Su Wang

3.1k citations
51 papers · 1.8k · 1 hit paper · h-index 18

Impact in

Papers in

    • Hepatitis B Virus Studies 26
    • Liver Disease Diagnosis and Treatment 12
    • Hepatitis C virus research 25
    • Hepatitis Viruses Studies and Epidemiology 7

Su Wang

47 papers receiving 1.8k citations

Hit Papers

Zika Virus NS4A and NS4B Proteins Deregulate Akt-mTOR Signaling in Human Fetal Neural Stem Cells to Inhibit Neurogenesis and Induce Autophagy 2016 · 394 citations
3940+3+6Years since publication100200300

Peers

Su Wang
Comparison fields: 5 of 119
  • Developmental Neuroscience 188
  • Hepatology 316
  • Molecular Medicine 131
  • Epidemiology 690
  • Infectious Diseases 303
Replace Jun Yao with:
Jun Yao China
Mohammad Husain India
Klaus‐Peter Zimmer Germany
Puneet Kumar Gupta India
Susan C. Wright United States
Mohsen Mohammadi Iran
Hong Zhou China
Ying‐Ray Lee Taiwan
Ulrich F. Schade Germany
Su Wang relative to Jun Yao China Jun Yao's profile →
Citations per field
00.5×10.4×
Jun Yao · 1×
Citations per year

Countries citing papers authored by Su Wang

Since Specialization
Citations

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

Fields of papers citing papers by Su Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Zika Virus NS4A and NS4B Proteins Deregulate Akt-mTOR Signaling in Human Fetal Neural Stem Cells to Inhibit Neurogenesis and Induce Autophagy
Hit paper breakdown →
2016394
2 2008246
3 1998192
4 2002180
5 2005105
6 200792
7 201975
8 202061
9 202058
10 200455
11 201848
12 201142
13 202240
14 201832
15 200227
16 201120
17 202020
18 202317
19 202217
20 200013

About Su Wang

Su Wang is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Molecular Biology and Immunology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (26 papers), Hepatitis C virus research (25 papers), Liver Disease Diagnosis and Treatment (12 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Immunotherapy and Immune Responses (3 papers), Food Security and Health in Diverse Populations (2 papers), HIV/AIDS Research and Interventions (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Developmental Neuroscience (188 citations), Hepatology (316 citations), Molecular Medicine (131 citations), Epidemiology (690 citations) and Infectious Diseases (303 citations). Su Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Steven A. Goldman, Chung S. Yang, Zhifei Luo, Jianxiong Zeng, Qiming Liang, Jae U. Jung, Jianning Ge, Weiqiang Chen, Zhen Zhao and Berislav V. Zloković. Their work appears in journals such as ˜The œLancet. Gastroenterology & hepatology, Journal of Viral Hepatitis, Frontiers in Public Health, Cell stem cell and Viruses.

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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