I.Y. Huang

1.3k total citations
20 papers, 1.1k citations indexed

About

I.Y. Huang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, I.Y. Huang has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in I.Y. Huang's work include Trace Elements in Health (3 papers), Heavy Metal Exposure and Toxicity (3 papers) and Enzyme function and inhibition (2 papers). I.Y. Huang is often cited by papers focused on Trace Elements in Health (3 papers), Heavy Metal Exposure and Toxicity (3 papers) and Enzyme function and inhibition (2 papers). I.Y. Huang collaborates with scholars based in United States, Japan and Taiwan. I.Y. Huang's co-authors include Akira Yoshida, Michiharu Ikawa, Merlin S. Bergdoll, Chaka C. Impraim, Tohru Ikuta, T. Takizawa, A Yoshida, Edward J. Schantz, Sih‐Han Liao and Richard A. Hiipakka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

I.Y. Huang

19 papers receiving 989 citations

Peers

I.Y. Huang
Comparison fields: 5 of 107
  • Molecular Biology 428
  • Pathology and Forensic Medicine 313
  • Nutrition and Dietetics 164
  • Health, Toxicology and Mutagenesis 132
  • Epidemiology 122
AM Ferraris Italy
GF Gaetani Italy
Richard Edwards United Kingdom
Osamu Midorikawa Japan
Theodore C. Iancu Israel
Michiyasu Awai Japan
M. Noshiro Japan
Pierpaolo Coni Italy
F. Van Hoof Belgium
Ruth Freudinger Germany
AM Ferraris Italy View profile →
Citations per field, relative to I.Y. Huang
I.Y. Huang · 1×
Citations per year, relative to I.Y. Huang
I.Y. Huang · 1×

Countries citing papers authored by I.Y. Huang

Since Specialization
Citations

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

Fields of papers citing papers by I.Y. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.Y. Huang. 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 I.Y. Huang. The network helps show where I.Y. Huang may publish in the future.

Co-authorship network of co-authors of I.Y. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of I.Y. Huang. A scholar is included among the top collaborators of I.Y. Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with I.Y. Huang. I.Y. Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 19
3 8
4 40
5 18
6 49
7 87
8 374
9 15
10 60
11 66
12 25
13 56
14 16
15 67
16 87
17 3
18 24
19 32
20 23

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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