Eric Cheung

816 citations
21 papers · 498 · h-index 11

Impact in

Papers in

Eric Cheung

20 papers receiving 491 citations

Peers

Eric Cheung
Comparison fields: 5 of 59
  • Pathology and Forensic Medicine 228
  • Oncology 244
  • Neurology 119
  • Genetics 58
  • Immunology and Allergy 30
Replace Pablo Gajate with:
Pablo Gajate Spain
Feifei Nan China
Christina Williamson United States
Zebing Liu China
Kara Penne United States
M.T. Allende Spain
Tamahiro Nishihara Japan
Vadim Baykov Russia
Florian Ewald Germany
Michele Prisciandaro Italy
Eric Cheung relative to Pablo Gajate Spain Pablo Gajate's profile →
Citations per field
00.5×4.6×
Pablo Gajate · 1×
Citations per year

Countries citing papers authored by Eric Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Eric Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018152
2 201956
3 200148
4 201543
5 200638
6 200929
7 200923
8 200022
9 201420
10 200716
11 200511
12
Prognostic value of the androgen receptor and its coactivators in patients with D1 prostate cancer.
20088
13 20198
14 20074
15 20214
16 19954
17 20084
18 20173
19 20183
20 19952

About Eric Cheung

Eric Cheung is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 21 papers that have together received 498 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Fibroblast Growth Factor Research (4 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer, Lipids, and Metabolism (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (228 citations), Oncology (244 citations), Neurology (119 citations), Genetics (58 citations) and Immunology and Allergy (30 citations). Eric Cheung has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Howard A. Liebman, Ranjana H. Advani, Stephen M. Ansell, Ahmed Sawas, Ann S. LaCasce, David S. Edwards, Julie M. Vose, Milind Rajopadhye, Neil C. Josephson and Miguel Islas‐Ohlmayer. Their work appears in journals such as Blood, Journal of Clinical Oncology, Bioconjugate Chemistry, Hematology/Oncology Clinics of North America and The Journal of Clinical Pharmacology.

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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