Weiwei Sui
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 52
- Multiple Myeloma Research and Treatments 50
- Genetics 21
- Chronic Lymphocytic Leukemia Research 21
- Co-authors
- Lugui Qiu (55 shared papers)Dehui Zou (53 shared papers)Mu Hao (26 shared papers)Yan Xu (41 shared papers)Gang An (57 shared papers)Shuhui Deng (48 shared papers)Shuhua Yi (35 shared papers)Fei Li (7 shared papers)
- Journals
- Blood (9 papers)Annals of Hematology (5 papers)Journal for ImmunoTherapy of Cancer (4 papers)Oncotarget (4 papers)Haematologica (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Weiwei Sui
85 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Hematology 665
- Genetics 176
- Oncology 367
- Cancer Research 160
- Pathology and Forensic Medicine 181
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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 84 | |
| 2 | 2011 | 72 | |
| 3 | 2015 | 59 | |
| 4 | 2014 | 58 | |
| 5 | Genomic and transcriptomic profiling reveals distinct molecular subsets associated with outcomes in mantle cell lymphoma | 2022 | 54 |
| 6 | 2013 | 53 | |
| 7 | 2016 | 48 | |
| 8 | 2015 | 47 | |
| 9 | 2020 | 40 | |
| 10 | 2019 | 36 | |
| 11 | 2022 | 29 | |
| 12 | 2015 | 26 | |
| 13 | 2022 | 24 | |
| 14 | 2024 | 24 | |
| 15 | 2020 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2022 | 21 | |
| 18 | 2015 | 21 | |
| 19 | 2019 | 20 | |
| 20 | 2021 | 20 |
About Weiwei Sui
Weiwei Sui is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 93 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (50 papers), Chronic Lymphocytic Leukemia Research (21 papers), Lymphoma Diagnosis and Treatment (20 papers), Protein Degradation and Inhibitors (12 papers), Peptidase Inhibition and Analysis (12 papers), CAR-T cell therapy research (9 papers), Cancer Genomics and Diagnostics (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Hematology (665 citations), Genetics (176 citations), Oncology (367 citations), Cancer Research (160 citations) and Pathology and Forensic Medicine (181 citations). Weiwei Sui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lugui Qiu, Dehui Zou, Mu Hao, Yan Xu, Gang An, Shuhui Deng, Shuhua Yi, Fei Li, Zengjun Li and Zhen Yu. Their work appears in journals such as Blood, Annals of Hematology, Journal for ImmunoTherapy of Cancer, Oncotarget and Haematologica.
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.