Diane Ng
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Clinical Psychology top 5%
- COVID-19 and Mental Health
Papers in
- Oncology 9
- Global Cancer Incidence and Screening 4
- Cancer survivorship and care 3
- Colorectal Cancer Screening and Detection 3
-
- Influenza Virus Research Studies 3
- Multiple and Secondary Primary Cancers 1
- Data-Driven Disease Surveillance 1
- Co-authors
- Benjamin J. Cowling (5 shared papers)Richard Fielding (3 shared papers)Qiuyan Liao (3 shared papers)Wwt Lam (2 shared papers)Joseph T. Wu (3 shared papers)Dkm Ip (3 shared papers)Joseph T. F. Lau (1 shared paper)Siân Griffiths (1 shared paper)
- Journals
- Journal of Clinical Oncology (1 paper)JCO Oncology Practice (1 paper)PLoS ONE (1 paper)American Journal of Epidemiology (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- United StatesHong KongUganda
In The Last Decade
Diane Ng
16 papers receiving 472 citations
Peers
Comparison fields: 5 of 68
- Modeling and Simulation 75
- Clinical Psychology 210
- Applied Psychology 45
- Health 31
- Social Psychology 54
Countries citing papers authored by Diane Ng
This map shows the geographic impact of Diane Ng'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 Diane Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Ng more than expected).
Fields of papers citing papers by Diane Ng
This network shows the impact of papers produced by Diane Ng. 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 Diane Ng. The network helps show where Diane Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane Ng, 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 | 2010 | 219 | |
| 2 | 2014 | 161 | |
| 3 | 2017 | 34 | |
| 4 | 2011 | 17 | |
| 5 | 2014 | 13 | |
| 6 | 2011 | 10 | |
| 7 | 2022 | 9 | |
| 8 | Assessment of Interstate Residential Mobility of SEER Patients: SEER and LexisNexis Residential Address Linkage. | 2022 | 5 |
| 9 | 2022 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 1 | |
| 16 | Rationale and Methodologic Approach for Assessing Ovarian Cancer Treatment and Gynecologic Oncologist Involvement in the Midwest Region of the United States. | 2023 | 1 |
About Diane Ng
Diane Ng is a scholar working on Oncology, Epidemiology, General Health Professions, Economics and Econometrics and Modeling and Simulation, having authored 16 papers that have together received 487 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (4 papers), Cancer survivorship and care (3 papers), Influenza Virus Research Studies (3 papers), Colorectal Cancer Screening and Detection (3 papers), COVID-19 epidemiological studies (2 papers), Economic and Financial Impacts of Cancer (2 papers), Multiple and Secondary Primary Cancers (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Modeling and Simulation (75 citations), Clinical Psychology (210 citations), Applied Psychology (45 citations), Health (31 citations) and Social Psychology (54 citations). Diane Ng has collaborated with scholars based in United States, Hong Kong and Uganda. Frequent co-authors include Benjamin J. Cowling, Richard Fielding, Qiuyan Liao, Wwt Lam, Joseph T. Wu, Dkm Ip, Joseph T. F. Lau, Siân Griffiths, Xiaoxiao Lu and Daisy Le. Their work appears in journals such as Journal of Clinical Oncology, JCO Oncology Practice, PLoS ONE, American Journal of Epidemiology and BMC Infectious Diseases.
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.