Campbell Aitken

5.3k total citations
132 papers, 3.8k citations indexed

About

Campbell Aitken is a scholar working on Epidemiology, Hepatology and General Health Professions. According to data from OpenAlex, Campbell Aitken has authored 132 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Epidemiology, 42 papers in Hepatology and 29 papers in General Health Professions. Recurrent topics in Campbell Aitken's work include HIV, Drug Use, Sexual Risk (63 papers), Hepatitis C virus research (40 papers) and Opioid Use Disorder Treatment (26 papers). Campbell Aitken is often cited by papers focused on HIV, Drug Use, Sexual Risk (63 papers), Hepatitis C virus research (40 papers) and Opioid Use Disorder Treatment (26 papers). Campbell Aitken collaborates with scholars based in Australia, United States and United Kingdom. Campbell Aitken's co-authors include Margaret Hellard, Jane S. Hocking, Megan S. C. Lim, Nick Crofts, Peter Higgs, Michael Kerger, Paul Dietze, David Moore, John Kaldor and Mark Stoové and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Hepatology.

In The Last Decade

Campbell Aitken

131 papers receiving 3.6k citations

Peers

Campbell Aitken
Comparison fields: 5 of 166
  • Epidemiology 2.1k
  • Hepatology 1.0k
  • General Health Professions 949
  • Public Health, Environmental and Occupational Health 694
  • Infectious Diseases 681
Replace Hannah L. F. Cooper with:
Hannah L. F. Cooper United States
Adrian Renton United Kingdom
Sarah J. Clark United States
Jean Shoveller Canada
George B. Schreiber United States
Laurence Gruer United Kingdom
Sanni Yaya Canada
Emil Kupek Brazil
Cathy Banwell Australia
Hoosen Coovadia South Africa
Hannah L. F. Cooper United States View profile →
Citations per field, relative to Campbell Aitken
Campbell Aitken · 1×
Citations per year, relative to Campbell Aitken
Campbell Aitken · 1×

Countries citing papers authored by Campbell Aitken

Since Specialization
Citations

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

Fields of papers citing papers by Campbell Aitken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Campbell Aitken

This figure shows the co-authorship network connecting the top 25 collaborators of Campbell Aitken. A scholar is included among the top collaborators of Campbell Aitken based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Campbell Aitken. Campbell Aitken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 10
3 16
4 54
5 12
6 31
7 1
8 153
9 19
10
Does Information about IDUs' Injecting Networks Predict Exposure to the Hepatitis C Virus?
13
11 5
12 105
13 69
14 21
15 15
16
Hepatitis C Virus and Body Piercing
0
17 228
18 53
19 10
20 1

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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