H D Chern

837 citations
12 papers · 694 · h-index 9

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Genetics top 10%
    • Estrogen and related hormone effects
    • BRCA gene mutations in cancer

Papers in

H D Chern

12 papers receiving 672 citations

Peers

H D Chern
Comparison fields: 5 of 74
  • Pharmacology 144
  • Genetics 251
  • Cancer Research 109
  • Oncology 176
  • Molecular Biology 343
Replace Alan C. Gough with:
Alan C. Gough United Kingdom
Cynthia Cline United States
Chika Tazawa Japan
Rosane Vianna‐Jorge Brazil
Saime Aksoy United States
Zhengwen Jiang China
Jessica Pham United States
Scott P. Myrand United States
Gong Xiao United States
J H Gronich United States
H D Chern relative to Alan C. Gough United Kingdom Alan C. Gough's profile →
Citations per field
00.5×10×15×
Alan C. Gough · 1×
Citations per year

Countries citing papers authored by H D Chern

Since Specialization
Citations

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

Fields of papers citing papers by H D Chern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H D Chern. 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 D Chern. The network helps show where H D Chern may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Breast cancer risk associated with genotype polymorphism of the estrogen-metabolizing genes CYP17, CYP1A1, and COMT: a multigenic study on cancer susceptibility.
1999247
2
Characterization of an allelic variant in the nifedipine-specific element of CYP3A4: ethnic distribution and implications for prostate cancer risk. Mutations in brief no. 191. Online.
199894
3 199976
4 199970
5 199959
6 200159
7 199957
8 199513
9 200210
10 20205
11 20252
12 19972

About H D Chern

H D Chern is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Neurology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 694 indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (6 papers), Pharmacogenetics and Drug Metabolism (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Estrogen and related hormone effects (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Neurological diseases and metabolism (1 paper) and Methemoglobinemia and Tumor Lysis Syndrome (1 paper). The work is most often cited by research in Pharmacology (144 citations), Genetics (251 citations), Cancer Research (109 citations), Oncology (176 citations) and Molecular Biology (343 citations). H D Chern has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chiun‐Sheng Huang, King‐Jen Chang, Chen‐Yang Shen, S M Hsu, Ming‐Whei Yu, O. I. Olopade, Yunn‐Fang Ho, Kai‐Hsiang Chen, James M. Jaffe and Shelly Cummings. Their work appears in journals such as British Journal of Cancer, ACS Chemical Neuroscience, Journal of Food and Drug Analysis, American Journal of Epidemiology and Journal of Neural Transmission.

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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