Wan-Ming Da

687 citations
56 papers · 534 · h-index 13

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research

Papers in

Wan-Ming Da

51 papers receiving 524 citations

Peers

Wan-Ming Da
Comparison fields: 5 of 70
  • Hematology 241
  • Genetics 205
  • Molecular Medicine 33
  • Oncology 121
  • Immunology 92
Replace Kazuki Koizumi with:
Kazuki Koizumi Japan
Federica Savi Italy
Katherine Chastain United States
Huan Lin China
Stephan Meinke Sweden
Teresa Magnes Austria
Baodong Ye China
Irene Gañán‐Gómez United States
Jie Bai China
Wan-Ming Da relative to Kazuki Koizumi Japan Kazuki Koizumi's profile →
Citations per field
00.5×6.8×
Kazuki Koizumi · 1×
Citations per year

Countries citing papers authored by Wan-Ming Da

Since Specialization
Citations

This map shows the geographic impact of Wan-Ming Da'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 Wan-Ming Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan-Ming Da more than expected).

Fields of papers citing papers by Wan-Ming Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan-Ming Da. 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 Wan-Ming Da. The network helps show where Wan-Ming Da may publish in the future.

Co-authors

The 25 scholars most cited alongside Wan-Ming Da, 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 Wan-Ming Da Line = papers co-authored together Wan-Ming Da links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201373
2 201467
3
Water-soluble antioxidants improve the antioxidant and anticancer activity of low concentrations of curcumin in human leukemia cells.
200557
4 201356
5 201441
6 201820
7 201118
8 200714
9
Studies of hemopoietic stromal fibroblastic colonies in patients undergoing bone marrow transplantation.
198614
10 201212
11 200712
12
Coadjustment of quercetin and hydrogen peroxide: the role of ROS in the cytotoxicity of quercetin.
200412
13
Combination with water-soluble antioxidants increases the anticancer activity of quercetin in human leukemia cells.
200412
14 201712
15 198910
16 20149
17 20109
18 20049
19 20128
20
PD-1, FOXP3, and CSF-1R expression in patients with Hodgkin lymphoma and their prognostic value.
20187

About Wan-Ming Da

Wan-Ming Da is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Oncology, having authored 56 papers that have together received 534 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (20 papers), Mesenchymal stem cell research (10 papers), Acute Myeloid Leukemia Research (9 papers), Immune Cell Function and Interaction (8 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Hematological disorders and diagnostics (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Hematology (241 citations), Genetics (205 citations), Molecular Medicine (33 citations), Oncology (121 citations) and Immunology (92 citations). Wan-Ming Da has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Jiuhong Kang, Yongbin Cao, Zhouyang Liu, Dandan Zhao, Lixin Xu, Xiaoxiong Wu, Dawei Zhang, Zhongchao Han, Chunji Gao and Jie Chen. Their work appears in journals such as Leukemia Research, Blood, Medical Oncology, International Journal of Hematology and Oncotarget.

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.

Explore authors with similar magnitude of impact