Hui Gan

14.8k total citations · 3 hit papers
326 papers, 7.5k citations indexed

About

Hui Gan is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Hui Gan has authored 326 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Oncology, 80 papers in Genetics and 70 papers in Molecular Biology. Recurrent topics in Hui Gan's work include Glioma Diagnosis and Treatment (78 papers), HER2/EGFR in Cancer Research (34 papers) and Cancer Immunotherapy and Biomarkers (33 papers). Hui Gan is often cited by papers focused on Glioma Diagnosis and Treatment (78 papers), HER2/EGFR in Cancer Research (34 papers) and Cancer Immunotherapy and Biomarkers (33 papers). Hui Gan collaborates with scholars based in Australia, China and United States. Hui Gan's co-authors include Andrew M. Scott, Sagun Parakh, Terrance G. Johns, Umbreen Hafeez, Rodney B. Luwor, Benoît You, Anna N. Cvrljevic, Andrew H. Kaye, Julien Péron and Taolei Sun and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Hui Gan

305 papers receiving 7.3k citations

Hit Papers

Risk factors for severe and critically ill COVID‐19 patie... 2020 2026 2022 2024 2020 2020 2023 250 500 750

Peers

Hui Gan
Comparison fields: 5 of 169
  • Oncology 2.4k
  • Molecular Biology 1.9k
  • Genetics 1.2k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Pulmonary and Respiratory Medicine 1.2k
Replace Lynette M. Smith with:
Lynette M. Smith United States
Sang‐Cheol Bae South Korea
William L. Carroll United States
Eugene P. Frenkel United States
Keith R. McCrae United States
Gertjan J.L. Kaspers Netherlands
Kihyun Kım South Korea
Ömer Yılmaz Türkiye
Feng Gao United States
Anna K. Nowak Australia
Lynette M. Smith United States View profile →
Citations per field, relative to Hui Gan
Hui Gan · 1×
Citations per year, relative to Hui Gan
Hui Gan · 1×

Countries citing papers authored by Hui Gan

Since Specialization
Citations

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

Fields of papers citing papers by Hui Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Gan. A scholar is included among the top collaborators of Hui Gan 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 Hui Gan. Hui Gan 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 0
2 1
3 1
4 2
5 3
6 5
7 4
8 45
9 1
10 2
11 12
12 18
13 20
14 30
15 19
16
Risk factors for severe and critically ill COVID‐19 patients: A review breakdown →
850
17 41
18 25
19
ATHENA (GOG-3020/ENGOT-ov45): A randomised, double-blind, placebo-controlled, phase 3 study of rucaparib plus nivolumab following front-line platinum-based chemotherapy in ovarian cancer
1
20 90

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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2026