Lisa M. Larkin

4.1k total citations · 1 hit paper
79 papers, 3.1k citations indexed

About

Lisa M. Larkin is a scholar working on Surgery, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Lisa M. Larkin has authored 79 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Surgery, 45 papers in Molecular Biology and 22 papers in Biomedical Engineering. Recurrent topics in Lisa M. Larkin's work include Muscle Physiology and Disorders (40 papers), Tissue Engineering and Regenerative Medicine (29 papers) and Knee injuries and reconstruction techniques (9 papers). Lisa M. Larkin is often cited by papers focused on Muscle Physiology and Disorders (40 papers), Tissue Engineering and Regenerative Medicine (29 papers) and Knee injuries and reconstruction techniques (9 papers). Lisa M. Larkin collaborates with scholars based in United States, United Kingdom and France. Lisa M. Larkin's co-authors include Susan V. Brooks, John A. Faulkner, Dennis R. Claflin, Ellen M. Arruda, Robert G. Dennis, Tatiana Y. Kostrominova, Holly Van Remmen, Brian C. Syverud, Arlan Richardson and Keith Baar and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and The FASEB Journal.

In The Last Decade

Lisa M. Larkin

79 papers receiving 3.0k citations

Hit Papers

AGE‐RELATED CHANGES IN THE STRUCTURE AND FUNCTION OF SKEL... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

Lisa M. Larkin
Richard M. Lovering United States
Sarah M. Greising United States
Wendy King United States
Stanley Salmons United Kingdom
Martin K. Childers United States
Richard M. Lovering United States
Lisa M. Larkin
Citations per year, relative to Lisa M. Larkin Lisa M. Larkin (= 1×) peers Richard M. Lovering

Countries citing papers authored by Lisa M. Larkin

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Larkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa M. Larkin

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Larkin. A scholar is included among the top collaborators of Lisa M. Larkin 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 Lisa M. Larkin. Lisa M. Larkin 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.
Nguyen, Matthew, et al.. (2024). Impact of Passaging Primary Skeletal Muscle Cell Isolates on the Engineering of Skeletal Muscle. Tissue Engineering Part A. 31(7-8). 315–324. 1 indexed citations
2.
Nunez, C., et al.. (2023). Engineered Tissue Graft for Repair of Injured Infraspinatus Rotator Cuff Tendon. Tissue Engineering Part A. 29(17-18). 471–480. 3 indexed citations
3.
Loebel, Claudia, et al.. (2023). Repairing Volumetric Muscle Loss with Commercially Available Hydrogels in an Ovine Model. Tissue Engineering Part A. 30(9-10). 440–453. 3 indexed citations
4.
Nguyen, Matthew, et al.. (2023). Impact of Human Recombinant Irisin on Tissue-Engineered Skeletal Muscle Structure and Function. Tissue Engineering Part A. 30(1-2). 94–101. 2 indexed citations
5.
Nguyen, Matthew, et al.. (2021). Impact of Cell Seeding Density and Cell Confluence on Human Tissue Engineered Skeletal Muscle. Tissue Engineering Part A. 28(9-10). 420–432. 5 indexed citations
6.
Kennedy, Christopher, et al.. (2020). A tissue engineering approach for repairing craniofacial volumetric muscle loss in a sheep following a 2, 4, and 6-month recovery. PLoS ONE. 15(9). e0239152–e0239152. 16 indexed citations
7.
Nguyen, Matthew, et al.. (2020). Impact of Human Epidermal Growth Factor on Tissue-Engineered Skeletal Muscle Structure and Function. Tissue Engineering Part A. 27(17-18). 1151–1159. 21 indexed citations
8.
VanDusen, Keith W., et al.. (2020). The Effects of Engineered Skeletal Muscle on Volumetric Muscle Loss in the Tibialis Anterior of Rat After 3 Months In Vivo. Regenerative Engineering and Translational Medicine. 6(4). 365–372. 4 indexed citations
9.
Armstrong, Rachel, et al.. (2019). A 30% Volumetric Muscle Loss Does Not Result in Sustained Functional Deficits After a 90-Day Recovery in Rats. Regenerative Engineering and Translational Medicine. 6(1). 62–68. 9 indexed citations
10.
Syverud, Brian C., et al.. (2018). A Transgenic tdTomato Rat for Cell Migration and Tissue Engineering Applications. Tissue Engineering Part C Methods. 24(5). 263–271. 8 indexed citations
11.
Syverud, Brian C., Eric Lin, Sunitha Nagrath, & Lisa M. Larkin. (2017). Label-Free, High-Throughput Purification of Satellite Cells Using Microfluidic Inertial Separation. Tissue Engineering Part C Methods. 24(1). 32–41. 16 indexed citations
12.
Syverud, Brian C., Mary‐Ann Mycek, & Lisa M. Larkin. (2017). Quantitative, Label-Free Evaluation of Tissue-Engineered Skeletal Muscle Through Multiphoton Microscopy. Tissue Engineering Part C Methods. 23(10). 616–626. 14 indexed citations
13.
Urbanchek, Melanie G., Theodore A. Kung, David C. Martin, et al.. (2016). Development of a Regenerative Peripheral Nerve Interface for Control of a Neuroprosthetic Limb. BioMed Research International. 2016. 1–8. 76 indexed citations
14.
Ronan, Elizabeth A., et al.. (2014). Fresh Versus Frozen Engineered Bone–Ligament–Bone Grafts for Sheep Anterior Cruciate Ligament Repair. Tissue Engineering Part C Methods. 21(6). 548–556. 17 indexed citations
15.
Ma, Jinjin, et al.. (2011). Three-Dimensional Engineered Bone–Ligament–Bone Constructs for Anterior Cruciate Ligament Replacement. Tissue Engineering Part A. 18(1-2). 103–116. 71 indexed citations
16.
Kostrominova, Tatiana Y., et al.. (2010). Effect of daptomycin on primary rat muscle cell cultures in vitro. In Vitro Cellular & Developmental Biology - Animal. 46(7). 613–618. 9 indexed citations
17.
Hanes, Michael, Jeffrey Weinzweig, Kip E. Panter, et al.. (2008). The Effect of Cleft Palate Repair on Contractile Properties of Single Permeabilized Muscle Fibers From Congenitally Cleft Goat Palates. Annals of Plastic Surgery. 60(2). 188–193. 9 indexed citations
18.
Faulkner, John A., Lisa M. Larkin, Dennis R. Claflin, & Susan V. Brooks. (2007). AGE‐RELATED CHANGES IN THE STRUCTURE AND FUNCTION OF SKELETAL MUSCLES. Clinical and Experimental Pharmacology and Physiology. 34(11). 1091–1096. 533 indexed citations breakdown →
19.
Huang, Yen‐Chih, Robert G. Dennis, Lisa M. Larkin, & Keith Baar. (2004). Rapid formation of functional muscle in vitro using fibrin gels. Journal of Applied Physiology. 98(2). 706–713. 221 indexed citations
20.
Dennis, Robert G., et al.. (2003). GLUCOSE TRANSPORTER CONTENT AND GLUCOSE UPTAKE IN SKELETAL MUSCLE CONSTRUCTS ENGINEERED IN VITRO. In Vitro Cellular & Developmental Biology - Animal. 39(10). 434–434. 16 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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