Sa Wang
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Autoimmune and Inflammatory Disorders Research
- Chronic Myeloid Leukemia Treatments
- Infectious Diseases top 2%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 11
- Autoimmune and Inflammatory Disorders Research 4
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- Hagop M. Kantarjian (12 shared papers)Fujie Zhang (6 shared papers)Guiju Gao (11 shared papers)Gloria C. Li (3 shared papers)Fengting Yu (3 shared papers)Siyuan Yang (1 shared paper)Chianru Tan (1 shared paper)Yong Guo (1 shared paper)
- Journals
- Blood (6 papers)Cancer (6 papers)Archives of Pathology & Laboratory Medicine (4 papers)American Journal of Hematology (4 papers)Modern Pathology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Sa Wang
82 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 135
- Hematology 645
- Infectious Diseases 499
- Genetics 233
- Immunology 341
- Oncology 407
Countries citing papers authored by Sa Wang
This map shows the geographic impact of Sa 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 Sa Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sa Wang more than expected).
Fields of papers citing papers by Sa Wang
This network shows the impact of papers produced by Sa 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 Sa Wang. The network helps show where Sa Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sa 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 480 | |
| 2 | 1999 | 156 | |
| 3 | 2017 | 150 | |
| 4 | 1998 | 134 | |
| 5 | 2000 | 129 | |
| 6 | 2016 | 113 | |
| 7 | 2019 | 106 | |
| 8 | 2012 | 83 | |
| 9 | 2016 | 83 | |
| 10 | 2023 | 77 | |
| 11 | 2018 | 76 | |
| 12 | 2015 | 74 | |
| 13 | 2016 | 68 | |
| 14 | 2020 | 60 | |
| 15 | 2016 | 58 | |
| 16 | 2004 | 55 | |
| 17 | 2011 | 49 | |
| 18 | 2016 | 48 | |
| 19 | 2003 | 41 | |
| 20 | 2006 | 37 |
About Sa Wang
Sa Wang is a scholar working on Molecular Biology, Hematology, Pathology and Forensic Medicine, Immunology and Infectious Diseases, having authored 85 papers that have together received 2.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Acute Lymphoblastic Leukemia research (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), COVID-19 Clinical Research Studies (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Hematology (645 citations), Infectious Diseases (499 citations), Genetics (233 citations), Immunology (341 citations) and Oncology (407 citations). Sa Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Hagop M. Kantarjian, Fujie Zhang, Guiju Gao, Gloria C. Li, Fengting Yu, Siyuan Yang, Chianru Tan, Yong Guo, Carlos Cordon‐Cardo and David J. Chen. Their work appears in journals such as Blood, Cancer, Archives of Pathology & Laboratory Medicine, American Journal of Hematology and Modern Pathology.
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.