S-J Wu

844 citations
5 papers · 278 · h-index 4

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 4
    • Hematopoietic Stem Cell Transplantation 1
    • Chronic Myeloid Leukemia Treatments 1
    • Bioactive natural compounds 1
    • Angiogenesis and VEGF in Cancer 1

S-J Wu

5 papers receiving 271 citations

Peers

S-J Wu
Comparison fields: 5 of 28
  • Hematology 230
  • Genetics 69
  • Cancer Research 66
  • Molecular Biology 168
  • Public Health, Environmental and Occupational Health 56
Replace Karine Celli‐Lebras with:
Karine Celli‐Lebras France
M-H Tseng Taiwan
Yen-Ning Huang South Korea
J. Krauter Germany
Gudrun Mellert Germany
Sally Jeffries United Kingdom
Maxime Bucci France
Kiran Tawana United Kingdom
Lene Hyldahl Ebbesen Denmark
M. C. Sauerland Germany
S-J Wu relative to Karine Celli‐Lebras France Karine Celli‐Lebras's profile →
Citations per field
00.5×1.5×
Karine Celli‐Lebras · 1×
Citations per year

Countries citing papers authored by S-J Wu

Since Specialization
Citations

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

Fields of papers citing papers by S-J Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S-J Wu. 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 S-J Wu. The network helps show where S-J Wu may publish in the future.

Co-authors

The 24 scholars most cited alongside S-J Wu, 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 S-J Wu Line = papers co-authored together S-J Wu links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2010124
2 200781
3 200950
4 201120
5 20233

About S-J Wu

S-J Wu is a scholar working on Hematology, Molecular Biology, Genetics, Public Health, Environmental and Occupational Health and Complementary and alternative medicine, having authored 5 papers that have together received 278 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (1 paper), Bioactive natural compounds (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Morinda citrifolia extract uses (1 paper). The work is most often cited by research in Hematology (230 citations), Genetics (69 citations), Cancer Research (66 citations), Molecular Biology (168 citations) and Public Health, Environmental and Occupational Health (56 citations). S-J Wu has collaborated with scholars based in Taiwan and China. Frequent co-authors include Wen‐Chien Chou, Woei Tsay, Hwei‐Fang Tien, Ming Yao, Shang‐Yi Huang, Jih‐Luh Tang, Chih‐Fen Huang, C-Y Chen, M-H Tseng and Yee‐Chun Chen. Their work appears in journals such as Leukemia, British Journal of Cancer and PubMed.

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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