Lei-Chin Chen
Impact in
- Reproductive Medicine top 10%
- Endometriosis Research and Treatment
- Obstetrics and Gynecology top 10%
- Uterine Myomas and Treatments
- Endometrial and Cervical Cancer Treatments
Papers in
-
- Protein Tyrosine Phosphatases 2
- Melanoma and MAPK Pathways 1
-
- Inflammatory mediators and NSAID effects 4
- Co-authors
- Ben‐Kuen Chen (4 shared papers)Wen-Chang Chang (3 shared papers)Wen‐Chang Chang (2 shared papers)Yiwen Liu (1 shared paper)Meng‐Hsing Wu (1 shared paper)Shaw‐Jenq Tsai (1 shared paper)Chu-An Wang (1 shared paper)Yun‐Ju Chen (3 shared papers)
- Journals
- Anticancer Research (2 papers)The Journal of Immunology (1 paper)Environmental and Molecular Mutagenesis (1 paper)BioMed Research International (1 paper)Journal of Natural Products (1 paper)
- Partner nations
- TaiwanUnited StatesEgypt
In The Last Decade
Lei-Chin Chen
14 papers receiving 471 citations
Peers
Comparison fields: 5 of 84
- Reproductive Medicine 93
- Obstetrics and Gynecology 56
- Immunology 127
- Cancer Research 87
- Pharmacology 75
Countries citing papers authored by Lei-Chin Chen
This map shows the geographic impact of Lei-Chin 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 Lei-Chin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei-Chin Chen more than expected).
Fields of papers citing papers by Lei-Chin Chen
This network shows the impact of papers produced by Lei-Chin 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 Lei-Chin Chen. The network helps show where Lei-Chin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei-Chin Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 108 | |
| 2 | 2003 | 97 | |
| 3 | 2013 | 66 | |
| 4 | 2004 | 37 | |
| 5 | 2011 | 30 | |
| 6 | 2014 | 27 | |
| 7 | 2005 | 24 | |
| 8 | 2015 | 24 | |
| 9 | 2012 | 20 | |
| 10 | 2002 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2011 | 8 | |
| 14 | 2024 | 1 |
About Lei-Chin Chen
Lei-Chin Chen is a scholar working on Molecular Biology, Pharmacology, Cancer Research, Genetics and Oncology, having authored 14 papers that have together received 476 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (4 papers), Estrogen and related hormone effects (3 papers), Protein Tyrosine Phosphatases (2 papers), NF-κB Signaling Pathways (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Computational Drug Discovery Methods (1 paper), Melanoma and MAPK Pathways (1 paper) and GABA and Rice Research (1 paper). The work is most often cited by research in Reproductive Medicine (93 citations), Obstetrics and Gynecology (56 citations), Immunology (127 citations), Cancer Research (87 citations) and Pharmacology (75 citations). Lei-Chin Chen has collaborated with scholars based in Taiwan, United States and Egypt. Frequent co-authors include Ben‐Kuen Chen, Wen-Chang Chang, Wen‐Chang Chang, Yiwen Liu, Meng‐Hsing Wu, Shaw‐Jenq Tsai, Chu-An Wang, Yun‐Ju Chen, Jia‐Ming Chang and Wei‐Chien Huang. Their work appears in journals such as Anticancer Research, The Journal of Immunology, Environmental and Molecular Mutagenesis, BioMed Research International and Journal of Natural Products.
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.