Lih-Ren Chen

1.9k citations
54 papers · 1.4k · h-index 20

Impact in

    • Carbohydrate Chemistry and Synthesis
    • Glycosylation and Glycoproteins Research
    • Pluripotent Stem Cells Research
    • Enzyme Catalysis and Immobilization
    • Chemical Synthesis and Analysis
    • CRISPR and Genetic Engineering

Papers in

Lih-Ren Chen

54 papers receiving 1.3k citations

Peers

Lih-Ren Chen
Comparison fields: 5 of 94
  • Organic Chemistry 547
  • Molecular Biology 874
  • Biochemistry 78
  • Reproductive Medicine 64
  • Biotechnology 64
Replace Gilbert Briand with:
Gilbert Briand France
Shridhar Bhat United States
Piliang Hao China
Hoyun Lee Canada
Remigiusz Serwa Poland
Brett D. Schwartz Australia
Linda F. Epstein United States
Thomas A. Beyer United States
William P. Heal United Kingdom
Gool F. Patel United States
Lih-Ren Chen relative to Gilbert Briand France Gilbert Briand's profile →
Citations per field
00.5×3.1×
Gilbert Briand · 1×
Citations per year

Countries citing papers authored by Lih-Ren Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lih-Ren Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lih-Ren Chen. 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 Lih-Ren Chen. The network helps show where Lih-Ren Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991153
2 1995133
3 1997117
4 199279
5 199572
6 200771
7 200668
8 199167
9 200356
10 201253
11 199052
12 200332
13 201727
14 199427
15 200827
16 200726
17 200223
18 200623
19 199922
20 201620

About Lih-Ren Chen

Lih-Ren Chen is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Organic Chemistry, Genetics and Reproductive Medicine, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (9 papers), Pluripotent Stem Cells Research (6 papers), Sperm and Testicular Function (6 papers), CRISPR and Genetic Engineering (6 papers), Photonic Crystals and Applications (5 papers), Animal Genetics and Reproduction (5 papers), Photonic and Optical Devices (5 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Organic Chemistry (547 citations), Molecular Biology (874 citations), Biochemistry (78 citations), Reproductive Medicine (64 citations) and Biotechnology (64 citations). Lih-Ren Chen has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Kevin K.‐C. Liu, Chi Huey Wong, Tetsuya Kajimoto, Chi‐Huey Wong, Darryl H. Steensma, Yoshitaka Ichikawa, Ziyang Zhong, David P. Dumas, Chi Huey Wong and Yow‐Ling Shiue. Their work appears in journals such as Animal Reproduction Science, Journal of the American Chemical Society, Journal of Medicinal Chemistry, Theriogenology 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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