Jolene Johnson

1.6k citations
43 papers · 1.2k · h-index 24

Impact in

Papers in

Jolene Johnson

40 papers receiving 1.2k citations

Peers

Jolene Johnson
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 295
  • Obstetrics and Gynecology 74
  • Microbiology 7
  • Cardiology and Cardiovascular Medicine 138
  • Biophysics 39
Replace Michael J. Zinaman with:
Michael J. Zinaman United States
Nicholas Aderinto Nigeria
Peter G.A. Hompes Netherlands
Stephen Farish Australia
Judith Adams United States
Torbjörn Bergh Sweden
Elizabeth Young United Kingdom
Tomohiro Nakamura Japan
Andreas Mueller Germany
Nancy A. Klein United States
Jolene Johnson relative to Michael J. Zinaman United States Michael J. Zinaman's profile →
Citations per field
00.5×5.6×
Michael J. Zinaman · 1×
Citations per year

Countries citing papers authored by Jolene Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Jolene Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007127
2 201478
3 200568
4 201564
5 200354
6 201353
7 201252
8 201447
9 201146
10 201543
11 201342
12 201038
13 201337
14 201336
15 201435
16 201333
17 201032
18 199230
19 201130
20 201130

About Jolene Johnson

Jolene Johnson is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Biophysics and Cell Biology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (5 papers), Advanced Fluorescence Microscopy Techniques (5 papers), T-cell and Retrovirus Studies (4 papers), Diabetes Management and Education (3 papers), Animal Disease Management and Epidemiology (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Management and Research (2 papers) and Gestational Diabetes Research and Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (295 citations), Obstetrics and Gynecology (74 citations), Microbiology (7 citations), Cardiology and Cardiovascular Medicine (138 citations) and Biophysics (39 citations). Jolene Johnson has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ronald Horswell, Gang Hu, Peter T. Katzmarzyk, Wenhui Zhao, Donna H. Ryan, Yujie Wang, Joachim D. Mueller, William T. Cefalu, Yujie Wang and Ke Xiao. Their work appears in journals such as Diabetes Care, Biophysical Journal, The Journal of Clinical Endocrinology & Metabolism, International Journal of Cardiology and Retrovirology.

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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