Sujun Gao
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 55
- Acute Myeloid Leukemia Research 37
- Chronic Myeloid Leukemia Treatments 17
- Hematopoietic Stem Cell Transplantation 8
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- Histone Deacetylase Inhibitors Research 8
- Co-authors
- Long Su (24 shared papers)Yehui Tan (21 shared papers)Siqing Wang (5 shared papers)Qing Yi (4 shared papers)Yuxue Jiang (5 shared papers)Yinghua Zhao (4 shared papers)Jintong Chen (5 shared papers)Jiuwei Cui (8 shared papers)
- Journals
- Blood (6 papers)Medicine (5 papers)Journal of Clinical Oncology (5 papers)Oncotarget (4 papers)Annals of Hematology (4 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Sujun Gao
86 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Hematology 427
- Genetics 283
- Immunology 279
- Pathology and Forensic Medicine 198
- Oncology 217
Countries citing papers authored by Sujun Gao
This map shows the geographic impact of Sujun Gao'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 Sujun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujun Gao more than expected).
Fields of papers citing papers by Sujun Gao
This network shows the impact of papers produced by Sujun Gao. 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 Sujun Gao. The network helps show where Sujun Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Sujun Gao, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 111 | |
| 2 | 2020 | 92 | |
| 3 | 2018 | 59 | |
| 4 | 2004 | 49 | |
| 5 | 2019 | 48 | |
| 6 | 2018 | 41 | |
| 7 | 2018 | 34 | |
| 8 | 2018 | 30 | |
| 9 | 2020 | 29 | |
| 10 | 2018 | 28 | |
| 11 | 2015 | 28 | |
| 12 | 2022 | 24 | |
| 13 | 2019 | 22 | |
| 14 | 2023 | 20 | |
| 15 | 2016 | 20 | |
| 16 | 2016 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2018 | 17 | |
| 19 | 2017 | 17 | |
| 20 | 2022 | 16 |
About Sujun Gao
Sujun Gao is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Pathology and Forensic Medicine, having authored 96 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (37 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers), Chronic Myeloid Leukemia Treatments (17 papers), Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Immune Cell Function and Interaction (9 papers), Histone Deacetylase Inhibitors Research (8 papers) and Hematopoietic Stem Cell Transplantation (8 papers). The work is most often cited by research in Hematology (427 citations), Genetics (283 citations), Immunology (279 citations), Pathology and Forensic Medicine (198 citations) and Oncology (217 citations). Sujun Gao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Long Su, Yehui Tan, Siqing Wang, Qing Yi, Yuxue Jiang, Yinghua Zhao, Jintong Chen, Jiuwei Cui, Haiyi Guo and Jianfeng Zhou. Their work appears in journals such as Blood, Medicine, Journal of Clinical Oncology, Oncotarget 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.