Gilbert Fan
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Biological Psychiatry top 10%
Papers in
-
- Cancer-related cognitive impairment studies 10
- Oncology 8
- Cancer survivorship and care 8
- Co-authors
- Yee Pin Tan (8 shared papers)Alexandre Chan (9 shared papers)Yin Ting Cheung (6 shared papers)Raymond Ng (6 shared papers)Wei Ooi (4 shared papers)Rebecca Dent (4 shared papers)Wei Sean Yong (4 shared papers)Preetha Madhukumar (4 shared papers)
In The Last Decade
Gilbert Fan
19 papers receiving 472 citations
Gilbert Fan's Hit Papers
Peers
Comparison fields: 5 of 80
- Genetics 156
- Biological Psychiatry 31
- Pulmonary and Respiratory Medicine 290
- Critical Care and Intensive Care Medicine 36
- Oncology 151
Countries citing papers authored by Gilbert Fan
This map shows the geographic impact of Gilbert Fan'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 Gilbert Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilbert Fan more than expected).
Fields of papers citing papers by Gilbert Fan
This network shows the impact of papers produced by Gilbert Fan. 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 Gilbert Fan. The network helps show where Gilbert Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Gilbert Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 186 | |
| 2 | 2014 | 93 | |
| 3 | 2012 | 53 | |
| 4 | 2017 | 37 | |
| 5 | 2014 | 20 | |
| 6 | 2014 | 18 | |
| 7 | 2015 | 18 | |
| 8 | The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance: a comparative study with traditional pair programming and individual approaches Hit paper breakdown → | 2025 | 15 |
| 9 | 2016 | 15 | |
| 10 | 2016 | 8 | |
| 11 | 2015 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2022 | 4 | |
| 14 | Using Causal Layered Analysis to Understand the Alliance between Social Workers with Their Professional Association | 2014 | 2 |
| 15 | 2025 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2025 | 0 |
About Gilbert Fan
Gilbert Fan is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Sociology and Political Science, Clinical Psychology and Genetics, having authored 20 papers that have together received 486 indexed citations. Recurring topics across this work include Cancer-related cognitive impairment studies (10 papers), Cancer survivorship and care (8 papers), Family Support in Illness (4 papers), Palliative Care and End-of-Life Issues (3 papers), Glioma Diagnosis and Treatment (3 papers), Breast Cancer Treatment Studies (2 papers), Grief, Bereavement, and Mental Health (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Genetics (156 citations), Biological Psychiatry (31 citations), Pulmonary and Respiratory Medicine (290 citations), Critical Care and Intensive Care Medicine (36 citations) and Oncology (151 citations). Gilbert Fan has collaborated with scholars based in Singapore, Australia and China. Frequent co-authors include Yee Pin Tan, Alexandre Chan, Yin Ting Cheung, Raymond Ng, Wei Ooi, Rebecca Dent, Wei Sean Yong, Preetha Madhukumar, Yoon Sim Yap and Wen Yee Chay. Their work appears in journals such as BMC Nursing, Annals of Oncology, Journal of Clinical Oncology, Journal of Cancer Survivorship and Psycho-Oncology.
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.