C. Raina MacIntyre

27.1k citations
563 papers · 16.0k indexed · 7 hit papers · h-index 61

Impact in

Papers in

C. Raina MacIntyre

539 papers receiving 15.4k citations

Hit Papers

Artificial intelligence in public health: the potential of epidemic early warning systems 2023 · 64 citations
642013202620172021100200300400

Peers

C. Raina MacIntyre
Comparison fields: 5 of 204
  • Modeling and Simulation 2.6k
  • Health 2.3k
  • Infectious Diseases 4.2k
  • General Dentistry 331
  • Epidemiology 5.6k
Replace Ziad A. Memish with:
Ziad A. Memish Saudi Arabia
Dominique Heymann France
Paul K.S. Chan Hong Kong
Benjamin J. Cowling Hong Kong
Jaffar A. Al‐Tawfiq Saudi Arabia
Wenjie Tan China
George F. Gao China
Kwok‐Hung Chan Hong Kong
Leo L. M. Poon Hong Kong
Allen Cheng Australia
C. Raina MacIntyre relative to Ziad A. Memish Saudi Arabia Ziad A. Memish's profile →
Citations per field
00.5×1.5×
Ziad A. Memish · 1×
Citations per year

Countries citing papers authored by C. Raina MacIntyre

Since Specialization
Citations

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

Fields of papers citing papers by C. Raina MacIntyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Raina MacIntyre. 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 C. Raina MacIntyre. The network helps show where C. Raina MacIntyre may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20242
3 20241
4 20249
5 20233
6 20231
7 20234
8 20230
9 20228
10 20223
11 20218
12 202127
13 202151
14 202067
15 20201
16 202041
17 20202
18 201723
19 201677
20 20073

About C. Raina MacIntyre

C. Raina MacIntyre is a scholar working on Modeling and Simulation, Health, Infectious Diseases, Epidemiology and Microbiology, having authored 563 papers that have together received 16.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (149 papers), COVID-19 epidemiological studies (110 papers), Vaccine Coverage and Hesitancy (102 papers), Infection Control and Ventilation (80 papers), Viral Infections and Outbreaks Research (66 papers), Respiratory viral infections research (53 papers), Pneumonia and Respiratory Infections (49 papers) and COVID-19 and healthcare impacts (47 papers). The work is most often cited by research in Modeling and Simulation (2.6k citations), Health (2.3k citations), Infectious Diseases (4.2k citations), General Dentistry (331 citations) and Epidemiology (5.6k citations). C. Raina MacIntyre has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Abrar Ahmad Chughtai, Holly Seale, James Wood, Anita Heywood, Peter McIntyre, Quanyi Wang, Anthony T. Newall, Dominic E. Dwyer, Iman Ridda and Valentina Costantino. Their work appears in journals such as Vaccine, The Medical Journal of Australia, Epidemiology and Infection, International Journal of Infectious Diseases and Influenza and Other Respiratory Viruses.

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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2026