Fen Ning
Impact in
- Immunology top 10%
- Reproductive System and Pregnancy
- Immune cells in cancer
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Pregnancy and preeclampsia studies 9
- Immunology 10
- Reproductive System and Pregnancy 7
- Co-authors
- Gendie E. Lash (16 shared papers)Huishu Liu (1 shared paper)Ge Zhang (3 shared papers)Jun Du (7 shared papers)Shaohui Cai (5 shared papers)Haifang Wang (3 shared papers)Zongcai Liu (5 shared papers)Hao Wang (2 shared papers)
- Journals
- Placenta (4 papers)Molecular Human Reproduction (2 papers)European Journal of Pharmacology (1 paper)Tumor Biology (1 paper)F1000Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fen Ning
30 papers receiving 961 citations
Peers
Comparison fields: 5 of 69
- Immunology 240
- Oncology 226
- Obstetrics and Gynecology 92
- Periodontics 29
- Hepatology 34
Countries citing papers authored by Fen Ning
This map shows the geographic impact of Fen Ning'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 Fen Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Ning more than expected).
Fields of papers citing papers by Fen Ning
This network shows the impact of papers produced by Fen Ning. 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 Fen Ning. The network helps show where Fen Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen Ning, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 213 | |
| 2 | 2013 | 121 | |
| 3 | 2016 | 94 | |
| 4 | 2016 | 69 | |
| 5 | 2021 | 48 | |
| 6 | 2019 | 45 | |
| 7 | 2013 | 42 | |
| 8 | 2017 | 41 | |
| 9 | 2012 | 36 | |
| 10 | 2018 | 31 | |
| 11 | 2016 | 29 | |
| 12 | 2019 | 27 | |
| 13 | Endogenous Nodal promotes melanoma undergoing epithelial-mesenchymal transition via Snail and Slug in vitro and in vivo. | 2015 | 22 |
| 14 | 2020 | 22 | |
| 15 | 2017 | 20 | |
| 16 | 2021 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2020 | 11 | |
| 20 | 2022 | 9 |
About Fen Ning
Fen Ning is a scholar working on Obstetrics and Gynecology, Immunology, Oncology, Hepatology and Molecular Biology, having authored 31 papers that have together received 976 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Reproductive System and Pregnancy (7 papers), Cancer Cells and Metastasis (4 papers), TGF-β signaling in diseases (3 papers), Transplantation: Methods and Outcomes (3 papers), Liver physiology and pathology (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Immunology (240 citations), Oncology (226 citations), Obstetrics and Gynecology (92 citations), Periodontics (29 citations) and Hepatology (34 citations). Fen Ning has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gendie E. Lash, Huishu Liu, Ge Zhang, Jun Du, Shaohui Cai, Haifang Wang, Zongcai Liu, Hao Wang, Haifang Wang and Hongsheng Wang. Their work appears in journals such as Placenta, Molecular Human Reproduction, European Journal of Pharmacology, Tumor Biology and F1000Research.
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.