Peng Su
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
- Cancer Cells and Metastasis
Papers in
- Cell Biology 12
- Hippo pathway signaling and YAP/TAZ 12
- Oncology 14
- Drug Transport and Resistance Mechanisms 8
- Cancer Cells and Metastasis 3
- Co-authors
- Qifeng Yang (16 shared papers)Gengyin Zhou (14 shared papers)Ning Zhang (10 shared papers)Hanwen Zhang (10 shared papers)Bing Chen (10 shared papers)Ying Liu (7 shared papers)Wenjing Zhao (9 shared papers)Xiaofang Zhang (9 shared papers)
- Journals
- Diagnostic Pathology (5 papers)Oncogene (5 papers)Journal of Experimental & Clinical Cancer Research (4 papers)Frontiers in Oncology (3 papers)Cancer Science (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Peng Su
74 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 61
- Cancer Research 399
- Oncology 245
- Cell Biology 134
- Molecular Biology 569
- Geriatrics and Gerontology 13
Countries citing papers authored by Peng Su
This map shows the geographic impact of Peng Su'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 Peng Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Su more than expected).
Fields of papers citing papers by Peng Su
This network shows the impact of papers produced by Peng Su. 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 Peng Su. The network helps show where Peng Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Su, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 158 | |
| 2 | 2021 | 145 | |
| 3 | 2019 | 121 | |
| 4 | 2019 | 112 | |
| 5 | 2012 | 99 | |
| 6 | 2019 | 69 | |
| 7 | 2013 | 68 | |
| 8 | 2020 | 68 | |
| 9 | 2017 | 66 | |
| 10 | 2023 | 62 | |
| 11 | 2023 | 58 | |
| 12 | 2022 | 57 | |
| 13 | 2022 | 53 | |
| 14 | 2010 | 52 | |
| 15 | 2015 | 43 | |
| 16 | 2020 | 41 | |
| 17 | 2011 | 39 | |
| 18 | 2012 | 38 | |
| 19 | 2020 | 37 | |
| 20 | 2015 | 36 |
About Peng Su
Peng Su is a scholar working on Cell Biology, Oncology, Cancer Research, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (12 papers), Drug Transport and Resistance Mechanisms (8 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Circular RNAs in diseases (4 papers), Breast Cancer Treatment Studies (4 papers), Cancer Cells and Metastasis (3 papers), Estrogen and related hormone effects (3 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (399 citations), Oncology (245 citations), Cell Biology (134 citations), Molecular Biology (569 citations) and Geriatrics and Gerontology (13 citations). Peng Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qifeng Yang, Gengyin Zhou, Ning Zhang, Hanwen Zhang, Bing Chen, Ying Liu, Wenjing Zhao, Xiaofang Zhang, Yaming Li and Meena S. Moran. Their work appears in journals such as Diagnostic Pathology, Oncogene, Journal of Experimental & Clinical Cancer Research, Frontiers in Oncology and Cancer Science.
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.