Brian T. Freeman

547 citations
10 papers · 431 · h-index 7

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Pluripotent Stem Cells Research 1
    • Mitochondrial Function and Pathology 1
    • Mesenchymal stem cell research 5

Brian T. Freeman

10 papers receiving 428 citations

Peers

Brian T. Freeman
Comparison fields: 5 of 48
  • Genetics 87
  • Biomaterials 105
  • Surgery 206
  • Automotive Engineering 46
  • Biomedical Engineering 160
Replace Ross Fitzsimmons with:
Ross Fitzsimmons Canada
Guo-Shiang Huang Taiwan
Todd Galbraith Canada
Pablo Hofbauer Austria
Melissa A. Kinney United States
Dejie Zhou United States
Amanda F. Assoni Brazil
Rosaria Santoro Italy
Erik Braziulis Switzerland
Travis J. Block United States
Brian T. Freeman relative to Ross Fitzsimmons Canada Ross Fitzsimmons's profile →
Citations per field
00.5×1.5×2.2×
Ross Fitzsimmons · 1×
Citations per year

Countries citing papers authored by Brian T. Freeman

Since Specialization
Citations

This map shows the geographic impact of Brian T. Freeman'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 Brian T. Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Freeman more than expected).

Fields of papers citing papers by Brian T. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian T. Freeman. 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 Brian T. Freeman. The network helps show where Brian T. Freeman may publish in the future.

Co-authors

The 19 scholars most cited alongside Brian T. Freeman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian T. Freeman Line = papers co-authored together Brian T. Freeman links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2017257
2 201562
3 201230
4 201529
5 201618
6 201817
7 201210
8 20165
9 20182
10 20191

About Brian T. Freeman

Brian T. Freeman is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Cancer Research, having authored 10 papers that have together received 431 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cancer Cells and Metastasis (2 papers), 3D Printing in Biomedical Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Pluripotent Stem Cells Research (1 paper), Mitochondrial Function and Pathology (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Genetics (87 citations), Biomaterials (105 citations), Surgery (206 citations), Automotive Engineering (46 citations) and Biomedical Engineering (160 citations). Brian T. Freeman has collaborated with scholars based in United States. Frequent co-authors include Brenda M. Ogle, Jangwook P. Jung, Ling Gao, Yong Da Sie, Visar Ajeti, Vladimir G. Fast, Molly Kupfer, Libang Yang, Paul J. Campagnola and Quyen Tran. Their work appears in journals such as Scientific Reports, The FASEB Journal, APL Bioengineering, Stem Cells Translational Medicine and PLoS ONE.

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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