Xiaoling Weng
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
Papers in
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Cancer Genomics and Diagnostics 3
- Oncology 8
- Co-authors
- Fatao Liu (13 shared papers)Yun Liu (13 shared papers)Junyi Ye (10 shared papers)Daizhan Zhou (9 shared papers)Lin He (6 shared papers)Hong Zhang (4 shared papers)Mengyuan Kan (7 shared papers)Xiang Jun Meng (4 shared papers)
- Journals
- Oncogene (3 papers)Gene (2 papers)Cellular Signalling (2 papers)Clinical Cancer Research (2 papers)BMC Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiaoling Weng
39 papers receiving 1.5k citations
Xiaoling Weng's Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 330
- Oncology 291
- Obstetrics and Gynecology 64
- Aquatic Science 65
- Immunology 177
Countries citing papers authored by Xiaoling Weng
This map shows the geographic impact of Xiaoling Weng'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 Xiaoling Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Weng more than expected).
Fields of papers citing papers by Xiaoling Weng
This network shows the impact of papers produced by Xiaoling Weng. 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 Xiaoling Weng. The network helps show where Xiaoling Weng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Weng, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Whole-exome and targeted gene sequencing of gallbladder carcinoma identifies recurrent mutations in the ErbB pathway Hit paper breakdown → | 2014 | 357 |
| 2 | 2014 | 181 | |
| 3 | 2018 | 95 | |
| 4 | 2019 | 94 | |
| 5 | 2018 | 71 | |
| 6 | 2021 | 56 | |
| 7 | 2021 | 55 | |
| 8 | 2018 | 52 | |
| 9 | 2015 | 49 | |
| 10 | 2015 | 45 | |
| 11 | 2013 | 43 | |
| 12 | 2014 | 43 | |
| 13 | 2015 | 32 | |
| 14 | 2015 | 22 | |
| 15 | 2017 | 22 | |
| 16 | 2021 | 22 | |
| 17 | 2014 | 20 | |
| 18 | 2021 | 20 | |
| 19 | 2017 | 19 | |
| 20 | 2015 | 19 |
About Xiaoling Weng
Xiaoling Weng is a scholar working on Cancer Research, Oncology, Ophthalmology, Molecular Biology and Obstetrics and Gynecology, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (5 papers), MicroRNA in disease regulation (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), RNA modifications and cancer (4 papers), Retinal Diseases and Treatments (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (330 citations), Oncology (291 citations), Obstetrics and Gynecology (64 citations), Aquatic Science (65 citations) and Immunology (177 citations). Xiaoling Weng has collaborated with scholars based in China, United States and France. Frequent co-authors include Fatao Liu, Yun Liu, Junyi Ye, Daizhan Zhou, Lin He, Hong Zhang, Mengyuan Kan, Xiang Jun Meng, Lidan Hou and Jianhua Wang. Their work appears in journals such as Oncogene, Gene, Cellular Signalling, Clinical Cancer Research and BMC Neuroscience.
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.