Nan Soon Wong

1.7k citations
39 papers · 1.1k indexed · h-index 20
  • Oncology top 5%
    • Cancer Treatment and Pharmacology 12
    • Colorectal Cancer Treatments and Studies 6
    • Global Cancer Incidence and Screening 5
    • HER2/EGFR in Cancer Research 4
    • Breast Cancer Treatment Studies 14
    • Pharmacogenetics and Drug Metabolism 5
  • Genetics top 10%
    • Estrogen and related hormone effects 6
    • Chronic Lymphocytic Leukemia Research 3

Nan Soon Wong

39 papers receiving 1.1k citations

Peers

Nan Soon Wong
Comparison fields: 5 of 96
  • Oncology 686
  • Cancer Research 321
  • Pharmacology 163
  • Dermatology 75
  • Genetics 217
Replace Álvaro Rodríguez-Lescure with:
Álvaro Rodríguez-Lescure Spain
H. L. McLeod United States
Edwina Baskin-Bey United States
Emiko Sugiyama Japan
Mehmet Sitki Copur United States
Fabienne Thomas France
Stephen Welch Canada
Ming Poi United States
David J. Bentrem United States
Linda M. Henricks Netherlands
Nan Soon Wong relative to Álvaro Rodríguez-Lescure Spain Álvaro Rodríguez-Lescure's profile →
Citations per field
00.5×1.5×2.1×
Álvaro Rodríguez-Lescure · 1×
Citations per year

Countries citing papers authored by Nan Soon Wong

Since Specialization
Citations

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

Fields of papers citing papers by Nan Soon Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20182
2 201620
3 201624
4 201633
5 201210
6 201240
7 201232
8 201245
9 20126
10 20119
11 201110
12 201142
13 2011100
14 200926
15 200857
16 20081
17 200721
18 200717
19 200657
20 20052

About Nan Soon Wong

Nan Soon Wong is a scholar working on Oncology, Cancer Research and Pharmacology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), Cancer Treatment and Pharmacology (12 papers), Colorectal Cancer Treatments and Studies (6 papers), Estrogen and related hormone effects (6 papers), Global Cancer Incidence and Screening (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), HER2/EGFR in Cancer Research (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Oncology (686 citations), Cancer Research (321 citations) and Pharmacology (163 citations). Nan Soon Wong has collaborated with scholars based in Singapore, Canada and United States. Frequent co-authors include Yoon Sim Yap, Raymond Ng, Balram Chowbay, Peter Ang, Edmund J.D. Lee, Puay Hoon Tan, Poh Yian Cheok, Aye Aye Thike, Gary M. Tse and Zee Wan Wong. Their work appears in journals such as Journal of Clinical Oncology, The Lancet Oncology and Clinical Cancer Research.

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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