Toon Min

1.2k citations
40 papers · 1.0k · h-index 16

Impact in

Papers in

    • Acute Myeloid Leukemia Research 17
    • Chronic Myeloid Leukemia Treatments 9
    • Chronic Lymphocytic Leukemia Research 9

Toon Min

40 papers receiving 956 citations

Peers

Toon Min
Comparison fields: 5 of 53
  • Hematology 416
  • Pulmonary and Respiratory Medicine 389
  • Genetics 96
  • Pathology and Forensic Medicine 150
  • Rheumatology 108
Replace D. Harms with:
D. Harms Germany
Judith E. Kingston United Kingdom
Raffaello Bertieri Italy
Jacques Olivier Bay France
Kathryn E. Pearce United States
St. Müller-Weihrich Germany
Matthew Hiemenz United States
Rebecca J. Deyell Canada
Lisa Lassay Germany
Phillip Barnette United States
Toon Min relative to D. Harms Germany D. Harms's profile →
Citations per field
00.5×1.5×2×2.4×
D. Harms · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011108
2
Cytogenetic findings in acute biphenotypic leukaemia.
199699
3 199784
4 201570
5 199466
6 201165
7 200058
8 200157
9 201046
10 201246
11 199239
12 200336
13 199927
14 199620
15 199618
16 200917
17 199416
18 199615
19 200515
20 200212

About Toon Min

Toon Min is a scholar working on Hematology, Genetics, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Acute Lymphoblastic Leukemia research (9 papers), Chronic Myeloid Leukemia Treatments (9 papers), Chronic Lymphocytic Leukemia Research (9 papers), Sarcoma Diagnosis and Treatment (7 papers), Retinoids in leukemia and cellular processes (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Hematology (416 citations), Pulmonary and Respiratory Medicine (389 citations), Genetics (96 citations), Pathology and Forensic Medicine (150 citations) and Rheumatology (108 citations). Toon Min has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include John G. Swansbury, G. John Swansbury, Melissa Dainton, Khin Thway, Cyril Fisher, Daniel Catovsky, Andrew Gordon Nicholson, David González de Castro, Daniel Catovsky and Ricardo M. Morilla. Their work appears in journals such as British Journal of Haematology, Blood, Sarcoma, Leukemia & lymphoma and Bone Marrow Transplantation.

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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