Yang Wang
Impact in
- Endocrinology top 1%
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Bacterial biofilms and quorum sensing 14
- RNA modifications and cancer 12
-
- Streptococcal Infections and Treatments 45
- Co-authors
- Li Yi (47 shared papers)Philip A. Marsden (2 shared papers)Daniel Grenier (14 shared papers)Michael R. Kanost (1 shared paper)Jeremy A. Ross (1 shared paper)Haobo Jiang (1 shared paper)Chengping Lu (9 shared papers)Baobao Liu (15 shared papers)
- Journals
- PLoS ONE (10 papers)Applied Microbiology and Biotechnology (6 papers)Veterinary Microbiology (6 papers)Microbial Pathogenesis (5 papers)Frontiers in Microbiology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yang Wang
229 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 154
- Endocrinology 403
- Cancer Research 923
- Microbiology 382
- Molecular Biology 3.0k
- Molecular Medicine 203
Countries citing papers authored by Yang Wang
This map shows the geographic impact of Yang 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 Yang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Wang more than expected).
Fields of papers citing papers by Yang Wang
This network shows the impact of papers produced by Yang 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 Yang Wang. The network helps show where Yang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 237 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 269 | |
| 2 | 2001 | 199 | |
| 3 | 2013 | 182 | |
| 4 | 2017 | 174 | |
| 5 | 1999 | 162 | |
| 6 | 1995 | 155 | |
| 7 | 2017 | 147 | |
| 8 | 2018 | 144 | |
| 9 | 2019 | 130 | |
| 10 | 2009 | 128 | |
| 11 | 2011 | 98 | |
| 12 | 2017 | 98 | |
| 13 | 2006 | 97 | |
| 14 | 2020 | 97 | |
| 15 | 2014 | 96 | |
| 16 | 2017 | 94 | |
| 17 | 2013 | 91 | |
| 18 | 2010 | 79 | |
| 19 | 2018 | 78 | |
| 20 | 2015 | 78 |
About Yang Wang
Yang Wang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Cancer Research, Infectious Diseases and Endocrinology, having authored 237 papers that have together received 6.1k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (45 papers), Antimicrobial Resistance in Staphylococcus (24 papers), Microbial infections and disease research (17 papers), Cancer-related molecular mechanisms research (16 papers), Infections and bacterial resistance (16 papers), MicroRNA in disease regulation (16 papers), Bacterial biofilms and quorum sensing (14 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Endocrinology (403 citations), Cancer Research (923 citations), Microbiology (382 citations), Molecular Biology (3.0k citations) and Molecular Medicine (203 citations). Yang Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Li Yi, Philip A. Marsden, Daniel Grenier, Michael R. Kanost, Jeremy A. Ross, Haobo Jiang, Chengping Lu, Baobao Liu, Derek C. Newton and Tingting Weng. Their work appears in journals such as PLoS ONE, Applied Microbiology and Biotechnology, Veterinary Microbiology, Microbial Pathogenesis and Frontiers in Microbiology.
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.