Wei De
Impact in
- Cancer Research top 0.05%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies
Papers in
-
- Cancer-related molecular mechanisms research 49
- MicroRNA in disease regulation 17
-
- Pregnancy and preeclampsia studies 5
- Co-authors
- Ming Sun (31 shared papers)Rui Xia (20 shared papers)Erbao Zhang (23 shared papers)Dandan Yin (17 shared papers)Tongpeng Xu (17 shared papers)Rong Kong (11 shared papers)Xiang-hua Liu (10 shared papers)Liang Han (11 shared papers)
- Journals
- Oncotarget (10 papers)Cell Death and Disease (8 papers)Tumor Biology (7 papers)Molecular Cancer (6 papers)BMC Cancer (4 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Wei De
106 papers receiving 10.5k citations
Wei De's Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 7.8k
- Obstetrics and Gynecology 258
- Molecular Biology 1.4k
- Oncology 467
- Pulmonary and Respiratory Medicine 445
Countries citing papers authored by Wei De
This map shows the geographic impact of Wei De'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 Wei De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei De more than expected).
Fields of papers citing papers by Wei De
This network shows the impact of papers produced by Wei De. 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 Wei De. The network helps show where Wei De may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei De, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lnc RNA HOTAIR functions as a competing endogenous RNA to regulate HER2 expression by sponging miR-331-3p in gastric cancer Hit paper breakdown → | 2014 | 786 |
| 2 | 2016 | 413 | |
| 3 | 2014 | 388 | |
| 4 | 2013 | 338 | |
| 5 | 2014 | 302 | |
| 6 | 2015 | 287 | |
| 7 | 2016 | 276 | |
| 8 | 2013 | 273 | |
| 9 | 2014 | 268 | |
| 10 | 2011 | 259 | |
| 11 | 2013 | 259 | |
| 12 | 2018 | 232 | |
| 13 | 2014 | 230 | |
| 14 | 2014 | 217 | |
| 15 | 2012 | 199 | |
| 16 | 2014 | 188 | |
| 17 | 2018 | 186 | |
| 18 | 2015 | 184 | |
| 19 | 2012 | 165 | |
| 20 | 2017 | 150 |
About Wei De
Wei De is a scholar working on Cancer Research, Obstetrics and Gynecology, Urology, Surgery and Molecular Biology, having authored 106 papers that have together received 10.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (49 papers), MicroRNA in disease regulation (17 papers), Pancreatic function and diabetes (9 papers), Pregnancy and preeclampsia studies (5 papers), Hair Growth and Disorders (4 papers), Cell death mechanisms and regulation (4 papers), Renin-Angiotensin System Studies (4 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Cancer Research (7.8k citations), Obstetrics and Gynecology (258 citations), Molecular Biology (1.4k citations), Oncology (467 citations) and Pulmonary and Respiratory Medicine (445 citations). Wei De has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Ming Sun, Rui Xia, Erbao Zhang, Dandan Yin, Tongpeng Xu, Rong Kong, Xiang-hua Liu, Liang Han, Zhaoxia Wang and Zhao-xia Wang. Their work appears in journals such as Oncotarget, Cell Death and Disease, Tumor Biology, Molecular Cancer and BMC Cancer.
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.