Michelle Poon

1.4k citations
38 papers · 243 · h-index 10

Impact in

Papers in

Michelle Poon

34 papers receiving 239 citations

Peers

Michelle Poon
Comparison fields: 5 of 31
  • Hematology 84
  • Pathology and Forensic Medicine 65
  • Oncology 85
  • Genetics 29
  • Public Health, Environmental and Occupational Health 62
Replace Ryoko Yamasaki with:
Ryoko Yamasaki Japan
Bruce Greig United States
Seçkin Çağırgan Türkiye
Yasutaka Aoyama Japan
Inna Timofeeva Italy
Shinichiro Machida Japan
Alicia Bailén Spain
T. Lehtinen Finland
Chiara Frairia Italy
T Iseki Japan
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Citations per field
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Ryoko Yamasaki · 1×
Citations per year

Countries citing papers authored by Michelle Poon

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201636
2 201528
3 202224
4 202016
5 202212
6 201111
7 202310
8 201110
9 20219
10 20149
11 20149
12 20099
13 20179
14 20157
15 20236
16 20195
17 20085
18 20234
19 20163
20 20193

About Michelle Poon

Michelle Poon is a scholar working on Pathology and Forensic Medicine, Hematology, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 38 papers that have together received 243 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Acute Lymphoblastic Leukemia research (11 papers), CAR-T cell therapy research (9 papers), Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (84 citations), Pathology and Forensic Medicine (65 citations), Oncology (85 citations), Genetics (29 citations) and Public Health, Environmental and Occupational Health (62 citations). Michelle Poon has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Partow Kebriaei, Celina Ledesma, Richard E. Champlin, Liang Piu Koh, Yen Lin Chee, Jeffrey L. Jorgensen, Sameh Gaballa, Jonathan E. Brammer, Chitra Hosing and Rima M. Saliba. Their work appears in journals such as Blood, Bone Marrow Transplantation, Hematological Oncology, Journal of Clinical Oncology and International Journal of Hematology.

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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