Yan Ning
Impact in
- Oncology top 10%
- Colorectal Cancer Treatments and Studies
- Colorectal Cancer Screening and Detection
- Global Cancer Incidence and Screening
- Immunology and Allergy top 10%
Papers in
- Oncology 16
- Colorectal Cancer Treatments and Studies 7
- Co-authors
- Dongyun Yang (27 shared papers)Heinz‐Josef Lenz (24 shared papers)Wu Zhang (17 shared papers)Georg Lurje (3 shared papers)Laurie G. Hudson (2 shared papers)Alexandra Pohl (2 shared papers)Felicitas Lenz (1 shared paper)Andrew Hendifar (1 shared paper)
- Journals
- Journal of Clinical Oncology (13 papers)Molecular Cancer Therapeutics (4 papers)International Journal of Cancer (3 papers)Clinical Cancer Research (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yan Ning
64 papers receiving 938 citations
Peers
Comparison fields: 5 of 115
- Oncology 318
- Immunology and Allergy 49
- Reproductive Medicine 67
- Cancer Research 114
- Pathology and Forensic Medicine 136
Countries citing papers authored by Yan Ning
This map shows the geographic impact of Yan 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 Yan Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ning more than expected).
Fields of papers citing papers by Yan Ning
This network shows the impact of papers produced by Yan 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 Yan Ning. The network helps show where Yan Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 167 | |
| 2 | 2012 | 109 | |
| 3 | 2021 | 55 | |
| 4 | 2011 | 50 | |
| 5 | 2006 | 47 | |
| 6 | 2012 | 40 | |
| 7 | 2005 | 39 | |
| 8 | 2010 | 36 | |
| 9 | 2020 | 36 | |
| 10 | 2013 | 34 | |
| 11 | 2010 | 30 | |
| 12 | 2013 | 23 | |
| 13 | 2017 | 21 | |
| 14 | 2013 | 18 | |
| 15 | 2021 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2016 | 11 |
About Yan Ning
Yan Ning is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Surgery, having authored 67 papers that have together received 958 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (8 papers), Colorectal Cancer Treatments and Studies (7 papers), Gastric Cancer Management and Outcomes (6 papers), Endometrial and Cervical Cancer Treatments (5 papers), Cervical Cancer and HPV Research (5 papers), Cell Adhesion Molecules Research (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Oncology (318 citations), Immunology and Allergy (49 citations), Reproductive Medicine (67 citations), Cancer Research (114 citations) and Pathology and Forensic Medicine (136 citations). Yan Ning has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dongyun Yang, Heinz‐Josef Lenz, Wu Zhang, Georg Lurje, Laurie G. Hudson, Alexandra Pohl, Felicitas Lenz, Andrew Hendifar, Tione Buranda and Thomas Winder. Their work appears in journals such as Journal of Clinical Oncology, Molecular Cancer Therapeutics, International Journal of Cancer, Clinical Cancer Research and Scientific Reports.
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.