Graham Moon

6.3k total citations · 1 hit paper
130 papers, 4.5k citations indexed

About

Graham Moon is a scholar working on General Health Professions, Health and Sociology and Political Science. According to data from OpenAlex, Graham Moon has authored 130 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in General Health Professions, 52 papers in Health and 27 papers in Sociology and Political Science. Recurrent topics in Graham Moon's work include Health disparities and outcomes (49 papers), Urban, Neighborhood, and Segregation Studies (16 papers) and Global Health Care Issues (12 papers). Graham Moon is often cited by papers focused on Health disparities and outcomes (49 papers), Urban, Neighborhood, and Segregation Studies (16 papers) and Global Health Care Issues (12 papers). Graham Moon collaborates with scholars based in United Kingdom, New Zealand and Canada. Graham Moon's co-authors include Kelvyn Jones, Craig Duncan, Robin Kearns, Janis Baird, Christina Black, Liz Twigg, Jamie Pearce, Ross Barnett, Rob Atkinson and Tim Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Social Science & Medicine.

In The Last Decade

Graham Moon

125 papers receiving 4.1k citations

Hit Papers

Context, composition and heterogeneity: Using multilevel ... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers

Graham Moon
Comparison fields: 5 of 167
  • General Health Professions 1.6k
  • Health 1.6k
  • Sociology and Political Science 903
  • Public Health, Environmental and Occupational Health 790
  • Transportation 492
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Citations per field, relative to Graham Moon
Graham Moon · 1×
Citations per year, relative to Graham Moon
Graham Moon · 1×

Countries citing papers authored by Graham Moon

Since Specialization
Citations

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

Fields of papers citing papers by Graham Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Moon. A scholar is included among the top collaborators of Graham Moon 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 Graham Moon. Graham Moon 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 1
2 1
3 5
4 30
5 2
6 6
7 8
8
The afterlives of the psychiatric asylum: the recycling of concepts, sites and memories
12
9 25
10 7
11 12
12 19
13 5
14 25
15 66
16
Context, composition and heterogeneity: Using multilevel models in health research breakdown →
525
17 226
18
A multi-level model approach to immunisation uptake
9
19 43
20
Health, disease and society: an introduction to medical geographycontinued.
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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