Pei‐Jung Lu
Impact in
- Molecular Biology top 1%
- Signaling Pathways in Disease
- Ubiquitin and proteasome pathways
- Circular RNAs in diseases
- Oncology top 2%
- Peptidase Inhibition and Analysis
Papers in
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- Bioactive Compounds and Antitumor Agents 6
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- MicroRNA in disease regulation 6
- Co-authors
- Kun Ping LuXiao Zhen ZhouMinhui ShenMichael HsiaoPeter DaviesGerburg M. WulfYih-Cherng LiouChia-Ning Yang
- Journals
- Annals of Surgical Oncology (6 papers)Journal of Biological Chemistry (4 papers)Biochemistry (4 papers)Oncogene (4 papers)American Journal of Respiratory and Critical Care Medicine (3 papers)
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Pei‐Jung Lu
99 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 4.0k
- Oncology 1.5k
- Cancer Research 799
- Immunology 878
- Cell Biology 637
Countries citing papers authored by Pei‐Jung Lu
This map shows the geographic impact of Pei‐Jung Lu'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‐Jung Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Jung Lu more than expected).
Fields of papers citing papers by Pei‐Jung Lu
This network shows the impact of papers produced by Pei‐Jung Lu. 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‐Jung Lu. The network helps show where Pei‐Jung Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pei‐Jung Lu, 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 | 2024 | 5 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 5 | |
| 4 | 2016 | 27 | |
| 5 | 2016 | 19 | |
| 6 | 2016 | 19 | |
| 7 | 2016 | 7 | |
| 8 | 2015 | 22 | |
| 9 | 2014 | 91 | |
| 10 | 2014 | 59 | |
| 11 | 2013 | 24 | |
| 12 | 2012 | 180 | |
| 13 | 2012 | 170 | |
| 14 | 2009 | 9 | |
| 15 | 2009 | 143 | |
| 16 | 2009 | 12 | |
| 17 | 2008 | 64 | |
| 18 | 2008 | 18 | |
| 19 | 2008 | 8 | |
| 20 | 2002 | 206 |
About Pei‐Jung Lu
Pei‐Jung Lu is a scholar working on Toxicology, Cancer Research, Molecular Biology, Cell Biology and Oncology, having authored 100 papers that have together received 5.5k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (14 papers), Ubiquitin and proteasome pathways (9 papers), Peptidase Inhibition and Analysis (9 papers), Diet, Metabolism, and Disease (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Bioactive Compounds and Antitumor Agents (6 papers), MicroRNA in disease regulation (6 papers) and Cancer therapeutics and mechanisms (6 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Oncology (1.5k citations), Cancer Research (799 citations), Immunology (878 citations) and Cell Biology (637 citations). Pei‐Jung Lu has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Kun Ping Lu, Xiao Zhen Zhou, Minhui Shen, Michael Hsiao, Peter Davies, Gerburg M. Wulf, Yih-Cherng Liou, Chia-Ning Yang, Ching-Shih Chen and Yu‐Cheng Lee. Their work appears in journals such as Annals of Surgical Oncology, Journal of Biological Chemistry, Biochemistry, Oncogene and American Journal of Respiratory and Critical Care Medicine.
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.