Jun Peng
Impact in
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- Acupuncture Treatment Research Studies
- Neurology top 2%
- Neurological Disease Mechanisms and Treatments
Papers in
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- Natural product bioactivities and synthesis 13
- Hedgehog Signaling Pathway Studies 8
- Oncology 37
- Cancer-related Molecular Pathways 12
- Cancer Cells and Metastasis 8
- Co-authors
- Jiumao Lin (28 shared papers)Aling Shen (56 shared papers)Youqin Chen (47 shared papers)Jiumao Lin (26 shared papers)Thomas J. Sferra (37 shared papers)Zhenfeng Hong (25 shared papers)Qiaoyan Cai (22 shared papers)Lihui Wei (21 shared papers)
- Journals
- Oncology Reports (15 papers)International Journal of Molecular Medicine (9 papers)Chinese Journal of Integrative Medicine (8 papers)International Journal of Oncology (6 papers)Biomedicine & Pharmacotherapy (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Peng
130 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 112
- Complementary and alternative medicine 501
- Neurology 285
- Pharmacology 275
- Pharmacology 468
- Cancer Research 398
Countries citing papers authored by Jun Peng
This map shows the geographic impact of Jun Peng'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 Jun Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Peng more than expected).
Fields of papers citing papers by Jun Peng
This network shows the impact of papers produced by Jun Peng. 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 Jun Peng. The network helps show where Jun Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Peng, 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 119 | |
| 2 | 2000 | 104 | |
| 3 | 2013 | 99 | |
| 4 | 2014 | 90 | |
| 5 | 2013 | 77 | |
| 6 | 2012 | 71 | |
| 7 | 2012 | 71 | |
| 8 | 2019 | 69 | |
| 9 | 2013 | 65 | |
| 10 | 2012 | 63 | |
| 11 | 2013 | 62 | |
| 12 | 2012 | 61 | |
| 13 | 2019 | 57 | |
| 14 | 2013 | 55 | |
| 15 | 2014 | 51 | |
| 16 | 2013 | 48 | |
| 17 | 2023 | 45 | |
| 18 | 2015 | 44 | |
| 19 | 2018 | 40 | |
| 20 | 2012 | 38 |
About Jun Peng
Jun Peng is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmacology and Complementary and alternative medicine, having authored 136 papers that have together received 3.2k indexed citations. Recurring topics across this work include Flavonoids in Medical Research (13 papers), Natural product bioactivities and synthesis (13 papers), Cancer-related Molecular Pathways (12 papers), Acupuncture Treatment Research Studies (8 papers), Cancer Cells and Metastasis (8 papers), Traditional Chinese Medicine Analysis (8 papers), Hedgehog Signaling Pathway Studies (8 papers) and Healthcare and Venom Research (7 papers). The work is most often cited by research in Complementary and alternative medicine (501 citations), Neurology (285 citations), Pharmacology (275 citations), Pharmacology (468 citations) and Cancer Research (398 citations). Jun Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiumao Lin, Aling Shen, Youqin Chen, Jiumao Lin, Thomas J. Sferra, Zhenfeng Hong, Qiaoyan Cai, Lihui Wei, Lidian Chen and Jing Tao. Their work appears in journals such as Oncology Reports, International Journal of Molecular Medicine, Chinese Journal of Integrative Medicine, International Journal of Oncology and Biomedicine & Pharmacotherapy.
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.