Greg M. Harris

1.5k total citations
40 papers, 1.1k citations indexed

About

Greg M. Harris is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Surgery. According to data from OpenAlex, Greg M. Harris has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 14 papers in Biomedical Engineering and 13 papers in Surgery. Recurrent topics in Greg M. Harris's work include Tissue Engineering and Regenerative Medicine (11 papers), Nerve injury and regeneration (11 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). Greg M. Harris is often cited by papers focused on Tissue Engineering and Regenerative Medicine (11 papers), Nerve injury and regeneration (11 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). Greg M. Harris collaborates with scholars based in United States, Australia and Austria. Greg M. Harris's co-authors include Ehsan Jabbarzadeh, Jean E. Schwarzbauer, Qingsu Cheng, Michelle C. Carlson, Linda P. Fried, Vijay R. Varma, Irene Raitman, Joo‐Youp Lee, Marilyn Albert and Angela W. Eke and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Greg M. Harris

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg M. Harris United States 18 310 303 228 184 148 40 1.1k
Fabrice Lalloué France 26 538 1.7× 436 1.4× 69 0.3× 241 1.3× 137 0.9× 75 1.9k
Wen Zeng China 22 432 1.4× 296 1.0× 365 1.6× 63 0.3× 312 2.1× 59 1.5k
Kazuhiko Abe Japan 20 334 1.1× 350 1.2× 485 2.1× 186 1.0× 502 3.4× 80 1.8k
Jennifer Walker United States 17 134 0.4× 284 0.9× 370 1.6× 139 0.8× 78 0.5× 31 1.2k
Tamara Weiss Austria 23 417 1.3× 61 0.2× 108 0.5× 230 1.3× 50 0.3× 45 1.9k
Karen E. Yates United States 20 377 1.2× 85 0.3× 107 0.5× 63 0.3× 137 0.9× 45 1.4k
Bhaskar Roy United States 28 903 2.9× 124 0.4× 74 0.3× 140 0.8× 157 1.1× 138 2.4k
Richard Webb United Kingdom 14 257 0.8× 267 0.9× 131 0.6× 87 0.5× 148 1.0× 64 1.0k
Marcos F. DosSantos Brazil 20 342 1.1× 129 0.4× 48 0.2× 159 0.9× 66 0.4× 43 1.7k
S. Browne Ireland 27 268 0.9× 357 1.2× 427 1.9× 82 0.4× 284 1.9× 60 2.1k

Countries citing papers authored by Greg M. Harris

Since Specialization
Citations

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

Fields of papers citing papers by Greg M. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg M. Harris. 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 Greg M. Harris. The network helps show where Greg M. Harris may publish in the future.

Co-authorship network of co-authors of Greg M. Harris

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

All Works

20 of 20 papers shown
1.
Ahmed, Isteaque, et al.. (2025). 3D-Printed Stent-Like Polymeric Structures with Tunable Mechanical Properties and Ionic Conductivity for Reinforced Nerve Guidance Conduits. ACS Biomaterials Science & Engineering. 11(11). 6621–6632.
2.
Poling, Holly M., Kathryn A. Wikenheiser‐Brokamp, Takanori Takebe, et al.. (2025). Thermal Annealing Enhances Piezoelectricity and Regenerative Potential of PVDF‐TrFE Nanofiber Scaffolds. Advanced Materials Technologies. 10(21).
3.
Harris, Greg M., et al.. (2024). Dynamically changing extracellular matrix stiffness drives Schwann cell phenotype. SHILAP Revista de lepidopterología. 25. 100167–100167. 2 indexed citations
4.
Esfandiari, Leyla, et al.. (2023). Innervation of an Ultrasound-Mediated PVDF-TrFE Scaffold for Skin-Tissue Engineering. Biomimetics. 9(1). 2–2. 9 indexed citations
5.
Esfandiari, Leyla, et al.. (2023). Ultrasound-Activated Piezoelectric Polyvinylidene Fluoride–Trifluoroethylene Scaffolds for Tissue Engineering Applications. Military Medicine. 188(Supplement_6). 61–66. 4 indexed citations
6.
Harris, Greg M., et al.. (2022). The impact of physical, biochemical, and electrical signaling on Schwann cell plasticity. European Journal of Cell Biology. 101(4). 151277–151277. 12 indexed citations
7.
Harris, Greg M., et al.. (2020). Preparation of Tunable Extracellular Matrix Microenvironments to Evaluate Schwann Cell Phenotype Specification. Journal of Visualized Experiments. 4 indexed citations
8.
Madigan, Nicolas N., et al.. (2020). Micropatterning Decellularized ECM as a Bioactive Surface to Guide Cell Alignment, Proliferation, and Migration. Bioengineering. 7(3). 102–102. 14 indexed citations
9.
Harris, Greg M., Irene Raitman, & Jean E. Schwarzbauer. (2017). Cell-derived decellularized extracellular matrices. Methods in cell biology. 143. 97–114. 59 indexed citations
10.
Harris, Greg M., Nicolas N. Madigan, Karen Z. Lancaster, et al.. (2016). Nerve Guidance by a Decellularized Fibroblast Extracellular Matrix. Matrix Biology. 60-61. 176–189. 56 indexed citations
11.
Varma, Vijay R., Erwin J. Tan, Alden L. Gross, et al.. (2015). Effect of Community Volunteering on Physical Activity. American Journal of Preventive Medicine. 50(1). 106–110. 67 indexed citations
12.
Harris, Greg M., et al.. (2015). Predicting Marathon Time Using Exhaustive Graded Exercise Test in Marathon Runners. The Journal of Strength and Conditioning Research. 30(2). 512–517. 7 indexed citations
13.
14.
Cheng, Qingsu, et al.. (2014). Enhanced Differentiation of Human Embryonic Stem Cells on Extracellular Matrix-Containing Osteomimetic Scaffolds for Bone Tissue Engineering. Tissue Engineering Part C Methods. 20(11). 865–874. 26 indexed citations
15.
Pryzhkova, Marina V., Adrianus Indrat Aria, Qingsu Cheng, et al.. (2014). Carbon nanotube-based substrates for modulation of human pluripotent stem cell fate. Biomaterials. 35(19). 5098–5109. 31 indexed citations
16.
Harris, Greg M., Tarek Shazly, & Ehsan Jabbarzadeh. (2013). Deciphering the Combinatorial Roles of Geometric, Mechanical, and Adhesion Cues in Regulation of Cell Spreading. PLoS ONE. 8(11). e81113–e81113. 12 indexed citations
17.
Pryzhkova, Marina V., et al.. (2013). Patterning Pluripotent Stem Cells at a Single Cell Level. Journal of Biomaterials and Tissue Engineering. 3(4). 461–471. 2 indexed citations
18.
Cheng, Qingsu, et al.. (2013). PLGA-Carbon Nanotube Conjugates for Intercellular Delivery of Caspase-3 into Osteosarcoma Cells. PLoS ONE. 8(12). e81947–e81947. 35 indexed citations
19.
Mielke, Michelle M., Veera Vankata Ratnam Bandaru, Norman J. Haughey, et al.. (2012). Serum ceramides increase the risk of Alzheimer disease. Neurology. 79(7). 633–641. 172 indexed citations
20.
Harris, Greg M.. (2002). HYPERTENSIVE ENDOCRINE DISORDERS. 4(3). 585–601. 2 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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