Binxia Chang

893 citations
21 papers · 658 · h-index 11

Impact in

Papers in

Binxia Chang

21 papers receiving 655 citations

Peers

Binxia Chang
Comparison fields: 5 of 71
  • Pathology and Forensic Medicine 322
  • Hepatology 105
  • Biochemistry 91
  • Epidemiology 413
  • Endocrinology, Diabetes and Metabolism 118
Replace Kyle L. Poulsen with:
Kyle L. Poulsen United States
Chanbin Lee South Korea
Gemma Òdena Spain
Jan Petrášek United States
Svenja Sydor Germany
Akitoshi Douhara Japan
Oriol Morales‐Ibanez Spain
Fernando Javier Barreyro Argentina
Mutsumi Tsuchishima Japan
Heidrun Mehling Germany
Binxia Chang relative to Kyle L. Poulsen United States Kyle L. Poulsen's profile →
Citations per field
00.5×8.4×
Kyle L. Poulsen · 1×
Citations per year

Countries citing papers authored by Binxia Chang

Since Specialization
Citations

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

Fields of papers citing papers by Binxia Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Binxia Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Binxia Chang Line = papers co-authored together Binxia Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015161
2 2014152
3 2015113
4 200444
5 201733
6 201733
7 202122
8 201818
9 201818
10 201814
11 201411
12 20177
13 20146
14 20245
15 20215
16 20164
17 20223
18 20243
19 20203
20
[Comparative study on clinical features of 215 patients with acute and subacute severe hepatitis.].
20062

About Binxia Chang

Binxia Chang is a scholar working on Epidemiology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Hepatology and Molecular Biology, having authored 21 papers that have together received 658 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (16 papers), Alcohol Consumption and Health Effects (12 papers), Diet, Metabolism, and Disease (7 papers), IL-33, ST2, and ILC Pathways (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Eosinophilic Esophagitis (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (322 citations), Hepatology (105 citations), Biochemistry (91 citations), Epidemiology (413 citations) and Endocrinology, Diabetes and Metabolism (118 citations). Binxia Chang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bin Gao, Zhengsheng Zou, Hua Wang, Adeline Bertola, Mingjiang Xu, Wei Wang, Yan Cai, Man Li, Dechun Feng and George Kunos. Their work appears in journals such as Hepatology, Frontiers in Pharmacology, Journal of Cellular and Molecular Medicine, Clinical Infectious Diseases and Medicine.

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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