Michael F. Davitt

984 citations
9 papers · 663 indexed · 2 hit papers · h-index 7
Topics
Wound Healing and Treatments (5 papers)Tendon Structure and Treatment (3 papers)Pancreatic and Hepatic Oncology Research (2 papers)
Partner nations
United StatesIndia

In The Last Decade

Michael F. Davitt

8 papers receiving 655 citations

Hit Papers

Preventing Engrailed-1 activation in fibroblasts yields w...202120262022202420212022100200300400

Peers

Michael F. Davitt
Comparison fields: 5 of 76
  • Rehabilitation 343
  • Molecular Biology 169
  • Cell Biology 135
  • Biomaterials 133
  • Dermatology 112
Replace Malini Chinta with:
Malini Chinta United States
Donovan Correa‐Gallegos Germany
Heather E. Talbott United States
Bryan Duoto United States
Pushkar Ramesh Germany
Julin Xie China
Melanie Breetveld Netherlands
Christina Philippeos United Kingdom
Mohammadreza Pakyari Canada
Vivian Lei United States
Michael F. Davitt relative to Malini Chinta United States Malini Chinta's profile →
Citations per field
00.5×1.7×
Malini Chinta · 1×
Citations per year

Countries citing papers authored by Michael F. Davitt

Since Specialization
Citations

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

Fields of papers citing papers by Michael F. Davitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael F. Davitt. 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 F. Davitt. The network helps show where Michael F. Davitt may publish in the future.

Co-authorship network of co-authors of Michael F. Davitt

This figure shows the co-authorship network connecting the top 25 collaborators of Michael F. Davitt. A scholar is included among the top collaborators of Michael F. Davitt 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 F. Davitt. Michael F. Davitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 12
3 22
4
Multi-omic analysis reveals divergent molecular events in scarring and regenerative wound healingbreakdown →
144
5 48
6 4
7 22
8
Preventing Engrailed-1 activation in fibroblasts yields wound regeneration without scarringbreakdown →
404
9 7

About Michael F. Davitt

Michael F. Davitt is a scholar working on Rehabilitation, Orthopedics and Sports Medicine and Cell Biology, having authored 9 papers that have together received 663 indexed citations. Recurring topics across this work include Wound Healing and Treatments (5 papers), Tendon Structure and Treatment (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Rehabilitation (343 citations), Dermatology (112 citations) and Biomaterials (133 citations). Michael F. Davitt has collaborated with scholars based in United States and India. Frequent co-authors include Michael T. Longaker, Geoffrey C. Gurtner, Shamik Mascharak, Derrick C. Wan, Kellen Chen, Michael Januszyk, Deshka S. Foster, Michelle Griffin, Heather E. desJardins-Park and Malini Chinta. Their work appears in journals such as Science, Cell stem cell and Journal of Heredity.

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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