Sa Wang
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Autoimmune and Inflammatory Disorders Research
- Chronic Myeloid Leukemia Treatments
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 11
- Chronic Myeloid Leukemia Treatments 5
- Autoimmune and Inflammatory Disorders Research 4
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- Lymphoma Diagnosis and Treatment 8
- Co-authors
- H Kantarjian (12 shared papers)Guiju Gao (11 shared papers)Fujie Zhang (6 shared papers)Fengting Yu (3 shared papers)Chianru Tan (1 shared paper)L. Jeffrey Medeiros (6 shared papers)Fang Wang (1 shared paper)Chengjie Ma (1 shared paper)
- Journals
- Cancer (6 papers)Blood (6 papers)American Journal of Hematology (5 papers)Archives of Pathology & Laboratory Medicine (4 papers)Annals of Hematology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Sa Wang
84 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 142
- Hematology 721
- Infectious Diseases 669
- Genetics 280
- Immunology 381
- Oncology 465
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 503 | |
| 2 | 2020 | 183 | |
| 3 | 2017 | 165 | |
| 4 | 1999 | 162 | |
| 5 | 1998 | 151 | |
| 6 | 2016 | 138 | |
| 7 | 2000 | 133 | |
| 8 | 2019 | 107 | |
| 9 | 2016 | 93 | |
| 10 | 2012 | 90 | |
| 11 | 2023 | 89 | |
| 12 | 2018 | 81 | |
| 13 | 2015 | 75 | |
| 14 | 2016 | 70 | |
| 15 | 2020 | 63 | |
| 16 | 2004 | 61 | |
| 17 | 2016 | 60 | |
| 18 | 2011 | 56 | |
| 19 | 2016 | 51 | |
| 20 | 2003 | 42 |
About Sa Wang
Sa Wang is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Immunology and Infectious Diseases, having authored 87 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), COVID-19 Clinical Research Studies (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (721 citations), Infectious Diseases (669 citations), Genetics (280 citations), Immunology (381 citations) and Oncology (465 citations). Sa Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include H Kantarjian, Guiju Gao, Fujie Zhang, Fengting Yu, Chianru Tan, L. Jeffrey Medeiros, Fang Wang, Chengjie Ma, Siyuan Yang and Honghai Ouyang. Their work appears in journals such as Cancer, Blood, American Journal of Hematology, Archives of Pathology & Laboratory Medicine and Annals of Hematology.
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.