Gee Chuan Wong

778 total citations
35 papers, 485 citations indexed

About

Gee Chuan Wong is a scholar working on Oncology, Hematology and Genetics. According to data from OpenAlex, Gee Chuan Wong has authored 35 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 13 papers in Hematology and 7 papers in Genetics. Recurrent topics in Gee Chuan Wong's work include Acute Myeloid Leukemia Research (13 papers), Neutropenia and Cancer Infections (10 papers) and Blood Pressure and Hypertension Studies (5 papers). Gee Chuan Wong is often cited by papers focused on Acute Myeloid Leukemia Research (13 papers), Neutropenia and Cancer Infections (10 papers) and Blood Pressure and Hypertension Studies (5 papers). Gee Chuan Wong collaborates with scholars based in Singapore, United States and Germany. Gee Chuan Wong's co-authors include Kristine Fuimaono, Elazer R. Edelman, Abraham R. Tzafriri, Felix Mahfoud, Peter Markham, John H. Keating, Ban Hock Tan, Michael Böhm, Charles Koller and Steven M. Kornblau and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Gee Chuan Wong

31 papers receiving 474 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gee Chuan Wong Singapore 9 134 131 114 91 73 35 485
Androniki Bili United States 12 86 0.6× 69 0.5× 30 0.3× 82 0.9× 64 0.9× 17 619
A Indovina Italy 12 116 0.9× 247 1.9× 98 0.9× 54 0.6× 71 1.0× 29 448
Helen Enright Ireland 14 28 0.2× 345 2.6× 68 0.6× 81 0.9× 140 1.9× 41 625
Ana Garcia Diaz United Kingdom 11 38 0.3× 44 0.3× 118 1.0× 90 1.0× 16 0.2× 21 474
Satoshi Higasa Japan 14 53 0.4× 341 2.6× 52 0.5× 84 0.9× 135 1.8× 59 732
Nilgün Sayınalp Türkiye 11 35 0.3× 62 0.5× 59 0.5× 50 0.5× 33 0.5× 28 311
Yoshinobu Fuke Japan 13 34 0.3× 54 0.4× 45 0.4× 102 1.1× 32 0.4× 39 498
Nicola Farina Italy 13 28 0.2× 65 0.5× 70 0.6× 72 0.8× 28 0.4× 30 459
Marisa Santostefano Italy 10 58 0.4× 61 0.5× 31 0.3× 259 2.8× 43 0.6× 14 572
Gönül Aydoğan Türkiye 13 30 0.2× 123 0.9× 50 0.4× 133 1.5× 65 0.9× 50 534

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
1.
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Jain, Nitin, Jacqueline S. Garcia, Gee Chuan Wong, et al.. (2023). BH3 profiling identifies BCL-2 dependence in adult patients with early T-cell progenitor acute lymphoblastic leukemia. Blood Advances. 7(12). 2917–2923. 3 indexed citations
3.
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Wong, Gee Chuan, et al.. (2020). Midostaurin in acute myeloid leukemia: current evidence and practical considerations in routine clinical use. Minerva Medica. 111(5). 443–454. 1 indexed citations
5.
Lim, Tze Peng, et al.. (2019). The utility of voriconazole therapeutic drug monitoring in a multi-racial cohort in Southeast Asia. Journal of Global Antimicrobial Resistance. 21. 427–433. 8 indexed citations
6.
Lim, Alvin Soon Tiong, et al.. (2019). Chromosomal microarray analysis is superior in identifying cryptic aberrations in patients with acute lymphoblastic leukemia at diagnosis/relapse as a single assay. International Journal of Laboratory Hematology. 41(4). 561–571. 5 indexed citations
7.
Tzafriri, Abraham R., Felix Mahfoud, John H. Keating, et al.. (2019). Procedural and Anatomical Determinants of Multielectrode Renal Denervation Efficacy. Hypertension. 74(3). 546–554. 18 indexed citations
8.
Tan, Ban Hock, et al.. (2018). Impact of an alternating first-line antibiotics strategy in febrile neutropenia. PLoS ONE. 13(11). e0208039–e0208039. 2 indexed citations
9.
Tzafriri, Abraham R., John H. Keating, Peter Markham, et al.. (2015). Arterial microanatomy determines the success of energy-based renal denervation in controlling hypertension. DSpace@MIT (Massachusetts Institute of Technology). 6 indexed citations
10.
Tzafriri, Abraham R., Felix Mahfoud, John H. Keating, et al.. (2014). Innervation Patterns May Limit Response to Endovascular Renal Denervation. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
11.
Tzafriri, Abraham R., Felix Mahfoud, John H. Keating, et al.. (2014). TCT- 402 Renal Norepinephrine Reduction Following Radiofrequency Renal Denervation Correlates with Extent of Nerve Ablation: Roles of Ablation Areas, Anatomy, and Number of Treatments. Journal of the American College of Cardiology. 64(11). B119–B119. 2 indexed citations
12.
Tzafriri, Abraham R., Felix Mahfoud, John H. Keating, et al.. (2014). TCT-425 Innervation Patterns in the Renal Artery Ostium May Limit the Efficacy of Endovascular Radiofrequency Ablation. Journal of the American College of Cardiology. 64(11). B125–B125.
13.
Tzafriri, Abraham R., Felix Mahfoud, John H. Keating, et al.. (2014). Innervation Patterns May Limit Response to Endovascular Renal Denervation. Journal of the American College of Cardiology. 64(11). 1079–1087. 81 indexed citations
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Seifert, Philip, Kathryn Regan, Brett G. Zani, Gee Chuan Wong, & James Stanley. (2013). Correlative evaluation of variable pressure-scanning electron microscopy to histology methods for vascular tissues. Journal of Histotechnology. 36(1). 25–29. 1 indexed citations
16.
Wong, Gee Chuan, et al.. (2011). Leukaemic transformation of Philadelphia chromosome‐negative myeloproliferative neoplasms: are Asian patients different?. Internal Medicine Journal. 42(5). 513–517. 1 indexed citations
17.
Tan, Ban Hock, Jenny G. Low, Asok Kurup, et al.. (2011). Galactomannan-guided preemptive vs. empirical antifungals in the persistently febrile neutropenic patient: a prospective randomized study. International Journal of Infectious Diseases. 15(5). e350–e356. 43 indexed citations
18.
Wong, Gee Chuan & Lai Heng Lee. (2006). Acute biphenotypic leukemia arising in a patient with essential thrombocythemia. American Journal of Hematology. 81(8). 624–626. 4 indexed citations
19.
Wong, Gee Chuan. (2002). Management of Haematologic Malignancies in Pregnancy. Annals of the Academy of Medicine Singapore. 31(3). 303–310. 5 indexed citations
20.
Schneider, Andrew M., David J. Straus, Alice E. Schluger, et al.. (1990). Treatment results with an aggressive chemotherapeutic regimen (MACOP-B) for intermediate- and some high-grade non-Hodgkin's lymphomas.. Journal of Clinical Oncology. 8(1). 94–102. 44 indexed citations

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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