Pei‐Ju Lien
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
- Oncology 18
- HER2/EGFR in Cancer Research 10
- Cancer Treatment and Pharmacology 3
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- PI3K/AKT/mTOR signaling in cancer 4
- Co-authors
- Sandra C. Souza (1 shared paper)Ling‐Ming Tseng (28 shared papers)Yi‐Fang Tsai (19 shared papers)Yueching Wong (1 shared paper)Sheng‐Miauh Huang (8 shared papers)Chih‐Yi Hsu (13 shared papers)Chun‐Yu Liu (13 shared papers)Ta‐Chung Chao (15 shared papers)
- Journals
- Supportive Care in Cancer (2 papers)Scientific Reports (1 paper)Worldviews on Evidence-Based Nursing (1 paper)Diabetes (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Pei‐Ju Lien
31 papers receiving 359 citations
Peers
Comparison fields: 5 of 73
- Biochemistry 44
- Reproductive Medicine 39
- Cancer Research 61
- Physiology 91
- Oncology 81
Countries citing papers authored by Pei‐Ju Lien
This map shows the geographic impact of Pei‐Ju Lien'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 Pei‐Ju Lien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Ju Lien more than expected).
Fields of papers citing papers by Pei‐Ju Lien
This network shows the impact of papers produced by Pei‐Ju Lien. 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 Pei‐Ju Lien. The network helps show where Pei‐Ju Lien may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Ju Lien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 147 | |
| 2 | Survey on eating disorders related thoughts, behaviors and dietary intake in female junior high school students in Taiwan. | 2011 | 36 |
| 3 | 2021 | 20 | |
| 4 | 2018 | 16 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 10 | |
| 7 | 2018 | 10 | |
| 8 | 2016 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2021 | 4 |
About Pei‐Ju Lien
Pei‐Ju Lien is a scholar working on Oncology, Molecular Biology, Cancer Research, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 367 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (10 papers), Ovarian function and disorders (6 papers), Breast Cancer Treatment Studies (6 papers), Reproductive Health and Technologies (6 papers), Advanced Breast Cancer Therapies (6 papers), Reproductive Biology and Fertility (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Biochemistry (44 citations), Reproductive Medicine (39 citations), Cancer Research (61 citations), Physiology (91 citations) and Oncology (81 citations). Pei‐Ju Lien has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Sandra C. Souza, Ling‐Ming Tseng, Yi‐Fang Tsai, Yueching Wong, Sheng‐Miauh Huang, Chih‐Yi Hsu, Chun‐Yu Liu, Ta‐Chung Chao, Yuling Wang and Jen‐Hwey Chiu. Their work appears in journals such as Supportive Care in Cancer, Scientific Reports, Worldviews on Evidence-Based Nursing, Diabetes and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.