Dingming Wan

1k citations
59 papers · 708 · h-index 15

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
    • Antibiotic Resistance in Bacteria

Papers in

    • Hematopoietic Stem Cell Transplantation 20
    • Acute Myeloid Leukemia Research 15
    • Multiple Myeloma Research and Treatments 4
    • Cancer-related molecular mechanisms research 5

Dingming Wan

54 papers receiving 690 citations

Peers

Dingming Wan
Comparison fields: 5 of 61
  • Hematology 328
  • Molecular Medicine 39
  • Oncology 100
  • Immunology 81
  • Cancer Research 44
Replace Xing Fan with:
Xing Fan China
Yuanxin Sun China
Seog Woon Kwon South Korea
Lan Deng China
Kohmei Kubo Japan
Philip D. Hall United States
Anthony Man United Kingdom
Eleonora Malerba Italy
Liyuan Yang China
Lozan Sheriff United Kingdom
Dingming Wan relative to Xing Fan China Xing Fan's profile →
Citations per field
00.5×2×2.8×
Xing Fan · 1×
Citations per year

Countries citing papers authored by Dingming Wan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dingming Wan Line = papers co-authored together Dingming Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022102
2 202170
3 202060
4 202056
5 202235
6 202030
7 202026
8 201625
9 202024
10 202024
11 202224
12 202221
13 201720
14 202017
15 202117
16 202113
17 202112
18 202311
19 20189
20 20239

About Dingming Wan

Dingming Wan is a scholar working on Hematology, Cancer Research, Public Health, Environmental and Occupational Health, Immunology and Molecular Medicine, having authored 59 papers that have together received 708 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (20 papers), Acute Myeloid Leukemia Research (15 papers), Acute Lymphoblastic Leukemia research (11 papers), Cancer-related molecular mechanisms research (5 papers), Multiple Myeloma Research and Treatments (4 papers), Neutropenia and Cancer Infections (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Hematology (328 citations), Molecular Medicine (39 citations), Oncology (100 citations), Immunology (81 citations) and Cancer Research (44 citations). Dingming Wan has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Zhongxing Jiang, Yingmei Li, Jifeng Yu, Weijie Cao, Haizhou Xing, Xinsheng Xie, Yongping Song, Haowei Sun, Song Q Zhao and Suping Zhang. Their work appears in journals such as Scientific Reports, Bone Marrow Transplantation, Experimental Hematology and Oncology, Cancer Management and Research and Frontiers in 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.

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