Sandy Sung

1.3k citations
11 papers · 976 · 1 hit paper · h-index 8

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Acute Myeloid Leukemia Research 6
    • Genomic variations and chromosomal abnormalities 2
    • Forensic and Genetic Research 2

Sandy Sung

10 papers receiving 959 citations

Sandy Sung's Hit Papers

Identification of miR-145 and miR-146a as mediators of the 5q– syndrome phenotype 2009 · 508 citations
5080+5+11Years since publication100200300400500

Peers

Sandy Sung
Comparison fields: 5 of 76
  • Hematology 286
  • Cancer Research 262
  • Genetics 97
  • Developmental Neuroscience 34
  • Immunology 157
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Sandy Sung relative to Rajendran Sanalkumar United States Rajendran Sanalkumar's profile →
Citations per field
00.5×3.0×
Rajendran Sanalkumar · 1×
Citations per year

Countries citing papers authored by Sandy Sung

Since Specialization
Citations

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

Fields of papers citing papers by Sandy Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandy Sung. 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 Sandy Sung. The network helps show where Sandy Sung may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Identification of miR-145 and miR-146a as mediators of the 5q– syndrome phenotype
Hit paper breakdown →
2009508
2 1997186
3 1986123
4 200881
5 200429
6 201222
7 20109
8 20108
9 20117
10 20103
11 20080

About Sandy Sung

Sandy Sung is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Cancer Research, having authored 11 papers that have together received 976 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Genomic variations and chromosomal abnormalities (2 papers), Forensic and Genetic Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (2 papers), CAR-T cell therapy research (1 paper), NF-κB Signaling Pathways (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Hematology (286 citations), Cancer Research (262 citations), Genetics (97 citations), Developmental Neuroscience (34 citations) and Immunology (157 citations). Sandy Sung has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include Aly Karsan, Daniel T. Starczynowski, Wan L. Lam, Ryan D. Morin, Donna E. Hogge, Bob Argiropoulos, Marco A. Marra, Andrew Muranyi, Florian Kuchenbauer and Richard A. Wells. Their work appears in journals such as Blood, Nature Medicine, Neuroscience, Cancer Medicine and Human Genetics.

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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