Ying-Kai Wang

1.3k citations
22 papers · 426 · h-index 12

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Antifungal resistance and susceptibility
    • HIV/AIDS drug development and treatment

Papers in

    • HIV/AIDS drug development and treatment 10
    • Antifungal resistance and susceptibility 3
    • Hepatitis C virus research 12

Ying-Kai Wang

22 papers receiving 418 citations

Peers

Ying-Kai Wang
Comparison fields: 5 of 62
  • Hepatology 111
  • Infectious Diseases 226
  • Epidemiology 186
  • Business and International Management 8
  • Organic Chemistry 71
Replace Long V. Pham with:
Long V. Pham Denmark
Shin-ichiro Hattori Japan
Guangyi Wang China
Inna L. Karpenko Russia
Xue Zhou China
Shi Feng China
A Bertasso United States
Xuzhao Zhang China
Keisuke Yusa Japan
Ying-Kai Wang relative to Long V. Pham Denmark Long V. Pham's profile →
Citations per field
00.5×2.6×
Long V. Pham · 1×
Citations per year

Countries citing papers authored by Ying-Kai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Kai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999119
2 201447
3 200543
4 200628
5 201122
6 201420
7 201417
8 200616
9 202116
10 201215
11 202413
12 201111
13 19989
14 20178
15 20118
16 20178
17 20077
18 20115
19 20235
20 20223

About Ying-Kai Wang

Ying-Kai Wang is a scholar working on Infectious Diseases, Hepatology, Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 426 indexed citations. Recurring topics across this work include Hepatitis C virus research (12 papers), HIV/AIDS drug development and treatment (10 papers), Hepatitis B Virus Studies (7 papers), Antifungal resistance and susceptibility (3 papers), MicroRNA in disease regulation (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Fungal Infections and Studies (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Hepatology (111 citations), Infectious Diseases (226 citations), Epidemiology (186 citations), Business and International Management (8 citations) and Organic Chemistry (71 citations). Ying-Kai Wang has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Elena Rustchenko, Rachel A. Baker, Richard D. Cannon, Frank Fischer, Fred Sherman, Masakazu Niimi, Karen Rigat, Susan B. Roberts, Jay Greenberg and M. Anaul Kabir. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Bacteriology, Oncology Reports, Antimicrobial Agents and Chemotherapy and Archives of Biochemistry and Biophysics.

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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