Katy Bell

6.7k citations
159 papers · 3.6k indexed · 2 hit papers · h-index 29

Katy Bell

147 papers receiving 3.5k citations

Hit Papers

Estimating the extent of asymptomatic COVID-19 ...4162015202620182022100200300400

Peers

Katy Bell
Comparison fields: 5 of 166
  • Modeling and Simulation 284
  • Psychiatry and Mental health 433
  • Oncology 734
  • Neurology 353
  • Endocrinology, Diabetes and Metabolism 373
Replace Derrick Heng with:
Derrick Heng Singapore
Hyeong Sik Ahn South Korea
Joseph T. King United States
Annie Herbert United Kingdom
Farhaan Vahidy United States
Hwee Lin Wee Singapore
Chris Hyde United Kingdom
Joshua F. Baker United States
Krishnarajah Nirantharakumar United Kingdom
Maurizio Ferrario Italy
Katy Bell relative to Derrick Heng Singapore Derrick Heng's profile →
Citations per field
00.5×
Derrick Heng · 1×
Citations per year

Countries citing papers authored by Katy Bell

Since Specialization
Citations

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

Fields of papers citing papers by Katy Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Katy Bell, 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 Katy Bell Line = papers co-authored together Katy Bell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20253
4 20246
5 20246
6 20240
7 20242
8 20232
9 20221
10 20221
11 20223
12 20211
13 20214
14 202024
15 20207
16
COVID-19: how many Australians might have died if we’d had an outbreak like that in England and Wales?
20203
17 20199
18 2019102
19 2019133
20 201711

About Katy Bell

Katy Bell is a scholar working on Family Practice, Oncology, General Health Professions, Economics and Econometrics and Statistics, Probability and Uncertainty, having authored 159 papers that have together received 3.6k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (33 papers), Healthcare cost, quality, practices (21 papers), Global Cancer Incidence and Screening (20 papers), Cutaneous Melanoma Detection and Management (18 papers), Climate Change and Health Impacts (13 papers), Blood Pressure and Hypertension Studies (12 papers), AI in cancer detection (11 papers) and Meta-analysis and systematic reviews (8 papers). The work is most often cited by research in Modeling and Simulation (284 citations), Psychiatry and Mental health (433 citations), Oncology (734 citations), Neurology (353 citations) and Endocrinology, Diabetes and Metabolism (373 citations). Katy Bell has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paul Glasziou, Justin Clark, Alexandra Barratt, Oyungerel Byambasuren, Yaakov Stern, Karen Marder, Magnolia Cardona, Mary‐Louise McLaws, Les Irwig and Andrew Hayen. Their work appears in journals such as The Medical Journal of Australia, BMJ Open, Journal of Clinical Epidemiology, JAMA Dermatology and JAMA Network Open.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026