Neng-Jin Wang

570 citations
5 papers · 302 · h-index 4

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis C virus research
    • Carcinogens and Genotoxicity Assessment
    • Cancer Genomics and Diagnostics

Papers in

    • Cell death mechanisms and regulation 1
    • Molecular Biology Techniques and Applications 1
    • Hepatitis B Virus Studies 1

Neng-Jin Wang

5 papers receiving 291 citations

Peers

Neng-Jin Wang
Comparison fields: 5 of 55
  • Hepatology 110
  • Cancer Research 70
  • Epidemiology 118
  • Oncology 80
  • Pathology and Forensic Medicine 31
Replace Di Qu with:
Di Qu China
Doriane Gouas France
Guoting Liu China
Pradhyumna Muralidharan India
Lianqing Lou China
Abdel-Rahman United States
Ying Xie China
Yoon Ik Lee South Korea
Hua Sun China
Yukiko Saitou Japan
Neng-Jin Wang relative to Di Qu China Di Qu's profile →
Citations per field
00.5×2.8×
Di Qu · 1×
Citations per year

Countries citing papers authored by Neng-Jin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Neng-Jin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2002167
2 2017100
3
Epidermal growth factor receptor pathway polymorphisms and the prognosis of hepatocellular carcinoma.
201526
4 20177
5 19972

About Neng-Jin Wang

Neng-Jin Wang is a scholar working on Molecular Biology, Epidemiology, Hepatology, Cancer Research and Pathology and Forensic Medicine, having authored 5 papers that have together received 302 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cancer, Lipids, and Metabolism (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Hepatitis B Virus Studies (1 paper), Cell death mechanisms and regulation (1 paper), Mycotoxins in Agriculture and Food (1 paper), Molecular Biology Techniques and Applications (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Hepatology (110 citations), Cancer Research (70 citations), Epidemiology (118 citations), Oncology (80 citations) and Pathology and Forensic Medicine (31 citations). Neng-Jin Wang has collaborated with scholars based in China and United States. Frequent co-authors include Zongtang Sun, Peixin Lu, Snorri S. Thorgeirsson, Guoting Liu, Lihua Ming, Mitchell H. Gail, Curtis C. Harris, Zhiyuan Wu, Xiaohong Wang and Siyuan He. Their work appears in journals such as Hepatology, Gastroenterology, PLoS ONE and PubMed.

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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