Ivan Huang

511 citations
13 papers · 386 · h-index 9

Impact in

Papers in

Ivan Huang

12 papers receiving 375 citations

Peers

Ivan Huang
Comparison fields: 5 of 68
  • Reproductive Medicine 154
  • Public Health, Environmental and Occupational Health 196
  • Pediatrics, Perinatology and Child Health 51
  • Molecular Biology 171
  • Genetics 57
Replace Seong-Sung Kwak with:
Seong-Sung Kwak South Korea
Barbara Ambruosi Italy
Gregory T. Erbach United States
Nobuyuki Masumoto Japan
J. Papadimas Greece
Ilpo Huhtaniemi Finland
Manjit K. Gill‐Sharma India
Ilona Kopera Poland
Hidemi Yokota Japan
Leopoldina Scotti Argentina
Ivan Huang relative to Seong-Sung Kwak South Korea Seong-Sung Kwak's profile →
Citations per field
00.5×1.5×2.0×
Seong-Sung Kwak · 1×
Citations per year

Countries citing papers authored by Ivan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2006171
2 200985
3
Human seminal plasma nitric oxide: correlation with sperm morphology and testosterone.
200635
4 200523
5 200819
6 200516
7 201110
8 20059
9 20129
10 20056
11 20052
12 20021
13 20250

About Ivan Huang

Ivan Huang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 386 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (6 papers), Renal and related cancers (4 papers), Ovarian function and disorders (3 papers), Sperm and Testicular Function (2 papers), Hormonal and reproductive studies (2 papers), Reproductive Health and Technologies (2 papers), Bacillus and Francisella bacterial research (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Reproductive Medicine (154 citations), Public Health, Environmental and Occupational Health (196 citations), Pediatrics, Perinatology and Child Health (51 citations), Molecular Biology (171 citations) and Genetics (57 citations). Ivan Huang has collaborated with scholars based in United States and Japan. Frequent co-authors include Douglas T. Carrell, Benjamin R. Emery, Jeanine Griffin, Charles M. Peterson, Chou-Long Huang, Ondine Cleaver, Ke Xu, Tao Wu, Jian Xie and Jeff R. Jones. Their work appears in journals such as Fertility and Sterility, Asian Journal of Andrology, Reproductive BioMedicine Online, Journal of Assisted Reproduction and Genetics and Journal of Biological Chemistry.

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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