Kaiyang Ding
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 19
- Hematopoietic Stem Cell Transplantation 9
- Multiple Myeloma Research and Treatments 6
- Hemophilia Treatment and Research 1
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- Lymphoma Diagnosis and Treatment 18
- Co-authors
- Xiaoyan Wang (1 shared paper)Zhou Yuan (1 shared paper)Zimin Sun (7 shared papers)Xin Liu (3 shared papers)Juan Tong (5 shared papers)Xu Zhang (2 shared papers)Weiliang Zhu (1 shared paper)Jian Wu (1 shared paper)
- Journals
- Blood (5 papers)Frontiers in Oncology (3 papers)Annals of Hematology (3 papers)American Journal of Hematology (2 papers)Hematological Oncology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Kaiyang Ding
49 papers receiving 706 citations
Peers
Comparison fields: 5 of 58
- Hematology 204
- Pathology and Forensic Medicine 167
- Genetics 64
- Oncology 121
- Molecular Biology 129
Countries citing papers authored by Kaiyang Ding
This map shows the geographic impact of Kaiyang Ding'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 Kaiyang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyang Ding more than expected).
Fields of papers citing papers by Kaiyang Ding
This network shows the impact of papers produced by Kaiyang Ding. 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 Kaiyang Ding. The network helps show where Kaiyang Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiyang Ding, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 203 | |
| 2 | 2023 | 38 | |
| 3 | 2023 | 37 | |
| 4 | 2023 | 33 | |
| 5 | 2011 | 30 | |
| 6 | 2021 | 30 | |
| 7 | 2009 | 29 | |
| 8 | 2023 | 25 | |
| 9 | 2020 | 22 | |
| 10 | 2023 | 20 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2024 | 17 | |
| 14 | 2012 | 16 | |
| 15 | 2014 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2018 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2019 | 10 |
About Kaiyang Ding
Kaiyang Ding is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 725 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Hematopoietic Stem Cell Transplantation (9 papers), Multiple Myeloma Research and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Viral-associated cancers and disorders (5 papers), CAR-T cell therapy research (3 papers), Acute Lymphoblastic Leukemia research (2 papers) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Hematology (204 citations), Pathology and Forensic Medicine (167 citations), Genetics (64 citations), Oncology (121 citations) and Molecular Biology (129 citations). Kaiyang Ding has collaborated with scholars based in China and United States. Frequent co-authors include Xiaoyan Wang, Zhou Yuan, Zimin Sun, Xin Liu, Juan Tong, Xu Zhang, Weiliang Zhu, Jian Wu, Xingguang Liu and Huanhuan Zhang. Their work appears in journals such as Blood, Frontiers in Oncology, Annals of Hematology, American Journal of Hematology and Hematological Oncology.
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.