John Wang

1.7k citations
46 papers · 1.4k · h-index 19

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

John Wang

46 papers receiving 1.3k citations

Peers

John Wang
Comparison fields: 5 of 93
  • Hepatology 116
  • Genetics 107
  • Oncology 227
  • Cell Biology 109
  • Developmental Neuroscience 21
Replace Hsin Chieh Lin with:
Hsin Chieh Lin United States
Jo-Anne S. Hongo United States
Fumiko Itoh Japan
Jackelyn A. Alva United States
Claudia Korn Germany
Marco Arese Italy
Asaf Spiegel Israel
Rob Keijzer Netherlands
Virginie Mattot France
Karin Aase Sweden
John Wang relative to Hsin Chieh Lin United States Hsin Chieh Lin's profile →
Citations per field
00.5×1.7×
Hsin Chieh Lin · 1×
Citations per year

Countries citing papers authored by John Wang

Since Specialization
Citations

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

Fields of papers citing papers by John Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013159
2 2019126
3 2017124
4 2014121
5 201093
6 200892
7 200759
8 202045
9 201441
10 202241
11 200731
12 198730
13 201329
14 200926
15 201026
16 200725
17
Spectrum of Epstein-Barr virus-associated T-cell lymphoproliferative disorder in adolescents and young adults in Taiwan.
201421
18 201821
19 200219
20 200319

About John Wang

John Wang is a scholar working on Oncology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Genetics and Hepatology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (3 papers), Chemokine receptors and signaling (3 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Hepatitis C virus research (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Histiocytic Disorders and Treatments (2 papers). The work is most often cited by research in Hepatology (116 citations), Genetics (107 citations), Oncology (227 citations), Cell Biology (109 citations) and Developmental Neuroscience (21 citations). John Wang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Holger Knaut, Charles Nicholson, Eric Reynolds, Vipul Patel, Wen-Ching Shen, Yung‐Chih Lai, Yueh‐Ling Hsieh, Shih‐Chieh Hung, Ling‐Hui Li and Chen‐Chia Yang. Their work appears in journals such as Alimentary Pharmacology & Therapeutics, Brain Pathology, Neurological Research, Journal of Molecular Cell Biology and Life.

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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