Madeline C. Cramer

1.6k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Madeline C. Cramer is a scholar working on Surgery, Molecular Biology and Biomaterials. According to data from OpenAlex, Madeline C. Cramer has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 7 papers in Molecular Biology and 5 papers in Biomaterials. Recurrent topics in Madeline C. Cramer's work include Tissue Engineering and Regenerative Medicine (11 papers), Extracellular vesicles in disease (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Madeline C. Cramer is often cited by papers focused on Tissue Engineering and Regenerative Medicine (11 papers), Extracellular vesicles in disease (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Madeline C. Cramer collaborates with scholars based in United States, United Kingdom and Russia. Madeline C. Cramer's co-authors include Stephen F. Badylak, Lisa J. White, Lindsey T. Saldin, Sachin Velankar, Jenna L. Dziki, George S. Hussey, Christopher J. Bettinger, Joseph Bartolacci, Brian M. Sicari and Michelle E. Scarritt and has published in prestigious journals such as Science Advances, Acta Biomaterialia and Journal of Biomedical Materials Research Part A.

In The Last Decade

Madeline C. Cramer

16 papers receiving 1.2k citations

Hit Papers

Extracellular matrix hydrogels from decellularized tissue... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madeline C. Cramer United States 11 784 653 509 245 87 16 1.2k
John Freund United States 14 1.1k 1.5× 902 1.4× 430 0.8× 240 1.0× 125 1.4× 25 1.5k
Lindsey T. Saldin United States 8 767 1.0× 669 1.0× 483 0.9× 160 0.7× 54 0.6× 9 1.1k
Ryotaro Hashizume Japan 21 867 1.1× 910 1.4× 466 0.9× 193 0.8× 88 1.0× 37 1.6k
Tadashi Sasagawa Japan 14 568 0.7× 518 0.8× 712 1.4× 313 1.3× 135 1.6× 21 1.3k
Ming‐Huei Cheng Taiwan 22 664 0.8× 494 0.8× 507 1.0× 162 0.7× 102 1.2× 39 1.4k
Emil Ruvinov Israel 20 848 1.1× 916 1.4× 617 1.2× 403 1.6× 152 1.7× 27 1.6k
Derek J. Mortisen United States 7 505 0.6× 581 0.9× 596 1.2× 242 1.0× 72 0.8× 7 1.2k
Anthal I.P.M. Smits Netherlands 23 973 1.2× 1.2k 1.8× 648 1.3× 166 0.7× 78 0.9× 52 1.7k
Meng Fatt Leong Singapore 20 523 0.7× 716 1.1× 718 1.4× 316 1.3× 47 0.5× 25 1.3k
Luai Huleihel United States 17 638 0.8× 426 0.7× 308 0.6× 509 2.1× 251 2.9× 26 1.4k

Countries citing papers authored by Madeline C. Cramer

Since Specialization
Citations

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

Fields of papers citing papers by Madeline C. Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madeline C. Cramer. 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 Madeline C. Cramer. The network helps show where Madeline C. Cramer may publish in the future.

Co-authorship network of co-authors of Madeline C. Cramer

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

All Works

16 of 16 papers shown
1.
Cramer, Madeline C., Massimo Borrelli, Lisa Mathews, et al.. (2024). Cardiac matrix-bound Nanovesicles provide insight into mechanisms of clinical heart disease progression to failure. International Journal of Cardiology. 421. 132892–132892. 2 indexed citations
2.
Capella‐Monsonís, Héctor, Madeline C. Cramer, Neill J. Turner, et al.. (2023). The composition and mechanical properties of porcine placental ECM from three different breeds. Biomedical Physics & Engineering Express. 9(6). 65012–65012. 4 indexed citations
3.
Wagley, Yadav, Madeline C. Cramer, Stephen F. Badylak, et al.. (2023). Silver-releasing bioactive glass nanoparticles for infected tissue regeneration. Biomaterials Advances. 154. 213656–213656. 5 indexed citations
4.
Cramer, Madeline C., Catalina Pineda Molina, George S. Hussey, Hēth Turnquist, & Stephen F. Badylak. (2022). Transcriptomic Regulation of Macrophages by Matrix-Bound Nanovesicle-Associated Interleukin-33. Tissue Engineering Part A. 28(19-20). 867–878. 9 indexed citations
5.
Cramer, Madeline C., William D’Angelo, Marley J. Dewey, et al.. (2022). Extracellular vesicles present in bone, blood and extracellular matrix have distinctive characteristics and biologic roles. 18. 100066–100066. 8 indexed citations
6.
Cramer, Madeline C., Hongshuai Li, Aurélie Serrero, et al.. (2021). Tissue response, macrophage phenotype, and intrinsic calcification induced by cardiovascular biomaterials: Can clinical regenerative potential be predicted in a rat subcutaneous implant model?. Journal of Biomedical Materials Research Part A. 110(2). 245–256. 23 indexed citations
7.
Naranjo, Juan Diego, Lindsey T. Saldin, Ryan C. Hill, et al.. (2020). Esophageal extracellular matrix hydrogel mitigates metaplastic change in a dog model of Barrett’s esophagus. Science Advances. 6(27). eaba4526–eaba4526. 28 indexed citations
8.
Hussey, George S., Catalina Pineda Molina, Madeline C. Cramer, et al.. (2020). Lipidomics and RNA sequencing reveal a novel subpopulation of nanovesicle within extracellular matrix biomaterials. Science Advances. 6(12). eaay4361–eaay4361. 75 indexed citations
9.
Cramer, Madeline C. & Stephen F. Badylak. (2019). Extracellular Matrix-Based Biomaterials and Their Influence Upon Cell Behavior. Annals of Biomedical Engineering. 48(7). 2132–2153. 135 indexed citations
10.
Molina, Catalina Pineda, Brian M. Sicari, Ricardo Londoño, et al.. (2018). Comparison of the host macrophage response to synthetic and biologic surgical meshes used for ventral hernia repair. 3. 13–25. 20 indexed citations
11.
Huleihel, Luai, Jenna L. Dziki, Joseph Bartolacci, et al.. (2017). Macrophage phenotype in response to ECM bioscaffolds. Seminars in Immunology. 29. 2–13. 139 indexed citations
12.
Hussey, George S., Madeline C. Cramer, & Stephen F. Badylak. (2017). Extracellular Matrix Bioscaffolds for Building Gastrointestinal Tissue. Cellular and Molecular Gastroenterology and Hepatology. 5(1). 1–13. 51 indexed citations
13.
Dziki, Jenna L., Brian M. Sicari, Matthew T. Wolf, Madeline C. Cramer, & Stephen F. Badylak. (2016). Immunomodulation and Mobilization of Progenitor Cells by Extracellular Matrix Bioscaffolds for Volumetric Muscle Loss Treatment. Tissue Engineering Part A. 22(19-20). 1129–1139. 60 indexed citations
14.
Saldin, Lindsey T., Madeline C. Cramer, Sachin Velankar, Lisa J. White, & Stephen F. Badylak. (2016). Extracellular matrix hydrogels from decellularized tissues: Structure and function. Acta Biomaterialia. 49. 1–15. 628 indexed citations breakdown →
15.
Cramer, Madeline C., et al.. (2015). Diffusion–reaction models of genipin incorporation into fibrin networks. Journal of Materials Chemistry B. 3(22). 4607–4615. 33 indexed citations
16.
Cramer, Madeline C., et al.. (2014). Photoresponsive hydrogel networks using melanin nanoparticle photothermal sensitizers. Biomaterials Science. 2(5). 766–766. 23 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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