Yeming Wang
Impact in
- Aging top 10%
-
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
Papers in ⓘ
- Aging 1
- Co-authors
- Traci M. Tanaka Hall (5 shared papers)Thomas A. Steitz (1 shared paper)Y. Zuo (1 shared paper)Hwai‐Chen Guo (4 shared papers)Marvin Wickens (4 shared papers)Laura Opperman (2 shared papers)Phillip D. Zamore (1 shared paper)Elif Sarinay Cenik (1 shared paper)
- Journals
- Molecular Cell (2 papers)Open Forum Infectious Diseases (2 papers)Journal of Biological Chemistry (2 papers)Journal of Molecular Biology (2 papers)eLife (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yeming Wang
22 papers receiving 684 citations
Peers
Comparison fields: 5 of 82
- Aging 29
- Molecular Biology 564
- Genetics 126
- Cancer Research 61
- Immunology 59
Countries citing papers authored by Yeming Wang
This map shows the geographic impact of Yeming 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 Yeming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeming Wang more than expected).
Fields of papers citing papers by Yeming Wang
This network shows the impact of papers produced by Yeming 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 Yeming Wang. The network helps show where Yeming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeming 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 141 | |
| 2 | 2011 | 110 | |
| 3 | 2009 | 92 | |
| 4 | 2005 | 49 | |
| 5 | 2011 | 45 | |
| 6 | 2023 | 35 | |
| 7 | 2011 | 33 | |
| 8 | 2021 | 28 | |
| 9 | 2003 | 22 | |
| 10 | 2010 | 22 | |
| 11 | 2020 | 22 | |
| 12 | 2021 | 18 | |
| 13 | 2006 | 15 | |
| 14 | 2019 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2019 | 11 | |
| 17 | 2021 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 3 |
About Yeming Wang
Yeming Wang is a scholar working on Aging, Biological Psychiatry, Infectious Diseases, Internal Medicine and Molecular Biology, having authored 24 papers that have together received 691 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (5 papers), COVID-19 Clinical Research Studies (4 papers), RNA Interference and Gene Delivery (4 papers), RNA modifications and cancer (4 papers), Glycosylation and Glycoproteins Research (3 papers), Respiratory viral infections research (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Aging (29 citations), Molecular Biology (564 citations), Genetics (126 citations), Cancer Research (61 citations) and Immunology (59 citations). Yeming Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Traci M. Tanaka Hall, Thomas A. Steitz, Y. Zuo, Hwai‐Chen Guo, Marvin Wickens, Laura Opperman, Phillip D. Zamore, Elif Sarinay Cenik, Gang Lu and Ryuya Fukunaga. Their work appears in journals such as Molecular Cell, Open Forum Infectious Diseases, Journal of Biological Chemistry, Journal of Molecular Biology and eLife.
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.