Tailing Wang

1.4k citations
36 papers · 647 · h-index 13

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 11
    • Hepatitis B Virus Studies 6
    • Liver physiology and pathology 4
    • Liver Disease and Transplantation 4
    • Hepatitis C virus research 3
    • Liver Diseases and Immunity 3

Tailing Wang

34 papers receiving 633 citations

Peers

Tailing Wang
Comparison fields: 5 of 74
  • Hepatology 214
  • Developmental Neuroscience 35
  • Epidemiology 273
  • Pharmacology 57
  • Cellular and Molecular Neuroscience 71
Replace Fwj Dijkhuis with:
Fwj Dijkhuis Netherlands
Yasukata Ohashi Japan
Marc Lübberstedt Germany
Shi Chang China
Tong Huang China
Jian Ding China
Tamara Severi Belgium
Thomas Knorpp Germany
Seiya Tada Japan
Chunpan Zhang China
Tailing Wang relative to Fwj Dijkhuis Netherlands Fwj Dijkhuis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tailing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tailing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tailing Wang, 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 Tailing Wang Line = papers co-authored together Tailing Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008111
2 202076
3 201461
4 200754
5 201540
6 201833
7 201033
8 201028
9 201524
10 201815
11 201315
12 201614
13 202113
14 201812
15 201912
16
[Establishment of a D-galactosamine/lipopolysaccharide induced acute-on-chronic liver failure model in rats].
200712
17 200911
18 201411
19 201410
20 201510

About Tailing Wang

Tailing Wang is a scholar working on Epidemiology, Hepatology, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 36 papers that have together received 647 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Hepatitis B Virus Studies (6 papers), Liver physiology and pathology (4 papers), Liver Disease and Transplantation (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Hepatitis C virus research (3 papers), Liver Diseases and Immunity (3 papers) and Advanced X-ray Imaging Techniques (3 papers). The work is most often cited by research in Hepatology (214 citations), Developmental Neuroscience (35 citations), Epidemiology (273 citations), Pharmacology (57 citations) and Cellular and Molecular Neuroscience (71 citations). Tailing Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Aifeng Zhang, Jidong Jia, Xiaoguang Li, Zhaoyang Yang, Weichang Chen, Xinyan Zhao, Hong You, Xiaojuan Ou, Bao-en Wang and Jialing Zhou. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Hepatology International, Scientific Reports, Journal of Medical Virology and PLoS ONE.

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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