Cindy Wang
Impact in
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Hematology top 10%
Papers in
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- Receptor Mechanisms and Signaling 3
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- Acute Lymphoblastic Leukemia research 12
- Co-authors
- Julie Chao (16 shared papers)Lee Chao (12 shared papers)Eric Dobrzynski (3 shared papers)Katsutoshi Yayama (2 shared papers)Yin He (1 shared paper)Anna Zenno (1 shared paper)Hui Chen (1 shared paper)Haibo Sha (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Blood (4 papers)Hypertension (4 papers)American Journal of Physiology-Renal Physiology (3 papers)Leukemia (2 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Cindy Wang
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Genetics 160
- Hematology 119
- Cellular and Molecular Neuroscience 176
- Cell Biology 149
- Endocrine and Autonomic Systems 52
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 228 | |
| 2 | 2019 | 102 | |
| 3 | 2000 | 94 | |
| 4 | 2004 | 88 | |
| 5 | 1998 | 81 | |
| 6 | 2001 | 57 | |
| 7 | 2021 | 51 | |
| 8 | 1999 | 44 | |
| 9 | 2001 | 41 | |
| 10 | 1992 | 38 | |
| 11 | 2015 | 36 | |
| 12 | 2018 | 32 | |
| 13 | 2020 | 31 | |
| 14 | 2006 | 31 | |
| 15 | 2020 | 26 | |
| 16 | 2021 | 25 | |
| 17 | 2003 | 25 | |
| 18 | 2021 | 18 | |
| 19 | 2019 | 18 | |
| 20 | 2013 | 16 |
About Cindy Wang
Cindy Wang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Hematology and Oncology, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (12 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers), Acute Myeloid Leukemia Research (6 papers), Renin-Angiotensin System Studies (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Hormonal Regulation and Hypertension (4 papers), Receptor Mechanisms and Signaling (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Genetics (160 citations), Hematology (119 citations), Cellular and Molecular Neuroscience (176 citations), Cell Biology (149 citations) and Endocrine and Autonomic Systems (52 citations). Cindy Wang has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Julie Chao, Lee Chao, Eric Dobrzynski, Katsutoshi Yayama, Yin He, Anna Zenno, Hui Chen, Haibo Sha, Hang Shi and Ling Qi. Their work appears in journals such as Journal of Clinical Oncology, Blood, Hypertension, American Journal of Physiology-Renal Physiology and Leukemia.
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.