Maria S. Johnson
- Physiology top 2%
- Ecology top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Co-authors
- John R. SpeakmanElżbieta KrólSusan C. ThomsonMichael I. GoranTim R. NagyTerry T.‐K. HuangMartin D. BrandJane S. McLaren
- Topics
- Adipose Tissue and Metabolism (18 papers)Obesity, Physical Activity, Diet (9 papers)Body Composition Measurement Techniques (8 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Maria S. Johnson
49 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Physiology 1.2k
- Ecology 635
- Ecology, Evolution, Behavior and Systematics 519
- Public Health, Environmental and Occupational Health 446
- Molecular Biology 408
Countries citing papers authored by Maria S. Johnson
This map shows the geographic impact of Maria S. 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 Maria S. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria S. Johnson more than expected).
Fields of papers citing papers by Maria S. Johnson
This network shows the impact of papers produced by Maria S. 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 Maria S. Johnson. The network helps show where Maria S. Johnson may publish in the future.
Co-authorship network of co-authors of Maria S. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Maria S. Johnson. A scholar is included among the top collaborators of Maria S. 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 Maria S. Johnson. Maria S. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 73 | |
| 4 | 12 | |
| 5 | 47 | |
| 6 | 63 | |
| 7 | 24 | |
| 8 | 45 | |
| 9 | 11 | |
| 10 | 61 | |
| 11 | 28 | |
| 12 | Uncoupled and surviving: individual mice with high metabolism have greater mitochondrial uncoupling and live longerbreakdown → | 646 |
| 13 | 201 | |
| 14 | 26 | |
| 15 | 115 | |
| 16 | 31 | |
| 17 | 55 | |
| 18 | 146 | |
| 19 | 18 | |
| 20 | 10 |
About Maria S. Johnson
Maria S. Johnson is a scholar working on Endocrine and Autonomic Systems, Physiology and Aging, having authored 49 papers that have together received 3.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Obesity, Physical Activity, Diet (9 papers) and Body Composition Measurement Techniques (8 papers). The work is most often cited by research in Aging (258 citations), Endocrine and Autonomic Systems (355 citations) and Physiology (1.2k citations). Maria S. Johnson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include John R. Speakman, Elżbieta Król, Susan C. Thomson, Michael I. Goran, Tim R. Nagy, John R. Speakman, Terry T.‐K. Huang, Martin D. Brand, Jane S. McLaren and Diane M. Jackson. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and PEDIATRICS.
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.