Sandy Lee

1.2k citations
17 papers · 340 · h-index 7

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 6
    • Acute Myeloid Leukemia Research 3
    • Chronic Myeloid Leukemia Treatments 2
    • Platelet Disorders and Treatments 2

Sandy Lee

17 papers receiving 329 citations

Peers

Sandy Lee
Comparison fields: 5 of 79
  • Hematology 86
  • Genetics 47
  • Physiology 55
  • Rheumatology 28
  • Radiology, Nuclear Medicine and Imaging 42
Replace Nicole Wong Doo with:
Nicole Wong Doo Australia
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Deborah L. Darrington United States
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Brian Dewar Canada
Tina Rizack United States
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Wee Kheng Soo Australia
Sandy Lee relative to Nicole Wong Doo Australia Nicole Wong Doo's profile →
Citations per field
00.5×3.5×
Nicole Wong Doo · 1×
Citations per year

Countries citing papers authored by Sandy Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sandy Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200789
2 200988
3 200269
4 202029
5 201314
6 20198
7 20178
8 20226
9 20156
10 20245
11 20235
12 20244
13 20233
14 20212
15 20232
16 20231
17 20231

About Sandy Lee

Sandy Lee is a scholar working on Genetics, Hematology, Molecular Biology, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 340 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cancer and Skin Lesions (2 papers), Breast Cancer Treatment Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Platelet Disorders and Treatments (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Hematology (86 citations), Genetics (47 citations), Physiology (55 citations), Rheumatology (28 citations) and Radiology, Nuclear Medicine and Imaging (42 citations). Sandy Lee has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Sun W. Tam, Rick Wiese, James Gilmore, Krishnanand D. Kumble, Peter Franks, Dennis Lee, Alan Chiem, James Leigh, Anthony Jerant and Michelle Morrow. Their work appears in journals such as Journal of Surgical Oncology, Blood, Mobile DNA, Journal of Immunological Methods 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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