Mark W. Johnson
- Pediatrics, Perinatology and Child Health top 10%
- Cognitive Neuroscience top 10%
- Endocrine and Autonomic Systems top 10%
- Pulmonary and Respiratory Medicine
- Cellular and Molecular Neuroscience
- Co-authors
- Mark S. ScherKenneth A. LoparoDiane Holditch‐DavisJohn TurnbullJonah J. Scott-McKeanAlberto C. S. CostaSusan LudingtonBruna Lancia Zampieri
- Topics
- Neonatal and fetal brain pathology (4 papers)Neuroscience of respiration and sleep (4 papers)Down syndrome and intellectual disability research (3 papers)
- Cited by
- Endocrine and Autonomic SystemsPediatrics, Perinatology and Child HealthCognitive Neuroscience
- Journals
- Journal of NeuroscienceThe Journal of Clinical Endocrinology & MetabolismThe Journal of Pediatrics
- Partner nations
- United StatesBrazil
In The Last Decade
Mark W. Johnson
13 papers receiving 321 citations
Peers
Comparison fields: 5 of 61
- Pediatrics, Perinatology and Child Health 173
- Cognitive Neuroscience 135
- Endocrine and Autonomic Systems 84
- Pulmonary and Respiratory Medicine 67
- Cellular and Molecular Neuroscience 45
Countries citing papers authored by Mark W. Johnson
This map shows the geographic impact of Mark W. 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 Mark W. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark W. Johnson more than expected).
Fields of papers citing papers by Mark W. Johnson
This network shows the impact of papers produced by Mark W. 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 Mark W. Johnson. The network helps show where Mark W. Johnson may publish in the future.
Co-authorship network of co-authors of Mark W. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Mark W. Johnson. A scholar is included among the top collaborators of Mark W. 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 Mark W. Johnson. Mark W. 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 | 4 | |
| 2 | 5 | |
| 3 | 16 | |
| 4 | 27 | |
| 5 | 42 | |
| 6 | 29 | |
| 7 | 76 | |
| 8 | 30 | |
| 9 | Prediction of neonatal state and maturational change using dimensional analysis. | 37 |
| 10 | 20 | |
| 11 | 31 | |
| 12 | 6 | |
| 13 | 11 |
About Mark W. Johnson
Mark W. Johnson is a scholar working on Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 13 papers that have together received 334 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (4 papers), Neuroscience of respiration and sleep (4 papers) and Down syndrome and intellectual disability research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (84 citations), Pediatrics, Perinatology and Child Health (173 citations) and Cognitive Neuroscience (135 citations). Mark W. Johnson has collaborated with scholars based in United States and Brazil. Frequent co-authors include Mark S. Scher, Kenneth A. Loparo, Diane Holditch‐Davis, John Turnbull, Jonah J. Scott-McKean, Alberto C. S. Costa, Susan Ludington, Bruna Lancia Zampieri, Elinor M. Zorn and Liisa Lehtonen. Their work appears in journals such as Journal of Neuroscience, The Journal of Clinical Endocrinology & Metabolism and The Journal of 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.