Hui‐Peng Lee

984 citations
16 papers · 662 · 1 hit paper · h-index 8

Impact in

Papers in

Hui‐Peng Lee

15 papers receiving 652 citations

Hui‐Peng Lee's Hit Papers

A randomized phase 3 trial of zanubrutinib vs ibrutinib in symptomatic Waldenström macroglobulinemia: the ASPEN study 2020 · 365 citations
3650+2+4Years since publication100200300

Peers

Hui‐Peng Lee
Comparison fields: 5 of 42
  • Genetics 487
  • Pathology and Forensic Medicine 378
  • Hematology 128
  • Immunology 121
  • Oncology 142
Replace Rodrigo Santucci Silva with:
Rodrigo Santucci Silva United States
Tommi Salmi China
Kara Higgins United States
Marie‐Sarah Dilhuydy United States
Mariya Salman United States
Sophia Sohoni United States
Shenmiao Yang China
Tomás José González‐López Spain
Athanassios Zomas Greece
Zoltán Gasztonyi Hungary
Hui‐Peng Lee relative to Rodrigo Santucci Silva United States Rodrigo Santucci Silva's profile →
Citations per field
00.5×2×4×6×
Rodrigo Santucci Silva · 1×
Citations per year

Countries citing papers authored by Hui‐Peng Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Peng Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Peng Lee. 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 Hui‐Peng Lee. The network helps show where Hui‐Peng Lee may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
A randomized phase 3 trial of zanubrutinib vs ibrutinib in symptomatic Waldenström macroglobulinemia: the ASPEN study
Hit paper breakdown →
2020365
2 202377
3 202070
4 202032
5 202032
6 202426
7 202523
8 202413
9 20216
10 20235
11 20194
12 20254
13 20242
14 20211
15 20251
16 20251

About Hui‐Peng Lee

Hui‐Peng Lee is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Hematology and Neurology, having authored 16 papers that have together received 662 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Chronic Lymphocytic Leukemia Research (10 papers), Viral-associated cancers and disorders (4 papers), Chronic Myeloid Leukemia Treatments (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), CAR-T cell therapy research (1 paper) and Neutropenia and Cancer Infections (1 paper). The work is most often cited by research in Genetics (487 citations), Pathology and Forensic Medicine (378 citations), Hematology (128 citations), Immunology (121 citations) and Oncology (142 citations). Hui‐Peng Lee has collaborated with scholars based in Australia, United States and Czechia. Frequent co-authors include Jia Li, Rémy Gressin, Keith C. Fay, Javier L Munoz, David Belada, René-Olivier Casasnovas, Morton Coleman, Douglas James DeMarini, Amitkumar Mehta and Gregor E. G. Verhoef. Their work appears in journals such as Blood Advances, Journal of Clinical Oncology, Blood, The Lancet and Hematological Oncology.

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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