Ning‐Fu Peng
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Breast Cancer Treatment Studies
- Cancer, Lipids, and Metabolism
Papers in
- Oncology 7
- Cancer Treatment and Pharmacology 2
- HER2/EGFR in Cancer Research 2
-
- Hepatocellular Carcinoma Treatment and Prognosis 7
- Co-authors
- Ying‐Yang Liao (7 shared papers)Jian‐Hong Zhong (10 shared papers)Yufeng Yang (3 shared papers)Bang‐De Xiang (7 shared papers)Le‐Qun Li (5 shared papers)Liang Ma (5 shared papers)Xue‐Mei You (4 shared papers)Feixiang Wu (4 shared papers)
- Journals
- Medicine (2 papers)Tumor Biology (2 papers)Cell Biology International (1 paper)Contrast Media & Molecular Imaging (1 paper)Medical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Ning‐Fu Peng
20 papers receiving 353 citations
Peers
Comparison fields: 5 of 50
- Hepatology 111
- Cancer Research 131
- Obstetrics and Gynecology 44
- Oncology 150
- Reproductive Medicine 36
Countries citing papers authored by Ning‐Fu Peng
This map shows the geographic impact of Ning‐Fu 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 Ning‐Fu Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning‐Fu Peng more than expected).
Fields of papers citing papers by Ning‐Fu Peng
This network shows the impact of papers produced by Ning‐Fu 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 Ning‐Fu Peng. The network helps show where Ning‐Fu Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning‐Fu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 60 | |
| 2 | 2014 | 50 | |
| 3 | 2016 | 39 | |
| 4 | 2013 | 36 | |
| 5 | 2015 | 31 | |
| 6 | 2017 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2016 | 17 | |
| 9 | 2012 | 15 | |
| 10 | 2012 | 14 | |
| 11 | 2017 | 13 | |
| 12 | 2015 | 13 | |
| 13 | 2018 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2016 | 4 | |
| 16 | 2022 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 1 |
About Ning‐Fu Peng
Ning‐Fu Peng is a scholar working on Oncology, Hepatology, Cancer Research, Surgery and Molecular Biology, having authored 20 papers that have together received 356 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Cancer Treatment and Pharmacology (2 papers), Breast Cancer Treatment Studies (2 papers), Cancer, Lipids, and Metabolism (2 papers), Acute Myeloid Leukemia Research (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Hepatology (111 citations), Cancer Research (131 citations), Obstetrics and Gynecology (44 citations), Oncology (150 citations) and Reproductive Medicine (36 citations). Ning‐Fu Peng has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Ying‐Yang Liao, Jian‐Hong Zhong, Yufeng Yang, Bang‐De Xiang, Le‐Qun Li, Liang Ma, Xue‐Mei You, Feixiang Wu, Wen‐Feng Gong and Yanyan Wang. Their work appears in journals such as Medicine, Tumor Biology, Cell Biology International, Contrast Media & Molecular Imaging and Medical Oncology.
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.