Mabel Wong

22 papers receiving 510 citations

Peers

Mabel Wong
Comparison fields: 5 of 76
  • Pharmacology 78
  • Biological Psychiatry 18
  • Genetics 61
  • Pulmonary and Respiratory Medicine 164
  • Oncology 112
Replace Frank S Ong with:
Frank S Ong United States
Fei Xiong China
Giuseppe Miscio Italy
Hengyue Zhu China
Wei Zou China
Lena Klevenvall Sweden
Xuesong Gao China
Suharsh Shah Canada
Wendell-Lamar B. Blackwell United States
Mabel Wong relative to Frank S Ong United States Frank S Ong's profile →
Citations per field
00.5×4.6×
Frank S Ong · 1×
Citations per year

Countries citing papers authored by Mabel Wong

Since Specialization
Citations

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

Fields of papers citing papers by Mabel Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015192
2 2011100
3 201649
4 198245
5 197936
6 202213
7 201413
8 201611
9 201910
10 20139
11 20129
12 20178
13 20127
14 20135
15 20245
16
Overall survival by clinical risk category for high dose interleukin-2 (HD IL-2) treated patients with metastatic renal cell cancer (mRCC): data from the PROCLAIM
20195
17 20154
18 20143
19 20122
20 20241

About Mabel Wong

Mabel Wong is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 24 papers that have together received 529 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Neutropenia and Cancer Infections (4 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related cognitive impairment studies (2 papers), Renal cell carcinoma treatment (1 paper), BRCA gene mutations in cancer (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Pharmacology (78 citations), Biological Psychiatry (18 citations), Genetics (61 citations), Pulmonary and Respiratory Medicine (164 citations) and Oncology (112 citations). Mabel Wong has collaborated with scholars based in Singapore, Canada and United Kingdom. Frequent co-authors include Yoon Sim Yap, Raymond Ng, Alexandre Chan, Denise L. Spitzer, Nan Soon Wong, A Wilkinson, Onkar Singh, Balram Chowbay, Joanne Lim and Edmund J.D. Lee. Their work appears in journals such as European Journal of Cancer, Journal of Clinical Oncology, Current Problems in Cardiology, Cellular Immunology and Transplantation.

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.

Explore authors with similar magnitude of impact