Da‐Yuan Chen

5.6k citations
148 papers · 4.2k · h-index 39

Impact in

Papers in

Da‐Yuan Chen

147 papers receiving 4.0k citations

Peers

Da‐Yuan Chen
Comparison fields: 5 of 132
  • Reproductive Medicine 747
  • Public Health, Environmental and Occupational Health 2.4k
  • Aging 115
  • Cell Biology 758
  • Molecular Biology 2.3k
Replace Li Chen with:
Li Chen China
Na Wang China
Frank A. Simmen United States
Lin Liu China
Shoulong Deng China
Chandrima Shaha India
Kyung‐Ah Lee South Korea
Cécile Polge France
Paola Piomboni Italy
Larry Johnson United States
Da‐Yuan Chen relative to Li Chen China Li Chen's profile →
Citations per field
00.5×2×4×5.1×
Li Chen · 1×
Citations per year

Countries citing papers authored by Da‐Yuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Da‐Yuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da‐Yuan 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 Da‐Yuan Chen. The network helps show where Da‐Yuan Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985283
2 2009181
3 2013150
4 2002123
5 200791
6 201187
7 200287
8 200884
9 200376
10 200769
11 200468
12 200467
13 200766
14 200965
15 200463
16 202159
17 200859
18 200657
19 200356
20 200356

About Da‐Yuan Chen

Da‐Yuan Chen is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine, Cell Biology and Genetics, having authored 148 papers that have together received 4.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (104 papers), Pluripotent Stem Cells Research (40 papers), Renal and related cancers (31 papers), Sperm and Testicular Function (29 papers), Microtubule and mitosis dynamics (26 papers), Epigenetics and DNA Methylation (21 papers), Animal Genetics and Reproduction (12 papers) and Ovarian function and disorders (9 papers). The work is most often cited by research in Reproductive Medicine (747 citations), Public Health, Environmental and Occupational Health (2.4k citations), Aging (115 citations), Cell Biology (758 citations) and Molecular Biology (2.3k citations). Da‐Yuan Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qing‐Yuan Sun, Frank J. Longo, Heide Schatten, Heng‐Yu Fan, Yi Hou, Zhisheng Zhong, Li‐Jun Huo, Ying‐Chun Ouyang, Zhiming Han and Lian Li. Their work appears in journals such as Biology of Reproduction, Reproduction, Cell Cycle, Journal of Reproduction and Development and Molecular Reproduction and Development.

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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