Diane Ng

675 citations
16 papers · 484 indexed · h-index 7

Impact in

Papers in

    • COVID-19 epidemiological studies 4
    • Global Cancer Incidence and Screening 5
    • Cancer survivorship and care 3
    • Colorectal Cancer Screening and Detection 3

Diane Ng

16 papers receiving 468 citations

Peers

Diane Ng
Comparison fields: 5 of 73
  • Modeling and Simulation 113
  • Applied Psychology 64
  • Clinical Psychology 248
  • Health 59
  • Social Psychology 69
Replace Benjamin Wachtler with:
Benjamin Wachtler Germany
Lisa Felgendreff Germany
Meredith Hickson United States
Steven Kator Iorfa Nigeria
Pauline Zheng United States
Kelly Holton United States
Junjie Ye China
Gamal Hasan Saudi Arabia
Meiqi Xin Hong Kong
Diane Ng relative to Benjamin Wachtler Germany Benjamin Wachtler's profile →
Citations per field
00.5×
Benjamin Wachtler · 1×
Citations per year

Countries citing papers authored by Diane Ng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Diane Ng Line = papers co-authored together Diane Ng links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20241
2 20242
3
Rationale and Methodologic Approach for Assessing Ovarian Cancer Treatment and Gynecologic Oncologist Involvement in the Midwest Region of the United States.
20231
4 20234
5 20221
6 20224
7
Assessment of Interstate Residential Mobility of SEER Patients: SEER and LexisNexis Residential Address Linkage.
20225
8 20228
9 20213
10 201732
11 20153
12 2014160
13 201413
14 201117
15 201110
16 2010220

About Diane Ng

Diane Ng is a scholar working on Modeling and Simulation, Oncology, Epidemiology, Applied Psychology and Transportation, having authored 16 papers that have together received 484 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Global Cancer Incidence and Screening (5 papers), COVID-19 epidemiological studies (4 papers), Economic and Financial Impacts of Cancer (3 papers), Cancer survivorship and care (3 papers), Colorectal Cancer Screening and Detection (3 papers), Palliative Care and End-of-Life Issues (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (113 citations), Applied Psychology (64 citations), Clinical Psychology (248 citations), Health (59 citations) and Social Psychology (69 citations). Diane Ng has collaborated with scholars based in United States, Hong Kong and India. Frequent co-authors include Benjamin J. Cowling, Richard Fielding, Qiuyan Liao, Wwt Lam, Joseph T. Wu, Dkm Ip, Joseph T. F. Lau, Siân Griffiths, Cheryl L. Holt and Daisy Le. Their work appears in journals such as European Journal of Public Health, Emerging infectious diseases, JCO Oncology Practice, Journal of Clinical Oncology and BMC Health Services Research.

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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