Ih‐Chang Hsu

3.5k citations
51 papers · 2.8k indexed · 1 hit paper · h-index 23

Ih‐Chang Hsu

50 papers receiving 2.7k citations

Hit Papers

Mutational hot spot in the p53 gene in human hepatocellul...1.2k19912026200220144008001.2k

Peers

Ih‐Chang Hsu
Comparison fields: 5 of 126
  • Cancer Research 776
  • Hepatology 249
  • Oncology 826
  • Pharmacology 240
  • Biotechnology 203
Replace David P. Aden with:
David P. Aden United States
T Sugimura Japan
Robert A. Squire United States
Jon C. Mirsalis United States
Min Li‐Weber Germany
K. J. Isselbacher United States
Shonen Yoshida Japan
Kei‐ichi Sugiyama Japan
L. Fiume Italy
P. Carthew United Kingdom
Ih‐Chang Hsu relative to David P. Aden United States David P. Aden's profile →
Citations per field
00.5×1.5×1.8×
David P. Aden · 1×
Citations per year

Countries citing papers authored by Ih‐Chang Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ih‐Chang Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ih‐Chang Hsu. 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 Ih‐Chang Hsu. The network helps show where Ih‐Chang Hsu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Capsule~(13)C-urea breath test for the diagnosis of Helicobacter pylori infection
20052
2 19980
3 199416
4 199319
5 1993219
6 199226
7
Mutational hot spot in the p53 gene in human hepatocellular carcinomasbreakdown →
19911201
8 199111
9 199037
10 1990139
11 199023
12 199011
13 19891
14 198822
15 198717
16
Comparative ultrastructural effects of aflatoxin B1 on mouse, rat, and human hepatocytes in primary culture.
198610
17 197815
18
DNA transfection of ecotropic murine leukemia viruses in mouse cell cultures.
197722
19 197611
20 197449

About Ih‐Chang Hsu

Ih‐Chang Hsu is a scholar working on Cancer Research, Pharmacology and Health, Toxicology and Mutagenesis, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (17 papers), Plant Toxicity and Pharmacological Properties (10 papers), DNA Repair Mechanisms (7 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Mycotoxins in Agriculture and Food (6 papers), Cancer-related Molecular Pathways (5 papers), DNA and Nucleic Acid Chemistry (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Cancer Research (776 citations), Hepatology (249 citations) and Oncology (826 citations). Ih‐Chang Hsu has collaborated with scholars based in United States, China and France. Frequent co-authors include Curtis C. Harris, Robert A. Metcalf, Judith A. Welsh, Tai‐ping Sun, J. R. Allen, William E. Ribelin, F. M. Strong, B F Trump, Eugene B. Smalley and M. M. Lipsky. Their work appears in journals such as Carcinogenesis, Experimental Biology and Medicine, Proceedings of the National Academy of Sciences, Chemico-Biological Interactions and Bulletin of Environmental Contamination and Toxicology.

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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