Yaohe Wang
Impact in
- Genetics top 0.5%
- Virus-based gene therapy research
- Biotechnology top 0.5%
- Cancer Research and Treatments
Papers in
- Co-authors
- Nicholas R. Lemoine (45 shared papers)David H. Kirn (10 shared papers)Louisa S. Chard (32 shared papers)Giulia Marelli (5 shared papers)M. S. Ferguson (2 shared papers)Gunnel Halldén (9 shared papers)Ming Yuan (11 shared papers)Jennelle Francis (8 shared papers)
- Journals
- Frontiers in Immunology (10 papers)Cancer Research (6 papers)Molecular Therapy (6 papers)Journal for ImmunoTherapy of Cancer (5 papers)Gene Therapy (4 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Yaohe Wang
127 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 121
- Genetics 2.4k
- Biotechnology 624
- Oncology 1.8k
- Immunology 671
- Molecular Biology 1.8k
Countries citing papers authored by Yaohe Wang
This map shows the geographic impact of Yaohe 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 Yaohe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaohe Wang more than expected).
Fields of papers citing papers by Yaohe Wang
This network shows the impact of papers produced by Yaohe 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 Yaohe Wang. The network helps show where Yaohe Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaohe 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 220 | |
| 2 | 2012 | 181 | |
| 3 | 2007 | 173 | |
| 4 | 2007 | 160 | |
| 5 | 2017 | 144 | |
| 6 | 2010 | 136 | |
| 7 | 2004 | 135 | |
| 8 | 2003 | 133 | |
| 9 | 2005 | 125 | |
| 10 | 2007 | 118 | |
| 11 | 2017 | 115 | |
| 12 | 2003 | 94 | |
| 13 | 2015 | 90 | |
| 14 | 2016 | 77 | |
| 15 | 2008 | 76 | |
| 16 | 2010 | 74 | |
| 17 | 2004 | 74 | |
| 18 | 2022 | 73 | |
| 19 | 2019 | 73 | |
| 20 | 2004 | 70 |
About Yaohe Wang
Yaohe Wang is a scholar working on Genetics, Oncology, Molecular Biology, Biotechnology and Immunology, having authored 128 papers that have together received 4.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (68 papers), CAR-T cell therapy research (42 papers), Cancer Research and Treatments (23 papers), Immunotherapy and Immune Responses (13 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), RNA Interference and Gene Delivery (11 papers), CRISPR and Genetic Engineering (11 papers) and Viral gastroenteritis research and epidemiology (7 papers). The work is most often cited by research in Genetics (2.4k citations), Biotechnology (624 citations), Oncology (1.8k citations), Immunology (671 citations) and Molecular Biology (1.8k citations). Yaohe Wang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Nicholas R. Lemoine, David H. Kirn, Louisa S. Chard, Giulia Marelli, M. S. Ferguson, Gunnel Halldén, Ming Yuan, Jennelle Francis, Han Hsi Wong and Zhenguo Cheng. Their work appears in journals such as Frontiers in Immunology, Cancer Research, Molecular Therapy, Journal for ImmunoTherapy of Cancer and Gene Therapy.
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.