H-J Wang

412 citations
11 papers · 301 · h-index 8

Impact in

Papers in

    • RNA modifications and cancer 2
    • Glutathione Transferases and Polymorphisms 1
    • Bone Metabolism and Diseases 1
    • Protist diversity and phylogeny 1
    • Cancer-related molecular mechanisms research 2

H-J Wang

11 papers receiving 292 citations

Peers

H-J Wang
Comparison fields: 5 of 62
  • Atmospheric Science 87
  • Cancer Research 55
  • Global and Planetary Change 80
  • Molecular Biology 135
  • Pharmacology 14
Replace Brian D. Griffith with:
Brian D. Griffith United States
Shunsuke Kobayashi Japan
Somsubhra Nath India
Yunhee Kim United States
Peiyan Chen China
Hinnerk Boriss Germany
Xinyao Tian China
Ruijin Liu China
Antonio García‐Méndez Spain
Hongke Cai China
H-J Wang relative to Brian D. Griffith United States Brian D. Griffith's profile →
Citations per field
00.5×3.4×
Brian D. Griffith · 1×
Citations per year

Countries citing papers authored by H-J Wang

Since Specialization
Citations

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

Fields of papers citing papers by H-J Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200193
2 201672
3 200057
4 200221
5 202012
6 202011
7 202011
8 20229
9
Fouling in offshore areas southeast of the Zhujiang (Pearl) River Delta, the northern South China Sea
20037
10
JMJD5 regulates PKM2 nuclear translocation and reprograms HIF-1alpha-mediated glucose metabolism ; JMJD5 regulates PKM2 nuclear translocation and reprograms HIF-1α-mediated glucose metabolism
20146
11 20222

About H-J Wang

H-J Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Ecology and Pharmacology, having authored 11 papers that have together received 301 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Geological and Geophysical Studies (1 paper), Glutathione Transferases and Polymorphisms (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Bone Metabolism and Diseases (1 paper) and Protist diversity and phylogeny (1 paper). The work is most often cited by research in Atmospheric Science (87 citations), Cancer Research (55 citations), Global and Planetary Change (80 citations), Molecular Biology (135 citations) and Pharmacology (14 citations). H-J Wang has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include D. B. Ryall, Richard G. Derwent, B. R. Miller, D. M. Cunnold, R. G. Prinn, S. O'Doherty, Peter K. Salameh, P. G. Simmonds, Ray F. Weiss and G. A. Sturrock. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Human & Experimental Toxicology, Aquatic Biology, Oncogene and British Journal of Cancer.

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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