Wen Di
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Sphingolipid Metabolism and Signaling 13
- Immunology 44
- Reproductive System and Pregnancy 26
- Co-authors
- Lihua Qiu (40 shared papers)Wenjing Wang (12 shared papers)Lan Dai (18 shared papers)Xia Yin (28 shared papers)Yifeng He (9 shared papers)Meiying Zhang (10 shared papers)Xiangjun Sun (5 shared papers)Liying Gu (23 shared papers)
- Journals
- Journal of Ovarian Research (7 papers)PLoS ONE (7 papers)Cancer Letters (6 papers)International Journal of Oncology (6 papers)Biomaterials (6 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wen Di
216 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 166
- Cancer Research 1.3k
- Reproductive Medicine 668
- Immunology 1.4k
- Obstetrics and Gynecology 402
- Molecular Biology 3.3k
Countries citing papers authored by Wen Di
This map shows the geographic impact of Wen Di'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 Wen Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Di more than expected).
Fields of papers citing papers by Wen Di
This network shows the impact of papers produced by Wen Di. 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 Wen Di. The network helps show where Wen Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen Di, 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 230 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 407 | |
| 2 | 2020 | 203 | |
| 3 | 2021 | 130 | |
| 4 | 2020 | 120 | |
| 5 | 2013 | 110 | |
| 6 | 2020 | 109 | |
| 7 | 2010 | 109 | |
| 8 | 2018 | 107 | |
| 9 | 2019 | 103 | |
| 10 | 2008 | 101 | |
| 11 | 2014 | 101 | |
| 12 | 2016 | 96 | |
| 13 | 2006 | 90 | |
| 14 | 2020 | 89 | |
| 15 | 2011 | 88 | |
| 16 | 2017 | 86 | |
| 17 | 2019 | 86 | |
| 18 | 2014 | 85 | |
| 19 | 2019 | 82 | |
| 20 | 2015 | 81 |
About Wen Di
Wen Di is a scholar working on Molecular Biology, Immunology, Reproductive Medicine, Cancer Research and Public Health, Environmental and Occupational Health, having authored 230 papers that have together received 6.6k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (26 papers), Ovarian cancer diagnosis and treatment (22 papers), Cervical Cancer and HPV Research (18 papers), MicroRNA in disease regulation (13 papers), Sphingolipid Metabolism and Signaling (13 papers), Pregnancy and preeclampsia studies (12 papers), Pregnancy and Medication Impact (11 papers) and Systemic Lupus Erythematosus Research (11 papers). The work is most often cited by research in Cancer Research (1.3k citations), Reproductive Medicine (668 citations), Immunology (1.4k citations), Obstetrics and Gynecology (402 citations) and Molecular Biology (3.3k citations). Wen Di has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lihua Qiu, Wenjing Wang, Lan Dai, Xia Yin, Yifeng He, Meiying Zhang, Xiangjun Sun, Liying Gu, Ning Zhang and Aimin Zhao. Their work appears in journals such as Journal of Ovarian Research, PLoS ONE, Cancer Letters, International Journal of Oncology and Biomaterials.
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.