Keshu Zhou
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Co-authors
- Yongping Song (24 shared papers)Mitsuru Osaki (1 shared paper)Kiyoshi Masuda (1 shared paper)Masumi Yamagishi (1 shared paper)Jianfeng Zhou (5 shared papers)Haiyi Guo (5 shared papers)Zengjun Li (15 shared papers)Jane Huang (3 shared papers)
- Journals
- Blood (34 papers)Journal of Clinical Oncology (17 papers)Hematological Oncology (4 papers)Frontiers in Immunology (3 papers)Clinical Cancer Research (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Keshu Zhou
97 papers receiving 829 citations
Peers
Comparison fields: 5 of 63
- Genetics 293
- Pathology and Forensic Medicine 301
- Hematology 137
- Oncology 288
- Immunology 133
Countries citing papers authored by Keshu Zhou
This map shows the geographic impact of Keshu Zhou'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 Keshu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keshu Zhou more than expected).
Fields of papers citing papers by Keshu Zhou
This network shows the impact of papers produced by Keshu Zhou. 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 Keshu Zhou. The network helps show where Keshu Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Keshu Zhou, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 120 | |
| 2 | 2020 | 94 | |
| 3 | 2008 | 60 | |
| 4 | 2021 | 34 | |
| 5 | 2011 | 32 | |
| 6 | 2020 | 30 | |
| 7 | 2021 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2017 | 25 | |
| 10 | 2019 | 20 | |
| 11 | 2017 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2020 | 17 | |
| 14 | 2022 | 15 | |
| 15 | 2016 | 14 | |
| 16 | 2015 | 12 | |
| 17 | 2013 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2023 | 9 |
About Keshu Zhou
Keshu Zhou is a scholar working on Oncology, Genetics, Pathology and Forensic Medicine, Molecular Biology and Hematology, having authored 115 papers that have together received 840 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (44 papers), Lymphoma Diagnosis and Treatment (42 papers), CAR-T cell therapy research (38 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Multiple Myeloma Research and Treatments (6 papers), HER2/EGFR in Cancer Research (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Genetics (293 citations), Pathology and Forensic Medicine (301 citations), Hematology (137 citations), Oncology (288 citations) and Immunology (133 citations). Keshu Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yongping Song, Mitsuru Osaki, Kiyoshi Masuda, Masumi Yamagishi, Jianfeng Zhou, Haiyi Guo, Zengjun Li, Jane Huang, William Novotny and Jianda Hu. Their work appears in journals such as Blood, Journal of Clinical Oncology, Hematological Oncology, Frontiers in Immunology and Clinical Cancer Research.
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.