Dingming Wan
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
-
- Cancer-related molecular mechanisms research
Papers in
- Hematology 26
- Acute Myeloid Leukemia Research 17
- Hematopoietic Stem Cell Transplantation 8
- Chronic Myeloid Leukemia Treatments 6
- Multiple Myeloma Research and Treatments 3
-
- Acute Lymphoblastic Leukemia research 10
- Co-authors
- Yingmei Li (13 shared papers)Jifeng Yu (14 shared papers)Zhongxing Jiang (25 shared papers)Weijie Cao (21 shared papers)Haizhou Xing (11 shared papers)Xinsheng Xie (27 shared papers)Yongping Song (4 shared papers)Haowei Sun (3 shared papers)
- Journals
- Scientific Reports (4 papers)Experimental Hematology and Oncology (3 papers)Blood (3 papers)Bone Marrow Transplantation (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Dingming Wan
49 papers receiving 583 citations
Peers
Comparison fields: 5 of 63
- Hematology 227
- Cancer Research 86
- Immunology 118
- Molecular Medicine 23
- Oncology 116
Countries citing papers authored by Dingming Wan
This map shows the geographic impact of Dingming Wan'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 Dingming Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingming Wan more than expected).
Fields of papers citing papers by Dingming Wan
This network shows the impact of papers produced by Dingming Wan. 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 Dingming Wan. The network helps show where Dingming Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingming Wan, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 89 | |
| 2 | 2020 | 57 | |
| 3 | 2020 | 53 | |
| 4 | 2021 | 52 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 24 | |
| 7 | 2016 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2022 | 19 | |
| 10 | 2017 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2018 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2020 | 7 |
About Dingming Wan
Dingming Wan is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Cancer Research, Molecular Biology and Immunology, having authored 55 papers that have together received 593 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Acute Lymphoblastic Leukemia research (10 papers), Hematopoietic Stem Cell Transplantation (8 papers), Chronic Myeloid Leukemia Treatments (6 papers), Cancer-related molecular mechanisms research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (227 citations), Cancer Research (86 citations), Immunology (118 citations), Molecular Medicine (23 citations) and Oncology (116 citations). Dingming Wan has collaborated with scholars based in China and United States. Frequent co-authors include Yingmei Li, Jifeng Yu, Zhongxing Jiang, Weijie Cao, Haizhou Xing, Xinsheng Xie, Yongping Song, Haowei Sun, Suping Zhang and Danfeng Zhang. Their work appears in journals such as Scientific Reports, Experimental Hematology and Oncology, Blood, Bone Marrow Transplantation and Medicine.
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.