Weiwei Sui
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 51
- Multiple Myeloma Research and Treatments 49
- Oncology 30
- Peptidase Inhibition and Analysis 11
- CAR-T cell therapy research 10
- Co-authors
- Lugui Qiu (56 shared papers)Dehui Zou (57 shared papers)Shuhui Deng (52 shared papers)Mu Hao (27 shared papers)Yan Xu (45 shared papers)Gang An (66 shared papers)Shuhua Yi (43 shared papers)Fei Li (9 shared papers)
- Journals
- Blood (24 papers)Oncotarget (4 papers)Leukemia Research (3 papers)Annals of Hematology (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weiwei Sui
72 papers receiving 610 citations
Peers
Comparison fields: 5 of 59
- Hematology 370
- Genetics 91
- Cancer Research 104
- Oncology 176
- Pathology and Forensic Medicine 71
Countries citing papers authored by Weiwei Sui
This map shows the geographic impact of Weiwei Sui'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 Weiwei Sui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Sui more than expected).
Fields of papers citing papers by Weiwei Sui
This network shows the impact of papers produced by Weiwei Sui. 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 Weiwei Sui. The network helps show where Weiwei Sui may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Sui, 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 | 2015 | 53 | |
| 2 | 2014 | 50 | |
| 3 | 2015 | 46 | |
| 4 | 2016 | 45 | |
| 5 | 2013 | 42 | |
| 6 | 2020 | 36 | |
| 7 | 2022 | 28 | |
| 8 | 2020 | 23 | |
| 9 | 2015 | 23 | |
| 10 | 2015 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2015 | 16 | |
| 13 | 2013 | 11 | |
| 14 | 2024 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2012 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2015 | 11 | |
| 19 | 2014 | 9 | |
| 20 | 2024 | 9 |
About Weiwei Sui
Weiwei Sui is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 85 papers that have together received 612 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (49 papers), Chronic Lymphocytic Leukemia Research (18 papers), Protein Degradation and Inhibitors (12 papers), Lymphoma Diagnosis and Treatment (12 papers), Peptidase Inhibition and Analysis (11 papers), CAR-T cell therapy research (10 papers), Glycosylation and Glycoproteins Research (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Hematology (370 citations), Genetics (91 citations), Cancer Research (104 citations), Oncology (176 citations) and Pathology and Forensic Medicine (71 citations). Weiwei Sui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lugui Qiu, Dehui Zou, Shuhui Deng, Mu Hao, Yan Xu, Gang An, Shuhua Yi, Fei Li, Zengjun Li and Yaozhong Zhao. Their work appears in journals such as Blood, Oncotarget, Leukemia Research, Annals of Hematology and Frontiers in Immunology.
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.