Xiaoming Ning
Impact in
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- Cancer Mechanisms and Therapy
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- Cancer-related molecular mechanisms research
Papers in
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- Mechanisms of cancer metastasis 3
- Genomics and Chromatin Dynamics 2
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- Cancer Mechanisms and Therapy 4
- Co-authors
- Min Xiao (7 shared papers)Shanshan Yang (6 shared papers)Robert Haining (1 shared paper)Ge Lou (3 shared papers)Yunyan Zhang (3 shared papers)Xiaochuan Wang (2 shared papers)Cong Li (2 shared papers)Yuanxi Huang (2 shared papers)
- Journals
- Histopathology (2 papers)Human Pathology (2 papers)International Journal of Gynecological Cancer (2 papers)Biomarkers (1 paper)Cell Biology International (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoming Ning
20 papers receiving 411 citations
Peers
Comparison fields: 5 of 69
- Pathology and Forensic Medicine 109
- Cancer Research 73
- Obstetrics and Gynecology 32
- Molecular Biology 254
- Oncology 99
Countries citing papers authored by Xiaoming Ning
This map shows the geographic impact of Xiaoming 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 Xiaoming Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Ning more than expected).
Fields of papers citing papers by Xiaoming Ning
This network shows the impact of papers produced by Xiaoming 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 Xiaoming Ning. The network helps show where Xiaoming Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 49 | |
| 2 | 2011 | 41 | |
| 3 | 2014 | 40 | |
| 4 | 2012 | 35 | |
| 5 | 2016 | 25 | |
| 6 | 2015 | 24 | |
| 7 | 2012 | 23 | |
| 8 | 2017 | 23 | |
| 9 | 2003 | 23 | |
| 10 | 2012 | 22 | |
| 11 | 2017 | 21 | |
| 12 | 2013 | 20 | |
| 13 | 2011 | 18 | |
| 14 | 2013 | 16 | |
| 15 | 2014 | 14 | |
| 16 | 2013 | 14 | |
| 17 | 2011 | 5 | |
| 18 | 2008 | 2 | |
| 19 | 2010 | 1 | |
| 20 | 2020 | 1 |
About Xiaoming Ning
Xiaoming Ning is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Obstetrics and Gynecology and Reproductive Medicine, having authored 20 papers that have together received 417 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Cancer Mechanisms and Therapy (4 papers), Mechanisms of cancer metastasis (3 papers), Peptidase Inhibition and Analysis (3 papers), Cancer Cells and Metastasis (2 papers), Genomics and Chromatin Dynamics (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (109 citations), Cancer Research (73 citations), Obstetrics and Gynecology (32 citations), Molecular Biology (254 citations) and Oncology (99 citations). Xiaoming Ning has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Min Xiao, Shanshan Yang, Robert Haining, Ge Lou, Yunyan Zhang, Xiaochuan Wang, Cong Li, Yuanxi Huang, Bairong Xia and Yunduo Liu. Their work appears in journals such as Histopathology, Human Pathology, International Journal of Gynecological Cancer, Biomarkers and Cell Biology International.
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.