Rachel Savage

1.7k citations
59 papers · 940 indexed · h-index 17
Topics
Health disparities and outcomes (15 papers)Health, psychology, and well-being (7 papers)Data-Driven Disease Surveillance (7 papers)
Partner nations
CanadaUnited StatesItaly

In The Last Decade

Rachel Savage

55 papers receiving 924 citations

Peers

Rachel Savage
Comparison fields: 5 of 118
  • General Health Professions 279
  • Epidemiology 208
  • Health 170
  • Geriatrics and Gerontology 151
  • Economics and Econometrics 107
Replace Ramadan Elkalmi with:
Ramadan Elkalmi Malaysia
Jocelyn Wilder United States
Lisa Pont Australia
Mark Bounthavong United States
Theresa A. Rowe United States
Akram Ahmad Malaysia
Freddy Eric Kitutu Uganda
Kingston Rajiah Malaysia
Helen Sammons United Kingdom
Sibyl Anthierens Belgium
Rachel Savage relative to Ramadan Elkalmi Malaysia Ramadan Elkalmi's profile →
Citations per field
00.5×3.3×
Ramadan Elkalmi · 1×
Citations per year

Countries citing papers authored by Rachel Savage

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Savage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Savage

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Savage. A scholar is included among the top collaborators of Rachel Savage 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 Rachel Savage. Rachel Savage 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
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 1
6 2
7 1
8 2
9 2
10 10
11 8
12 3
13 27
14 11
15 3
16 12
17 3
18 5
19 9
20 68

About Rachel Savage

Rachel Savage is a scholar working on Neuropsychology and Physiological Psychology, Health and Applied Microbiology and Biotechnology, having authored 59 papers that have together received 940 indexed citations. Recurring topics across this work include Health disparities and outcomes (15 papers), Health, psychology, and well-being (7 papers) and Data-Driven Disease Surveillance (7 papers). The work is most often cited by research in Geriatrics and Gerontology (151 citations), Applied Microbiology and Biotechnology (76 citations) and Toxicology (72 citations). Rachel Savage has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Paula A. Rochon, Susan E. Bronskill, Wei Wu, Nathan M. Stall, Andrea Gruneir, Sabrina T. Wong, Ruth Martin‐Misener, Marjorie MacDonald, Ruta Valaitis and Janusz Kaczorowski. Their work appears in journals such as PLoS ONE, PEDIATRICS and Clinical Infectious Diseases.

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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