Peipei Lu
Impact in
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- Cancer-related molecular mechanisms research
Papers in ⓘ
- Pharmacology 11
-
- Traditional Chinese Medicine Analysis 4
- Natural Compounds in Disease Treatment 4
- Co-authors
- Wen Xie (11 shared papers)Meishu Xu (9 shared papers)Juntian Liu (7 shared papers)Yuanyuan Ji (7 shared papers)Na Liu (5 shared papers)Wojciech G. Garbacz (4 shared papers)Jinhan He (3 shared papers)Jiong Yan (5 shared papers)
- Journals
- Chinese Journal of Integrative Medicine (3 papers)Journal of Ethnopharmacology (3 papers)Biomedicine & Pharmacotherapy (2 papers)Toxicology (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Peipei Lu
75 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 108
- Biological Psychiatry 29
- Cancer Research 141
- Pharmacology 81
- Geriatrics and Gerontology 31
- Hepatology 56
Countries citing papers authored by Peipei Lu
This map shows the geographic impact of Peipei 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 Peipei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peipei Lu more than expected).
Fields of papers citing papers by Peipei Lu
This network shows the impact of papers produced by Peipei 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 Peipei Lu. The network helps show where Peipei Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peipei 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
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 97 | |
| 2 | 2019 | 87 | |
| 3 | 2019 | 87 | |
| 4 | 2015 | 59 | |
| 5 | 2016 | 46 | |
| 6 | 2011 | 40 | |
| 7 | 2010 | 40 | |
| 8 | 2015 | 35 | |
| 9 | 2022 | 31 | |
| 10 | 2011 | 30 | |
| 11 | 2010 | 30 | |
| 12 | 2010 | 24 | |
| 13 | 2017 | 24 | |
| 14 | 2023 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2009 | 19 | |
| 17 | 2019 | 17 | |
| 18 | 2024 | 17 | |
| 19 | 2015 | 17 | |
| 20 | 2016 | 15 |
About Peipei Lu
Peipei Lu is a scholar working on Pharmacology, Complementary and alternative medicine, Hepatology, Cancer Research and Immunology, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Immune Response and Inflammation (5 papers), Traditional Chinese Medicine Analysis (4 papers), Esophageal Cancer Research and Treatment (4 papers), Natural Compounds in Disease Treatment (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Cancer Research (141 citations), Pharmacology (81 citations), Geriatrics and Gerontology (31 citations) and Hepatology (56 citations). Peipei Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wen Xie, Meishu Xu, Juntian Liu, Yuanyuan Ji, Na Liu, Wojciech G. Garbacz, Jinhan He, Jiong Yan, Fang Guo and Bingfang Hu. Their work appears in journals such as Chinese Journal of Integrative Medicine, Journal of Ethnopharmacology, Biomedicine & Pharmacotherapy, Toxicology and 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.