David T Yeung

4.6k total citations · 1 hit paper
131 papers, 2.3k citations indexed

About

David T Yeung is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David T Yeung has authored 131 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Hematology, 73 papers in Genetics and 45 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David T Yeung's work include Chronic Myeloid Leukemia Treatments (80 papers), Chronic Lymphocytic Leukemia Research (57 papers) and Acute Lymphoblastic Leukemia research (45 papers). David T Yeung is often cited by papers focused on Chronic Myeloid Leukemia Treatments (80 papers), Chronic Lymphocytic Leukemia Research (57 papers) and Acute Lymphoblastic Leukemia research (45 papers). David T Yeung collaborates with scholars based in Australia, United States and New Zealand. David T Yeung's co-authors include Timothy P. Hughes, Deborah L. White, Susan Branford, David M. Ross, Andrew Grigg, John F. Seymour, Phuong Dang, Robin Filshie, Anthony P. Schwarer and Anthony K. Mills and has published in prestigious journals such as New England Journal of Medicine, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

David T Yeung

119 papers receiving 2.2k citations

Hit Papers

Safety and efficacy of imatinib cessation for CML patient... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers

David T Yeung
Comparison fields: 5 of 109
  • Hematology 1.6k
  • Genetics 1.3k
  • Rheumatology 596
  • Molecular Biology 408
  • Oncology 358
Replace Gareth Gerrard with:
Gareth Gerrard United Kingdom
Sebastian Kreil Germany
Malin Hultcrantz United States
Jamshid S. Khorashad United Kingdom
Md Ariful Haque China
Katy Rezvani United States
Saengsuree Jootar Thailand
David Marín United Kingdom
Sandip Shah India
Philippe Mineur Belgium
Gareth Gerrard United Kingdom View profile →
Citations per field, relative to David T Yeung
David T Yeung · 1×
Citations per year, relative to David T Yeung
David T Yeung · 1×

Countries citing papers authored by David T Yeung

Since Specialization
Citations

This map shows the geographic impact of David T Yeung'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 David T Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T Yeung more than expected).

Fields of papers citing papers by David T Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T Yeung. 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 David T Yeung. The network helps show where David T Yeung may publish in the future.

Co-authorship network of co-authors of David T Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of David T Yeung. A scholar is included among the top collaborators of David T Yeung 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 David T Yeung. David T Yeung 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
# Work Indexed citations
1 2
2 0
3 0
4 2
5 2
6 1
7 0
8 1
9 1
10 5
11 1
12 3
13 10
14 5
15 10
16 3
17 4
18 17
19 54
20 20

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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