Yaning Wang
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 7
- Advanced biosensing and bioanalysis techniques 6
- Genetics 26
- Glioma Diagnosis and Treatment 23
- Co-authors
- Martin Vanderlaan (1 shared paper)An Song (1 shared paper)Wenbin Ma (30 shared papers)Yu Wang (23 shared papers)Bruce A. Averill (3 shared papers)Yuekun Wang (18 shared papers)Linsen Zan (8 shared papers)Ziren Kong (16 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Frontiers in Oncology (4 papers)PLoS ONE (3 papers)Frontiers in Immunology (3 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Yaning Wang
118 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 139
- Genetics 317
- Cancer Research 369
- Molecular Biology 1.1k
- Radiology, Nuclear Medicine and Imaging 289
- Oncology 337
Countries citing papers authored by Yaning Wang
This map shows the geographic impact of Yaning Wang'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 Yaning Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaning Wang more than expected).
Fields of papers citing papers by Yaning Wang
This network shows the impact of papers produced by Yaning Wang. 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 Yaning Wang. The network helps show where Yaning Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaning Wang, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 359 | |
| 2 | 1996 | 177 | |
| 3 | 2022 | 127 | |
| 4 | 1995 | 106 | |
| 5 | 2021 | 101 | |
| 6 | 2015 | 77 | |
| 7 | 2017 | 67 | |
| 8 | 2022 | 61 | |
| 9 | 2018 | 59 | |
| 10 | 2011 | 55 | |
| 11 | 1996 | 50 | |
| 12 | 2019 | 50 | |
| 13 | 2023 | 46 | |
| 14 | 2014 | 43 | |
| 15 | 2018 | 42 | |
| 16 | 2017 | 41 | |
| 17 | 2018 | 41 | |
| 18 | 2019 | 40 | |
| 19 | 2018 | 39 | |
| 20 | 2017 | 38 |
About Yaning Wang
Yaning Wang is a scholar working on Molecular Biology, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 119 papers that have together received 2.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (9 papers), RNA modifications and cancer (7 papers), Immune Cell Function and Interaction (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Adipose Tissue and Metabolism (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Genetics (317 citations), Cancer Research (369 citations), Molecular Biology (1.1k citations), Radiology, Nuclear Medicine and Imaging (289 citations) and Oncology (337 citations). Yaning Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Martin Vanderlaan, An Song, Wenbin Ma, Yu Wang, Bruce A. Averill, Yuekun Wang, Linsen Zan, Ziren Kong, Wucai Yang and Yingying Zhang. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Oncology, PLoS ONE, Frontiers in Immunology and Journal of the American Chemical Society.
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.