Gin Gin Gan

1.4k total citations
81 papers, 823 citations indexed

About

Gin Gin Gan is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, Gin Gin Gan has authored 81 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hematology, 19 papers in Oncology and 18 papers in Genetics. Recurrent topics in Gin Gin Gan's work include Lymphoma Diagnosis and Treatment (14 papers), Chronic Myeloid Leukemia Treatments (11 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Gin Gin Gan is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), Chronic Myeloid Leukemia Treatments (11 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Gin Gin Gan collaborates with scholars based in Malaysia, Singapore and Taiwan. Gin Gin Gan's co-authors include Ping Chong Bee, I‐Ching Sam, B. J. J. Abdullah, Adeeba Kamarulzaman, Maude E. Phipps, Zahurin Mohamed, Heng Thay Chong, Shamsul Mohd Zain, Chee-Shee Chai and Tan Seng Beng and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Gin Gin Gan

71 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gin Gin Gan Malaysia 15 185 141 100 99 88 81 823
Luis Rojas Chile 16 136 0.7× 62 0.4× 97 1.0× 18 0.2× 59 0.7× 48 636
George A. Davis United States 15 118 0.6× 40 0.3× 71 0.7× 41 0.4× 122 1.4× 51 885
Bente Glintborg Denmark 26 87 0.5× 629 4.5× 107 1.1× 91 0.9× 33 0.4× 109 2.3k
Scott C. Litin United States 21 43 0.2× 55 0.4× 141 1.4× 23 0.2× 69 0.8× 63 1.1k
Adam S. Faye United States 17 93 0.5× 31 0.2× 100 1.0× 17 0.2× 68 0.8× 87 980
Karl Matuszewski United States 15 58 0.3× 124 0.9× 64 0.6× 27 0.3× 61 0.7× 34 809
John Valgus United States 14 88 0.5× 22 0.2× 45 0.5× 45 0.5× 32 0.4× 36 643
Micah McCumber United States 12 44 0.2× 374 2.7× 135 1.4× 73 0.7× 143 1.6× 28 1.6k
Cunlin Wang United States 15 51 0.3× 145 1.0× 45 0.5× 96 1.0× 50 0.6× 25 839
M. Bewick United Kingdom 24 50 0.3× 90 0.6× 130 1.3× 36 0.4× 259 2.9× 86 1.7k

Countries citing papers authored by Gin Gin Gan

Since Specialization
Citations

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

Fields of papers citing papers by Gin Gin Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gin Gin Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Gin Gin Gan. A scholar is included among the top collaborators of Gin Gin 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 Gin Gin Gan. Gin Gin 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
1.
Nagarajan, Chandramouli, Gin Gin Gan, Chor Sang Chim, et al.. (2025). Imaging in plasma cell disorders—consensus recommendations of the Asian myeloma network bone imaging workgroup. The Lancet Regional Health - Western Pacific. 59. 101597–101597.
3.
Iyadorai, Thevambiga, Sun Tee Tay, Chandramathi Samudi, et al.. (2025). Incidence and Risk Factors for Invasive Fungal Infection in Patients with Hematological Malignancies at a Tertiary Hospital in Malaysia. Asian Pacific Journal of Cancer Prevention. 26(3). 839–845.
4.
Gan, Gin Gin, et al.. (2024). Peripherally Inserted Central Venous Catheter-Related Complications in Adult Patients with Haematological Malignancy. Malaysian Journal of Medical Sciences. 31(2). 52–61. 1 indexed citations
5.
Aoki, Naomi, Wenming Chen, Wee Joo Chng, et al.. (2024). The establishment of a multiple myeloma clinical registry in the Asia–Pacific region: The Asia–Pacific Myeloma and Related Diseases Registry (APAC MRDR). BMC Medical Research Methodology. 24(1). 102–102.
6.
Gan, Gin Gin, Marniza Saad, Adaikalavan Ramasamy, et al.. (2024). Antibody Response Following COVID-19 Vaccination in Malaysian Cancer Patients and Healthy Individuals. Cureus. 16(11). e73528–e73528.
7.
Dee, Edward Christopher, et al.. (2024). Disparities in incidence and mortality of hematologic cancers in Southeast Asia: A 2020 analysis.. Journal of Clinical Oncology. 42(16_suppl). e23291–e23291. 1 indexed citations
9.
Iyadorai, Thevambiga, Sun Tee Tay, Chandramathi Samudi, et al.. (2024). A review of the epidemiology of invasive fungal infections in Asian patients with hematological malignancies (2011–2021). Epidemiologic Reviews. 46(1). 1–12. 3 indexed citations
10.
Rajasuriar, Reena, et al.. (2023). The Role of the Gut Microbiome in Hematological Cancers. Molecular Cancer Research. 22(1). 7–20. 7 indexed citations
11.
Bee, Ping Chong, et al.. (2023). CMV Infection Post Allogeneic Hematopoietic Stem Cell Transplantation in a Resource Limited Country. Indian Journal of Hematology and Blood Transfusion. 40(1). 97–102. 2 indexed citations
12.
Gill, Harinder, Garret M. K. Leung, Melissa Ooi, et al.. (2023). Management of classical Philadelphia chromosome-negative myeloproliferative neoplasms in Asia: consensus of the Asian Myeloid Working Group. Clinical and Experimental Medicine. 23(8). 4199–4217.
13.
Gan, Gin Gin, et al.. (2020). Evolution of Hematopoietic Stem Cell Transplant Programs in Malaysia. PubMed. 3(3). 44–47. 1 indexed citations
14.
Rajaram, Ruveena Bhavani, et al.. (2020). Hydroxyurea associated ileocecal valve ulcer: evidence for causality. Intestinal Research. 19(4). 468–471. 2 indexed citations
15.
Bee, Ping Chong, et al.. (2020). Outcomes of high dose therapy and autologous haematopoietic stem cell transplantation for non‐hodgkin lymphoma: A retrospective analysis in a resource‐limited country. International Journal of Clinical Practice. 75(3). e13823–e13823. 1 indexed citations
16.
Liew, Su May, et al.. (2019). Clinical significance of aberrant microRNAs expression in predicting disease relapse/refractoriness to treatment in diffuse large B-cell lymphoma: A meta-analysis. Critical Reviews in Oncology/Hematology. 144. 102818–102818. 16 indexed citations
17.
Gan, Gin Gin, et al.. (2014). Genetic polymorphisms in the one-carbon metabolism pathway genes and susceptibility to non-Hodgkin lymphoma. Tumor Biology. 36(3). 1819–1834. 5 indexed citations
18.
Gan, Gin Gin, et al.. (2012). Allele and Genotype frequencies of VKORC1 -1639G>A polymorphism in three different ethnic groups in Malaysia. 20(1). 19–23. 3 indexed citations
19.
Gan, Gin Gin, et al.. (2007). Bacteremia in patients with febrile neutropenia after chemotherapy at a university medical center in Malaysia. International Journal of Infectious Diseases. 11(6). 513–517. 50 indexed citations
20.
Gan, Gin Gin, et al.. (2003). Frequency of Cytochrome P450 2C9 (CYP2C9) Alleles in Three Ethnic Groups in Malaysia. 11(2). 83–91. 16 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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