Mary F. Johnson
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Nutrition and Dietetics top 10%
- Physiology
- Co-authors
- John SalonKelli E. SmithQuanrong ShenMargaret M. DurkinThomas M. LazKelley L. MorseDhanapalan NagarathnamCheng Tang
- Topics
- Statistical Methods in Clinical Trials (5 papers)Blood Pressure and Hypertension Studies (3 papers)Optimal Experimental Design Methods (3 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Mary F. Johnson
25 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 692
- Molecular Biology 655
- Cognitive Neuroscience 155
- Nutrition and Dietetics 134
- Physiology 106
Countries citing papers authored by Mary F. Johnson
This map shows the geographic impact of Mary F. 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 Mary F. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary F. Johnson more than expected).
Fields of papers citing papers by Mary F. Johnson
This network shows the impact of papers produced by Mary F. 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 Mary F. Johnson. The network helps show where Mary F. Johnson may publish in the future.
Co-authorship network of co-authors of Mary F. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Mary F. Johnson. A scholar is included among the top collaborators of Mary F. 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 Mary F. Johnson. Mary F. 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 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | 14 | |
| 7 | 58 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 61 | |
| 12 | GABAB receptors function as a heteromeric assembly of the subunits GABABR1 and GABABR2breakdown → | 889 |
| 13 | 50 | |
| 14 | 78 | |
| 15 | 14 | |
| 16 | 52 | |
| 17 | 17 | |
| 18 | 7 | |
| 19 | Pregnancy and the syndrome of herniated lumbar intervertebral disc; an epidemiological study. | 27 |
| 20 | 5 |
About Mary F. Johnson
Mary F. Johnson is a scholar working on General Psychology, Statistics and Probability and Gastroenterology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Blood Pressure and Hypertension Studies (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (692 citations), Sensory Systems (75 citations) and Periodontics (53 citations). Mary F. Johnson has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include John Salon, Kelli E. Smith, Quanrong Shen, Margaret M. Durkin, Thomas M. Laz, Kelley L. Morse, Dhanapalan Nagarathnam, Cheng Tang, Stewart A. Noble and Theresa A. Branchek. Their work appears in journals such as Nature, Gastroenterology and The American Journal of Cardiology.
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.