Ying‐Hung Lin

76 papers receiving 2.1k citations

Peers

Ying‐Hung Lin
Comparison fields: 5 of 124
  • Reproductive Medicine 642
  • Bioengineering 263
  • Aging 33
  • Public Health, Environmental and Occupational Health 461
  • Genetics 439
Replace Zeng‐Ming Yang with:
Zeng‐Ming Yang China
Grazia Galleri Italy
Sook Young Yoon South Korea
Vinay Narwal India
Xiaoli Zhang China
S. C. Ng Singapore
Amy Milsted United States
Xiaojin He China
Christiane Albrecht Switzerland
Shai Rahimipour Israel
Ying‐Hung Lin relative to Zeng‐Ming Yang China Zeng‐Ming Yang's profile →
Citations per field
00.5×6.7×
Zeng‐Ming Yang · 1×
Citations per year

Countries citing papers authored by Ying‐Hung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Hung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Hung Lin. 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 Ying‐Hung Lin. The network helps show where Ying‐Hung Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007106
2 2012105
3 2015103
4 201497
5 200982
6 200275
7 200664
8 201864
9 201560
10 201559
11 199555
12 201555
13 201652
14 201451
15 201145
16 201545
17 201544
18 201244
19 201543
20 201538

About Ying‐Hung Lin

Ying‐Hung Lin is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Electrical and Electronic Engineering, having authored 80 papers that have together received 2.1k indexed citations. Recurring topics across this work include Sperm and Testicular Function (25 papers), Reproductive Biology and Fertility (22 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Gas Sensing Nanomaterials and Sensors (9 papers), Renal and related cancers (6 papers), Analytical Chemistry and Sensors (5 papers), Advanced Chemical Sensor Technologies (5 papers) and Nuclear Structure and Function (4 papers). The work is most often cited by research in Reproductive Medicine (642 citations), Bioengineering (263 citations), Aging (33 citations), Public Health, Environmental and Occupational Health (461 citations) and Genetics (439 citations). Ying‐Hung Lin has collaborated with scholars based in Taiwan, China and India. Frequent co-authors include Pao‐Lin Kuo, Han‐Sun Chiang, Yen‐Ni Teng, Yung-Ming Lin, Yung‐Che Kuo, Chao‐Chin Hsu, Linghui Zhu, Yayun Wang, Dongming Sun and Jingran Zhou. Their work appears in journals such as International Journal of Molecular Sciences, Fertility and Sterility, RSC Advances, Journal of Assisted Reproduction and Genetics and PLoS ONE.

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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