Gee Chuan Wong

778 citations
35 papers · 485 indexed · h-index 9
Topics
Acute Myeloid Leukemia Research (13 papers)Neutropenia and Cancer Infections (10 papers)Blood Pressure and Hypertension Studies (5 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Gee Chuan Wong

31 papers receiving 474 citations

Peers

Gee Chuan Wong
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 134
  • Hematology 131
  • Oncology 114
  • Molecular Biology 91
  • Genetics 73
Replace Lois Friedlander with:
Lois Friedlander United States
Marisa Santostefano Italy
Androniki Bili United States
Anabela Cardoso United States
Markus Pirklbauer Austria
Atsumi Harada Japan
Marco Ulises Martínez‐Martínez Mexico
Reo Tanoshima Japan
Yoshinobu Fuke Japan
Timothy Tong United States
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Citations per field
00.5×7.8×
Lois Friedlander · 1×
Citations per year

Countries citing papers authored by Gee Chuan Wong

Since Specialization
Citations

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

Fields of papers citing papers by Gee Chuan Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gee Chuan Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Gee Chuan Wong. A scholar is included among the top collaborators of Gee Chuan Wong 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 Gee Chuan Wong. Gee Chuan Wong 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
#WorkIndexed citations
1 0
2 3
3 1
4 1
5 8
6 5
7 2
8
Arterial microanatomy determines the success of energy-based renal denervation in controlling hypertension
6
9
Innervation Patterns May Limit Response to Endovascular Renal Denervation
2
10 2
11 0
12 81
13 3
14 43
15 1
16 4
17 5
18 4
19 22
20 44

About Gee Chuan Wong

Gee Chuan Wong is a scholar working on Hematology, Genetics and Oncology, having authored 35 papers that have together received 485 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Neutropenia and Cancer Infections (10 papers) and Blood Pressure and Hypertension Studies (5 papers). The work is most often cited by research in Hematology (131 citations), Genetics (73 citations) and Cardiology and Cardiovascular Medicine (134 citations). Gee Chuan Wong has collaborated with scholars based in Singapore, United States and Germany. Frequent co-authors include Abraham R. Tzafriri, Peter Markham, Elazer R. Edelman, Kristine Fuimaono, Felix Mahfoud, John H. Keating, Ban Hock Tan, Michael Böhm, Elihu H. Estey and Charles Koller. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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