Natalie Johnson

51 papers receiving 838 citations

Peers

Natalie Johnson
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 181
  • Family Practice 19
  • Applied Psychology 43
  • Cardiology and Cardiovascular Medicine 139
  • Physiology 111
Replace Chun‐Ja Kim with:
Chun‐Ja Kim South Korea
Bjørg Karlsen Norway
Helen Eborall United Kingdom
Rebecca M. Sacks United States
Cristina Arrigoni Italy
Julia A. Dodge United States
Stefania Di Mauro Italy
Paul E. Terry United States
Diego Osuna United States
Turky H. Almigbal Saudi Arabia
Natalie Johnson relative to Chun‐Ja Kim South Korea Chun‐Ja Kim's profile →
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Citations per year

Countries citing papers authored by Natalie Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201993
2 201785
3 201971
4 201669
5 201250
6 199845
7 201041
8 201733
9 200431
10 199830
11 200923
12 199520
13 201318
14 201718
15 201917
16 201016
17
Learning by Doing: The Wagner Plan from Classroom to Career
201015
18 201314
19 202212
20 201412

About Natalie Johnson

Natalie Johnson is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Physiology and Education, having authored 57 papers that have together received 870 indexed citations. Recurring topics across this work include Physical Activity and Health (7 papers), Cardiac Health and Mental Health (7 papers), Substance Abuse Treatment and Outcomes (6 papers), Diabetes Management and Education (6 papers), Online and Blended Learning (2 papers), Global Maternal and Child Health (2 papers), Emergency and Acute Care Studies (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (181 citations), Family Practice (19 citations), Applied Psychology (43 citations), Cardiology and Cardiovascular Medicine (139 citations) and Physiology (111 citations). Natalie Johnson has collaborated with scholars based in Australia, United States and Ghana. Frequent co-authors include Flora Tzelepis, Victor Mogre, Christine Paul, Richard F Heller, Kerry Inder, Erica L. James, Kypros Kypri, Amanda Nagle, Jonathan E. Shaw and John Wiggers. Their work appears in journals such as Drug and Alcohol Dependence, Preventive Medicine, Australian and New Zealand Journal of Public Health, Frontiers in Pediatrics and Drug and Alcohol Review.

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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