Yaping Wang
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
-
- HIV Research and Treatment
Papers in
-
- Acute Lymphoblastic Leukemia research 5
- Innovations in Medical Education 2
- Oncology 8
- Colorectal Cancer Screening and Detection 2
- Co-authors
- Jingru Yang (2 shared papers)Minghong Bi (1 shared paper)Yongjun Fang (11 shared papers)Larry D. Teeter (1 shared paper)Charles L. Daley (1 shared paper)Yael Hirsch‐Moverman (1 shared paper)Randall Reves (1 shared paper)Robert Belknap (1 shared paper)
- Journals
- Cell Death and Disease (3 papers)PLoS ONE (2 papers)Thrombosis Research (1 paper)Gene (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yaping Wang
27 papers receiving 539 citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 162
- Virology 18
- Cancer Research 46
- Public Health, Environmental and Occupational Health 71
- Hematology 26
Countries citing papers authored by Yaping Wang
This map shows the geographic impact of Yaping 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 Yaping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Wang more than expected).
Fields of papers citing papers by Yaping Wang
This network shows the impact of papers produced by Yaping 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 Yaping Wang. The network helps show where Yaping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaping 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 148 | |
| 2 | 2019 | 118 | |
| 3 | 2012 | 49 | |
| 4 | 2013 | 47 | |
| 5 | 2009 | 45 | |
| 6 | 2018 | 28 | |
| 7 | 2024 | 15 | |
| 8 | 2016 | 15 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2014 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2022 | 3 |
About Yaping Wang
Yaping Wang is a scholar working on Public Health, Environmental and Occupational Health, Oncology, Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health, having authored 31 papers that have together received 549 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (5 papers), Epigenetics and DNA Methylation (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Immune Cell Function and Interaction (2 papers), Colorectal Cancer Screening and Detection (2 papers), Estrogen and related hormone effects (2 papers), Acute Myeloid Leukemia Research (2 papers) and Innovations in Medical Education (2 papers). The work is most often cited by research in Infectious Diseases (162 citations), Virology (18 citations), Cancer Research (46 citations), Public Health, Environmental and Occupational Health (71 citations) and Hematology (26 citations). Yaping Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingru Yang, Minghong Bi, Yongjun Fang, Larry D. Teeter, Charles L. Daley, Yael Hirsch‐Moverman, Randall Reves, Robert Belknap, Matthew Parker and Paul Weinfurter. Their work appears in journals such as Cell Death and Disease, PLoS ONE, Thrombosis Research, Gene and Medicine.
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.