Kaiyang Ding
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
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- CAR-T cell therapy research
- Polyomavirus and related diseases
Papers in ⓘ
- Hematology 23
- Multiple Myeloma Research and Treatments 13
- Hematopoietic Stem Cell Transplantation 6
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- Lymphoma Diagnosis and Treatment 16
- Co-authors
- Zhou Yuan (1 shared paper)Xiaoyan Wang (1 shared paper)Zimin Sun (6 shared papers)Juan Tong (5 shared papers)Xin Liu (3 shared papers)Huilan Liu (4 shared papers)Liangquan Geng (4 shared papers)Huanhuan Zhang (2 shared papers)
- Journals
- Blood (12 papers)Journal of Clinical Oncology (5 papers)Annals of Hematology (3 papers)Annals of Oncology (2 papers)Food Bioscience (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kaiyang Ding
41 papers receiving 238 citations
Peers
Comparison fields: 5 of 52
- Hematology 107
- Oncology 113
- Genetics 30
- Immunology 46
- Pathology and Forensic Medicine 36
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 27 | |
| 2 | 2011 | 26 | |
| 3 | 2023 | 20 | |
| 4 | 2020 | 19 | |
| 5 | 2014 | 14 | |
| 6 | 2012 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2014 | 4 | |
| 19 | [Identification of a novel mutation of F (13) A gene in a pedigree with factor XIII deficiency]. | 2007 | 4 |
| 20 | 2018 | 4 |
About Kaiyang Ding
Kaiyang Ding is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Genetics and Transplantation, having authored 51 papers that have together received 241 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Multiple Myeloma Research and Treatments (13 papers), CAR-T cell therapy research (12 papers), Protein Degradation and Inhibitors (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Viral-associated cancers and disorders (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Hematology (107 citations), Oncology (113 citations), Genetics (30 citations), Immunology (46 citations) and Pathology and Forensic Medicine (36 citations). Kaiyang Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhou Yuan, Xiaoyan Wang, Zimin Sun, Juan Tong, Xin Liu, Huilan Liu, Liangquan Geng, Huanhuan Zhang, Xingbing Wang and Xu Zhang. Their work appears in journals such as Blood, Journal of Clinical Oncology, Annals of Hematology, Annals of Oncology and Food Bioscience.
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.