Brian T. Freeman

538 total citations
10 papers, 428 citations indexed

About

Brian T. Freeman is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Brian T. Freeman has authored 10 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Brian T. Freeman's work include Mesenchymal stem cell research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and 3D Printing in Biomedical Research (3 papers). Brian T. Freeman is often cited by papers focused on Mesenchymal stem cell research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and 3D Printing in Biomedical Research (3 papers). Brian T. Freeman collaborates with scholars based in United States. Brian T. Freeman's co-authors include Brenda M. Ogle, Jangwook P. Jung, Molly Kupfer, Paul J. Campagnola, Libang Yang, Vladimir G. Fast, Jianyi Zhang, Ling Gao, Visar Ajeti and Yong Da Sie and has published in prestigious journals such as PLoS ONE, Circulation Research and Scientific Reports.

In The Last Decade

Brian T. Freeman

10 papers receiving 426 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brian T. Freeman United States	7	220	174	169	116	92	10	428
Pablo Hofbauer Austria	8	260 1.2×	365 2.1×	275 1.6×	108 0.9×	60 0.7×	10	636
Todd Galbraith Canada	10	165 0.8×	137 0.8×	187 1.1×	136 1.2×	37 0.4×	17	444
Marika Milan Italy	9	157 0.7×	218 1.3×	308 1.8×	97 0.8×	19 0.2×	14	537
Maila Chirivì Italy	8	156 0.7×	206 1.2×	311 1.8×	98 0.8×	18 0.2×	12	511
Ross Fitzsimmons Canada	7	103 0.5×	302 1.7×	116 0.7×	65 0.6×	178 1.9×	8	596
Marilyn B. Nourse United States	4	308 1.4×	288 1.7×	180 1.1×	191 1.6×	48 0.5×	4	479
Travis J. Block United States	10	196 0.9×	112 0.6×	99 0.6×	93 0.8×	177 1.9×	13	426
Simone Liebscher Germany	8	208 0.9×	441 2.5×	164 1.0×	42 0.4×	31 0.3×	10	588
George Hung United States	11	315 1.4×	247 1.4×	209 1.2×	214 1.8×	37 0.4×	18	610
Rosaria Santoro Italy	15	194 0.9×	135 0.8×	172 1.0×	140 1.2×	47 0.5×	25	474

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-authorship network of co-authors of Brian T. Freeman

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

All Works

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10 of 10 papers shown

Yuan, Ce, et al.. (2019). Conserved pathway activation following xenogeneic, heterotypic fusion. The FASEB Journal. 33(6). 6767–6777. 1 indexed citations

Ajeti, Visar, et al.. (2018). Developmental Pathways Pervade Stem Cell Responses to Evolving Extracellular Matrices of 3D Bioprinted Microenvironments. Stem Cells International. 2018. 1–15. 2 indexed citations

Jacobs, Gabriël E., et al.. (2018). Breast tumor cell hybrids form spontaneously in vivo and contribute to breast tumor metastases. APL Bioengineering. 2(3). 31907–31907. 17 indexed citations

Gao, Ling, Molly Kupfer, Jangwook P. Jung, et al.. (2017). Myocardial Tissue Engineering With Cells Derived From Human-Induced Pluripotent Stem Cells and a Native-Like, High-Resolution, 3-Dimensionally Printed Scaffold. Circulation Research. 120(8). 1318–1325. 254 indexed citations

Freeman, Brian T. & Brenda M. Ogle. (2016). Viral-mediated fusion of mesenchymal stem cells with cells of the infarcted heart hinders healing via decreased vascularization and immune modulation. Scientific Reports. 6(1). 20283–20283. 5 indexed citations

Freeman, Brian T., Jangwook P. Jung, & Brenda M. Ogle. (2016). Single-cell RNA-seq reveals activation of unique gene groups as a consequence of stem cell-parenchymal cell fusion. Scientific Reports. 6(1). 23270–23270. 18 indexed citations

Freeman, Brian T., Jangwook P. Jung, & Brenda M. Ogle. (2015). Single-Cell RNA-Seq of Bone Marrow-Derived Mesenchymal Stem Cells Reveals Unique Profiles of Lineage Priming. PLoS ONE. 10(9). e0136199–e0136199. 62 indexed citations

Freeman, Brian T., Nicholas A. Kouris, & Brenda M. Ogle. (2015). Tracking Fusion of Human Mesenchymal Stem Cells After Transplantation to the Heart. Stem Cells Translational Medicine. 4(6). 685–694. 29 indexed citations

Sprangers, Anthony J., Brian T. Freeman, Nicholas A. Kouris, & Brenda M. Ogle. (2012). A Cre-Lox P Recombination Approach for the Detection of Cell Fusion <em>In Vivo</em>. Journal of Visualized Experiments. e3581–e3581. 10 indexed citations

10.

Kouris, Nicholas A., Masato Hatta, Brian T. Freeman, et al.. (2012). Directed Fusion of Mesenchymal Stem Cells with Cardiomyocytes via VSV-G Facilitates Stem Cell Programming. Stem Cells International. 2012. 1–13. 30 indexed citations

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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