Cindy Wang
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Health Informatics top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 2
-
- MicroRNA in disease regulation 2
- Co-authors
- Kuni Takayama (4 shared papers)Gurdyal S. Besra (2 shared papers)Victoria J. Findlay (2 shared papers)E. Ramsay Camp (2 shared papers)Lourdes M. Nogueira (2 shared papers)Katie E. Hurst (2 shared papers)Huaxi Xu (2 shared papers)Guangyong Peng (2 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Biochemical and Biophysical Research Communications (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)Journal of Perinatology (1 paper)OncoImmunology (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Cindy Wang
24 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 352
- Health Informatics 21
- Molecular Medicine 56
- Epidemiology 268
- Cancer Research 117
Countries citing papers authored by Cindy Wang
This map shows the geographic impact of Cindy 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 Cindy Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cindy Wang more than expected).
Fields of papers citing papers by Cindy Wang
This network shows the impact of papers produced by Cindy 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 Cindy Wang. The network helps show where Cindy Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cindy 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 496 | |
| 2 | 2020 | 130 | |
| 3 | 2018 | 96 | |
| 4 | 2014 | 53 | |
| 5 | 2008 | 50 | |
| 6 | 2019 | 48 | |
| 7 | 2020 | 41 | |
| 8 | 2023 | 24 | |
| 9 | 2019 | 22 | |
| 10 | 2010 | 17 | |
| 11 | 2015 | 16 | |
| 12 | 2005 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2019 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2023 | 2 |
About Cindy Wang
Cindy Wang is a scholar working on Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Oncology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Cells and Metastasis (2 papers), Mycobacterium research and diagnosis (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), MicroRNA in disease regulation (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (352 citations), Health Informatics (21 citations), Molecular Medicine (56 citations), Epidemiology (268 citations) and Cancer Research (117 citations). Cindy Wang has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Kuni Takayama, Gurdyal S. Besra, Victoria J. Findlay, E. Ramsay Camp, Lourdes M. Nogueira, Katie E. Hurst, Huaxi Xu, Guangyong Peng, Scott A. Becker and Yun Zhu. Their work appears in journals such as Journal of Clinical Oncology, Biochemical and Biophysical Research Communications, Monthly Notices of the Royal Astronomical Society, Journal of Perinatology and OncoImmunology.
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.