213 1.0× 279 1.4× 91 0.7× 163 1.5× 28 681
Toshimasa Okada 171 0.5× 164 0.8× 345 1.7× 135 1.0× 175 1.6× 44 658
Akihiro Deguchi 382 1.1× 232 1.1× 146 0.7× 101 0.8× 120 1.1× 41 676
Norio Noguchi 346 1.0× 190 0.9× 203 1.0× 266 2.0× 144 1.3× 41 845
Ryoko Yamada 418 1.2× 426 2.0× 244 1.2× 174 1.3× 99 0.9× 50 898
Varinder Athwal 222 0.6× 249 1.2× 249 1.2× 79 0.6× 71 0.7× 35 773
Véronique Neaud 308 0.9× 110 0.5× 305 1.5× 234 1.8× 146 1.3× 29 807

Countries citing papers authored by Xiujuan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xiujuan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiujuan Chang

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