Gavin Hui

475 citations
28 papers · 237 · h-index 7

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 7
    • CAR-T cell therapy research 3
    • Bladder and Urothelial Cancer Treatments 7
    • Genital Health and Disease 2
    • Urinary and Genital Oncology Studies 2

Gavin Hui

22 papers receiving 234 citations

Peers

Gavin Hui
Comparison fields: 5 of 54
  • Public Health, Environmental and Occupational Health 66
  • Surgery 79
  • Oncology 41
  • Genetics 44
  • Health Informatics 2
Replace Naoko Kinugawa with:
Naoko Kinugawa Japan
Bernhard Fahrner Austria
Ritsuo Honda Japan
Seung‐Chul Yoo South Korea
Augusto F. Mesia United States
Chikako Kiyotani Japan
Alisia Cesta Italy
Isabelle Marcillac France
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Gavin Hui relative to Naoko Kinugawa Japan Naoko Kinugawa's profile →
Citations per field
00.5×2×3×4.3×
Naoko Kinugawa · 1×
Citations per year

Countries citing papers authored by Gavin Hui

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199374
2 201744
3 202340
4 202216
5 201915
6 201511
7 20208
8 20234
9 20214
10 20213
11 20242
12 20222
13 20242
14 20232
15 20142
16 20202
17 20251
18 20221
19 20241
20 20231

About Gavin Hui

Gavin Hui is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology, having authored 28 papers that have together received 237 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Bladder and Urothelial Cancer Treatments (7 papers), CAR-T cell therapy research (3 papers), Acute Myeloid Leukemia Research (3 papers), Genital Health and Disease (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Urinary and Genital Oncology Studies (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (66 citations), Surgery (79 citations), Oncology (41 citations), Genetics (44 citations) and Health Informatics (2 citations). Gavin Hui has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Flavio Habal, Gordon R. Greenberg, Allan J. Pantuck, Alexandra Drakaki, Sandy Liu, Karim Chamie, Colleen Mathis, Nathan D. Wong, John Shen and Shiliang Zhang. Their work appears in journals such as Journal of Clinical Oncology, Blood, Gastroenterology, Journal of the American College of Cardiology and Journal of Cancer Survivorship.

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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