Toon Min

1.2k citations
39 papers · 912 · h-index 16

Impact in

Papers in

    • Acute Myeloid Leukemia Research 17
    • Chronic Myeloid Leukemia Treatments 9
    • Retinoids in leukemia and cellular processes 5
    • Renal and related cancers 3

Toon Min

38 papers receiving 883 citations

Peers

Toon Min
Comparison fields: 5 of 51
  • Hematology 396
  • Pulmonary and Respiratory Medicine 384
  • Pathology and Forensic Medicine 157
  • Genetics 91
  • Oncology 218
Replace Yasunori Toyoda with:
Yasunori Toyoda Japan
Sonam Prakash United States
D. Harms Germany
M. J. Lacombe France
Raffaello Bertieri Italy
AA Bartolucci United States
Monika Csóka Hungary
Ken Gatter United States
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Reinhardt J. Kau Germany
Toon Min relative to Yasunori Toyoda Japan Yasunori Toyoda's profile →
Citations per field
00.5×2.9×
Yasunori Toyoda · 1×
Citations per year

Countries citing papers authored by Toon Min

Since Specialization
Citations

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

Fields of papers citing papers by Toon Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201193
2
Cytogenetic findings in acute biphenotypic leukaemia.
199687
3 199775
4 201164
5 199463
6 201561
7 200155
8 200049
9 201045
10 201244
11 199237
12 200334
13 199925
14 199619
15 200916
16 199615
17 200515
18 199614
19 199414
20 200211

About Toon Min

Toon Min is a scholar working on Hematology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 912 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Chronic Lymphocytic Leukemia Research (9 papers), Acute Lymphoblastic Leukemia research (9 papers), Chronic Myeloid Leukemia Treatments (9 papers), Sarcoma Diagnosis and Treatment (7 papers), Retinoids in leukemia and cellular processes (5 papers), Renal and related cancers (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Hematology (396 citations), Pulmonary and Respiratory Medicine (384 citations), Pathology and Forensic Medicine (157 citations), Genetics (91 citations) and Oncology (218 citations). Toon Min has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include John Swansbury, G. John Swansbury, Melissa Dainton, Khin Thway, Cyril Fisher, Daniel Catovsky, Andrew G. Nicholson, David González, D Catovsky and Ricardo Morilla. Their work appears in journals such as British Journal of Haematology, Blood, Sarcoma, Leukemia & lymphoma and Journal of Thoracic 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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