Chan Y. Cheah

9.3k citations
196 papers · 3.5k indexed · 2 hit papers · h-index 30
Topics
Lymphoma Diagnosis and Treatment (145 papers)Chronic Lymphocytic Leukemia Research (90 papers)CAR-T cell therapy research (41 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Chan Y. Cheah

169 papers receiving 3.5k citations

Hit Papers

Safety and efficacy of mosunetuzumab, a bispecific antibo...20222026202320242022202250100150200

Peers

Chan Y. Cheah
Comparison fields: 5 of 110
  • Pathology and Forensic Medicine 2.3k
  • Oncology 1.7k
  • Genetics 1.2k
  • Neurology 614
  • Immunology 441
Replace Hervé Ghesquières with:
Hervé Ghesquières France
Marcel Reiser Germany
Judith Trotman Australia
Mats Jerkeman Sweden
R. Gregory Bociek United States
Dok Hyun Yoon South Korea
Matthew J. Matasar United States
Gustaaf W. van Imhoff Netherlands
Loïc Ysebaert France
Paul A. Hamlin United States
Chan Y. Cheah relative to Hervé Ghesquières France Hervé Ghesquières's profile →
Citations per field
00.5×1.5×2.2×
Hervé Ghesquières · 1×
Citations per year

Countries citing papers authored by Chan Y. Cheah

Since Specialization
Citations

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

Fields of papers citing papers by Chan Y. Cheah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Y. Cheah. 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 Chan Y. Cheah. The network helps show where Chan Y. Cheah may publish in the future.

Co-authorship network of co-authors of Chan Y. Cheah

This figure shows the co-authorship network connecting the top 25 collaborators of Chan Y. Cheah. A scholar is included among the top collaborators of Chan Y. Cheah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chan Y. Cheah. Chan Y. Cheah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 5
3 5
4 34
5 2
6 15
7 1
8 3
9 6
10 3
11 11
12 4
13 17
14 22
15
TG-1701 A selective bruton tyrosine kinase (btk) inhibitor, as monotherapy and in combination with ublituximab and umbralisib (u2) in chronic lymphocytic leukemia (cll) and lymphoma
1
16 27
17 0
18 5
19 28
20 0

About Chan Y. Cheah

Chan Y. Cheah is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology, having authored 196 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (145 papers), Chronic Lymphocytic Leukemia Research (90 papers) and CAR-T cell therapy research (41 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.3k citations), Genetics (1.2k citations) and Oncology (1.7k citations). Chan Y. Cheah has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John F. Seymour, Nathan Fowler, Michael Wang, Andrew Wirth, Katharine L. Lewis, Toby A. Eyre, Tarec Christoffer El‐Galaly, H. Miles Prince, Loretta J. Nastoupil and Dai Chihara. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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