Fen Ning
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- Immunology top 10%
- Reproductive System and Pregnancy
- Immune cells in cancer
Papers in
- Immunology 11
- Reproductive System and Pregnancy 8
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- Pregnancy and preeclampsia studies 9
- Co-authors
- Gendie E. Lash (15 shared papers)Huishu Liu (1 shared paper)Shaohui Cai (5 shared papers)Jun Du (7 shared papers)Ge Zhang (3 shared papers)Haifang Wang (3 shared papers)Zongcai Liu (6 shared papers)Hao Wang (2 shared papers)
- Journals
- Placenta (4 papers)Molecular Human Reproduction (2 papers)Cancer Research and Treatment (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Annals of Translational Medicine (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Fen Ning
31 papers receiving 891 citations
Peers
Comparison fields: 5 of 90
- Obstetrics and Gynecology 165
- Immunology 323
- Reproductive Medicine 69
- Oncology 207
- Cancer Research 106
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 204 | |
| 2 | 2013 | 120 | |
| 3 | 2016 | 91 | |
| 4 | 2016 | 65 | |
| 5 | 2021 | 45 | |
| 6 | 2013 | 42 | |
| 7 | 2017 | 41 | |
| 8 | 2012 | 36 | |
| 9 | 2018 | 30 | |
| 10 | 2016 | 27 | |
| 11 | 2019 | 24 | |
| 12 | 2020 | 22 | |
| 13 | Endogenous Nodal promotes melanoma undergoing epithelial-mesenchymal transition via Snail and Slug in vitro and in vivo. | 2015 | 22 |
| 14 | 2017 | 20 | |
| 15 | 2015 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2020 | 11 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 7 |
About Fen Ning
Fen Ning is a scholar working on Immunology, Obstetrics and Gynecology, Molecular Biology, Oncology and Surgery, having authored 32 papers that have together received 897 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Reproductive System and Pregnancy (8 papers), Cancer Cells and Metastasis (5 papers), Endometriosis Research and Treatment (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Maternal and fetal healthcare (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Obstetrics and Gynecology (165 citations), Immunology (323 citations), Reproductive Medicine (69 citations), Oncology (207 citations) and Cancer Research (106 citations). Fen Ning has collaborated with scholars based in China, United States and France. Frequent co-authors include Gendie E. Lash, Huishu Liu, Shaohui Cai, Jun Du, Ge Zhang, Haifang Wang, Zongcai Liu, Hao Wang, Hongsheng Wang and Haifang Wang. Their work appears in journals such as Placenta, Molecular Human Reproduction, Cancer Research and Treatment, Frontiers in Cell and Developmental Biology and Annals of Translational 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.