Michael T. Fitch
- Cellular and Molecular Neuroscience top 0.5%
- Pathology and Forensic Medicine top 1%
- Developmental Neuroscience top 0.2%
- Molecular Biology top 10%
- Surgery top 10%
- Co-authors
- Jerry SilverGary E. LandrethCatherine DollerColin K. CombsA HallStephen J. DaviesGeoffrey RaismanDiederik van de Beek
- Topics
- Innovations in Medical Education (15 papers)Simulation-Based Education in Healthcare (8 papers)Clinical Reasoning and Diagnostic Skills (7 papers)
- Cited by
- Developmental NeuroscienceCellular and Molecular NeurosciencePathology and Forensic Medicine
- Partner nations
- United StatesNetherlands
In The Last Decade
Michael T. Fitch
42 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cellular and Molecular Neuroscience 1.9k
- Pathology and Forensic Medicine 1.1k
- Developmental Neuroscience 1.0k
- Molecular Biology 761
- Surgery 523
Countries citing papers authored by Michael T. Fitch
This map shows the geographic impact of Michael T. Fitch'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 Michael T. Fitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Fitch more than expected).
Fields of papers citing papers by Michael T. Fitch
This network shows the impact of papers produced by Michael T. Fitch. 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 Michael T. Fitch. The network helps show where Michael T. Fitch may publish in the future.
Co-authorship network of co-authors of Michael T. Fitch
This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Fitch. A scholar is included among the top collaborators of Michael T. Fitch 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 Michael T. Fitch. Michael T. Fitch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 138 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 18 | |
| 5 | 25 | |
| 6 | 115 | |
| 7 | 90 | |
| 8 | 6 | |
| 9 | 111 | |
| 10 | 49 | |
| 11 | 13 | |
| 12 | 10 | |
| 13 | 30 | |
| 14 | 10 | |
| 15 | 39 | |
| 16 | CNS injury, glial scars, and inflammation: Inhibitory extracellular matrices and regeneration failurebreakdown → | 798 |
| 17 | 1 | |
| 18 | Regeneration of adult axons in white matter tracts of the central nervous systembreakdown → | 636 |
| 19 | 199 | |
| 20 | 14 |
About Michael T. Fitch
Michael T. Fitch is a scholar working on Family Practice, Leadership and Management and Public Health, Environmental and Occupational Health, having authored 43 papers that have together received 3.9k indexed citations. Recurring topics across this work include Innovations in Medical Education (15 papers), Simulation-Based Education in Healthcare (8 papers) and Clinical Reasoning and Diagnostic Skills (7 papers). The work is most often cited by research in Developmental Neuroscience (1.0k citations), Cellular and Molecular Neuroscience (1.9k citations) and Pathology and Forensic Medicine (1.1k citations). Michael T. Fitch has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Jerry Silver, Gary E. Landreth, Catherine Doller, Colin K. Combs, A Hall, Jerry Silver, Stephen J. Davies, Geoffrey Raisman, Diederik van de Beek and David E. Manthey. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Neuroscience.
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.