Julia M. Green-Johnson

2.2k citations
50 papers · 1.7k indexed · h-index 18
Topics
Probiotics and Fermented Foods (20 papers)Gut microbiota and health (15 papers)Exercise and Physiological Responses (8 papers)
Partner nations
CanadaChinaUnited States

In The Last Decade

Julia M. Green-Johnson

49 papers receiving 1.7k citations

Peers

Julia M. Green-Johnson
Comparison fields: 5 of 117
  • Molecular Biology 682
  • Food Science 524
  • Nutrition and Dietetics 383
  • Biological Psychiatry 259
  • Physiology 250
Replace Kan Gao with:
Kan Gao China
Anders Bergström Denmark
Julien Planchais France
Annunziata Scirocco Italy
Andrew M. Stanisz Canada
Joshua M. Lyte United States
Boushra Dalile Belgium
Alexander Viardot Australia
M.H. Perdue Canada
Julia M. Green-Johnson relative to Kan Gao China Kan Gao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Julia M. Green-Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Julia M. Green-Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia M. Green-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 Julia M. Green-Johnson. The network helps show where Julia M. Green-Johnson may publish in the future.

Co-authorship network of co-authors of Julia M. Green-Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Julia M. Green-Johnson. A scholar is included among the top collaborators of Julia M. Green-Johnson 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 Julia M. Green-Johnson. Julia M. Green-Johnson 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 5
2 1
3 1
4 4
5 5
6 61
7 13
8 14
9 2
10 9
11 81
12 7
13 56
14 16
15 74
16 59
17 23
18 33
19 8
20 13

About Julia M. Green-Johnson

Julia M. Green-Johnson is a scholar working on Rehabilitation, Food Science and Behavioral Neuroscience, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (20 papers), Gut microbiota and health (15 papers) and Exercise and Physiological Responses (8 papers). The work is most often cited by research in Biological Psychiatry (259 citations), Behavioral Neuroscience (222 citations) and Food Science (524 citations). Julia M. Green-Johnson has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Nicole Buckley, Steve Zalcman, Dwight M. Nance, Arnold H. Greenberg, Linda Murray, Claude P. Champagne, Dennis G. Dyck, Hymie Anisman, Qiuye Lin and Zhenhui Cao. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

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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