Szu‐Hee Lee

489 citations
20 papers · 329 · h-index 10

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Hemoglobinopathies and Related Disorders

Papers in

    • Iron Metabolism and Disorders 3
    • Hemoglobinopathies and Related Disorders 4
    • Mesenchymal stem cell research 2

Szu‐Hee Lee

19 papers receiving 316 citations

Peers

Szu‐Hee Lee
Comparison fields: 5 of 66
  • Hematology 92
  • Genetics 75
  • Health Informatics 7
  • Biophysics 26
  • Rheumatology 65
Replace Marie Therese Manipadam with:
Marie Therese Manipadam India
Tarek Owaidah Saudi Arabia
Sepideh Shakeri Iran
Clarissa A. Cassol United States
Hideyoshi Noji Japan
Anisha Tanna United Kingdom
Nathan Radakovich United States
C. Rosé France
Giovanni Maria Rossi Italy
April Barnado United States
Szu‐Hee Lee relative to Marie Therese Manipadam India Marie Therese Manipadam's profile →
Citations per field
00.5×3.5×
Marie Therese Manipadam · 1×
Citations per year

Countries citing papers authored by Szu‐Hee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Szu‐Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2019106
2 199965
3 201628
4 199924
5 200522
6 202119
7 200715
8 200510
9 200810
10 200410
11 20055
12 19993
13 20063
14 19992
15 20142
16 20112
17 20001
18 20001
19 20211
20 20240

About Szu‐Hee Lee

Szu‐Hee Lee is a scholar working on Hematology, Genetics, Immunology, Artificial Intelligence and Physiology, having authored 20 papers that have together received 329 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (4 papers), AI in cancer detection (4 papers), Iron Metabolism and Disorders (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Mesenchymal stem cell research (2 papers), Cell Image Analysis Techniques (2 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Hematology (92 citations), Genetics (75 citations), Health Informatics (7 citations), Biophysics (26 citations) and Rheumatology (65 citations). Szu‐Hee Lee has collaborated with scholars based in Australia, Singapore and United Kingdom. Frequent co-authors include Gina Zini, Jürgen Riedl, Sam Machin, Mina Hur, Alexander Kratz, Beng H. Chong, Ariff Bongso, Chui‐Yee Fong, John B. Porter and Wendy N. Erber. Their work appears in journals such as Blood, British Journal of Haematology, Pathology, Seminars in Thrombosis and Hemostasis and The Heart Surgery Forum.

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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