Gin Gin Gan
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
Papers in
- Hematology 31
- Chronic Myeloid Leukemia Treatments 11
- Multiple Myeloma Research and Treatments 9
- Hematopoietic Stem Cell Transplantation 7
- Oncology 19
- Co-authors
- Ping Chong Bee (35 shared papers)I‐Ching Sam (3 shared papers)B. J. J. Abdullah (1 shared paper)Adeeba Kamarulzaman (1 shared paper)Zahurin Mohamed (5 shared papers)Maude E. Phipps (3 shared papers)Shamsul Mohd Zain (4 shared papers)Heng Thay Chong (1 shared paper)
In The Last Decade
Gin Gin Gan
71 papers receiving 798 citations
Peers
Comparison fields: 5 of 102
- Internal Medicine 82
- Hematology 141
- Emergency Medical Services 88
- Clinical Biochemistry 66
- Genetics 99
Countries citing papers authored by Gin Gin Gan
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
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-authors
The 25 scholars most cited alongside Gin Gin Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 96 | |
| 2 | Anxiety, depression and quality of life of medical students in Malaysia. | 2019 | 77 |
| 3 | 2014 | 63 | |
| 4 | 2007 | 50 | |
| 5 | 2003 | 46 | |
| 6 | 2010 | 38 | |
| 7 | 2008 | 38 | |
| 8 | 2015 | 25 | |
| 9 | 2019 | 23 | |
| 10 | 2022 | 20 | |
| 11 | 2010 | 18 | |
| 12 | Frequency of Cytochrome P450 2C9 (CYP2C9) Alleles in Three Ethnic Groups in Malaysia | 2003 | 16 |
| 13 | 2019 | 16 | |
| 14 | 2009 | 15 | |
| 15 | 2004 | 14 | |
| 16 | 2008 | 14 | |
| 17 | 2008 | 13 | |
| 18 | 2008 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2011 | 12 |
About Gin Gin Gan
Gin Gin Gan is a scholar working on Hematology, Oncology, Genetics, Pathology and Forensic Medicine and Epidemiology, having authored 81 papers that have together received 823 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Multiple Myeloma Research and Treatments (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Immune Cell Function and Interaction (6 papers) and Eosinophilic Disorders and Syndromes (6 papers). The work is most often cited by research in Internal Medicine (82 citations), Hematology (141 citations), Emergency Medical Services (88 citations), Clinical Biochemistry (66 citations) and Genetics (99 citations). Gin Gin Gan has collaborated with scholars based in Malaysia, Singapore and Taiwan. Frequent co-authors include Ping Chong Bee, I‐Ching Sam, B. J. J. Abdullah, Adeeba Kamarulzaman, Zahurin Mohamed, Maude E. Phipps, Shamsul Mohd Zain, Heng Thay Chong, Tan Seng Beng and Chee-Shee Chai. Their work appears in journals such as International Journal of Hematology, Blood, Supportive Care in Cancer, International Journal of Clinical Practice and Annals of Hematology.
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.