Ling Wang

3.9k citations
93 papers · 1.8k · h-index 24

Impact in

  • Hepatology top 1%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Viral gastroenteritis research and epidemiology

Papers in

    • Hepatitis Viruses Studies and Epidemiology 26
    • Liver Disease and Transplantation 15
    • Hepatitis C virus research 3
    • Viral gastroenteritis research and epidemiology 16

Ling Wang

86 papers receiving 1.8k citations

Peers

Ling Wang
Comparison fields: 5 of 114
  • Hepatology 631
  • Infectious Diseases 472
  • Small Animals 74
  • Epidemiology 254
  • Cardiology and Cardiovascular Medicine 132
Replace Baibaswata Nayak with:
Baibaswata Nayak India
Xing Wu China
Shinya Maekawa Japan
Hodaka Suzuki Japan
Luiz Antônio Rodrigues de Freitas Brazil
Ja Seol Koo South Korea
Sumathi Ramachandran United States
Kanghong Hu China
Huan Tian China
Gerd Michel Germany
Ling Wang relative to Baibaswata Nayak India Baibaswata Nayak's profile →
Citations per field
00.5×3.9×
Baibaswata Nayak · 1×
Citations per year

Countries citing papers authored by Ling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011234
2 2007150
3 200785
4 201983
5 201870
6 201469
7 201557
8 201356
9 200554
10 202050
11 201342
12 201740
13 201539
14 200836
15 201335
16 202232
17 201832
18 201430
19 201530
20 200928

About Ling Wang

Ling Wang is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Surgery and Molecular Biology, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (26 papers), Viral gastroenteritis research and epidemiology (16 papers), Liver Disease and Transplantation (15 papers), Hepatitis B Virus Studies (6 papers), Veterinary medicine and infectious diseases (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis C virus research (3 papers) and Meta-analysis and systematic reviews (3 papers). The work is most often cited by research in Hepatology (631 citations), Infectious Diseases (472 citations), Small Animals (74 citations), Epidemiology (254 citations) and Cardiology and Cardiovascular Medicine (132 citations). Ling Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui Zhuang, Lin Wang, Lin Liu, Xueen Liu, Hang Zeng, Yulin Zhang, Manyu Li, Yanping Wang, Pei Chen and Mengmeng Cui. Their work appears in journals such as PLoS ONE, Journal of Virology, Hepatology, Archives of Virology and Infection Genetics and Evolution.

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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