S J Chen

1.7k citations
16 papers · 1.4k · h-index 12

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Antioxidant Activity and Oxidative Stress

Papers in

    • Retinoids in leukemia and cellular processes 7
    • Advanced biosensing and bioanalysis techniques 1
    • Protein Degradation and Inhibitors 1
    • Acute Myeloid Leukemia Research 8
    • Chronic Myeloid Leukemia Treatments 2

S J Chen

16 papers receiving 1.4k citations

Peers

S J Chen
Comparison fields: 5 of 92
  • Hematology 540
  • Biochemistry 156
  • Molecular Biology 1.2k
  • Environmental Chemistry 92
  • Cancer Research 132
Replace George Lam with:
George Lam United States
W-L Zhao China
Atsushi Sato Japan
Michael E. Rusiniak United States
Daniel B. Bellissimo United States
Shujun Lin China
Trevor R. Walker United Kingdom
Lin Yu China
Maria Concetta Faniello Italy
Xunlei Kang United States
S J Chen relative to George Lam United States George Lam's profile →
Citations per field
00.5×4.4×
George Lam · 1×
Citations per year

Countries citing papers authored by S J Chen

Since Specialization
Citations

This map shows the geographic impact of S J Chen'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 Chen 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 Chen more than expected).

Fields of papers citing papers by S J Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012265
2 1999245
3 2000225
4 1993180
5 1994148
6 199494
7 200174
8 199955
9 200151
10 198549
11 201718
12 200613
13 200511
14 201110
15
Monoallelic deletions of the P53 gene in Chinese patients with chronic myelogenous leukemia in blastic crisis.
19918
16 20121

About S J Chen

S J Chen is a scholar working on Molecular Biology, Hematology, Genetics, Atomic and Molecular Physics, and Optics and Biochemistry, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Retinoids in leukemia and cellular processes (7 papers), Estrogen and related hormone effects (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Antioxidant Activity and Oxidative Stress (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), interferon and immune responses (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (540 citations), Biochemistry (156 citations), Molecular Biology (1.2k citations), Environmental Chemistry (92 citations) and Cancer Research (132 citations). S J Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Susannah Waxman, Z Chen, Z Chen, Arthur Zelent, Ying Huang, Z-X Shen, David W.M. Muller, James M. Wilson, Dan Xiao and W-L Zhao. Their work appears in journals such as Leukemia, Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute, Seminars in Hematology and Cell Death and Disease.

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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