Bryan N. Brown

8.3k total citations · 4 hit papers
87 papers, 6.5k citations indexed

About

Bryan N. Brown is a scholar working on Surgery, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Bryan N. Brown has authored 87 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Surgery, 32 papers in Biomaterials and 20 papers in Biomedical Engineering. Recurrent topics in Bryan N. Brown's work include Tissue Engineering and Regenerative Medicine (50 papers), Electrospun Nanofibers in Biomedical Applications (30 papers) and Bone Tissue Engineering Materials (14 papers). Bryan N. Brown is often cited by papers focused on Tissue Engineering and Regenerative Medicine (50 papers), Electrospun Nanofibers in Biomedical Applications (30 papers) and Bone Tissue Engineering Materials (14 papers). Bryan N. Brown collaborates with scholars based in United States, United Kingdom and Russia. Bryan N. Brown's co-authors include Stephen F. Badylak, Buddy D. Ratner, Janet E. Reing, Stuart B. Goodman, Salomon Amar, Matthew T. Wolf, Kerry A. Daly, Samuel T. LoPresti, Ann M. Stewart‐Akers and George P. McCabe and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Bryan N. Brown

82 papers receiving 6.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Macrophage polarization: An opportunity for improved outcomes in biomaterials and regenerative medicine

2012 748 citations Bryan N. Brown, Buddy D. Ratner et al. Biomaterials profile →
Macrophage phenotype and remodeling outcomes in response to biologic scaffolds with and without a cellular component

2009 701 citations Bryan N. Brown, Jolene E. Valentin et al. Biomaterials profile →
Macrophage phenotype as a predictor of constructive remodeling following the implantation of biologically derived surgical mesh materials

2011 595 citations Bryan N. Brown, Stephen Tottey et al. profile →
Extracellular matrix as an inductive scaffold for functional tissue reconstruction

2013 392 citations Bryan N. Brown, Stephen F. Badylak profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan N. Brown United States	38	4.1k	2.9k	2.1k	979	557	87	6.5k
Matthew T. Wolf United States	28	3.1k 0.8×	2.5k 0.9×	1.9k 0.9×	1.1k 1.1×	470 0.8×	43	5.2k
Donald O. Freytes United States	30	4.2k 1.0×	3.5k 1.2×	2.1k 1.0×	946 1.0×	439 0.8×	62	6.0k
Mark A. Randolph United States	49	4.2k 1.0×	2.0k 0.7×	2.0k 0.9×	610 0.6×	680 1.2×	260	8.8k
Kara L. Spiller United States	34	1.6k 0.4×	1.2k 0.4×	1.9k 0.9×	1.1k 1.1×	605 1.1×	81	5.4k
Michael Raghunath Singapore	47	1.6k 0.4×	2.3k 0.8×	1.8k 0.8×	1.8k 1.8×	1.0k 1.9×	161	7.5k
Masoud Soleimani Iran	48	2.3k 0.6×	3.1k 1.1×	2.6k 1.2×	2.8k 2.9×	1.7k 3.1×	304	8.8k
Mikaël M. Martino Switzerland	32	1.2k 0.3×	1.6k 0.6×	1.9k 0.9×	1.5k 1.5×	555 1.0×	53	5.8k
Cunyi Fan China	53	3.2k 0.8×	2.2k 0.8×	2.6k 1.2×	1.4k 1.4×	306 0.5×	269	8.5k
Simon P. Hoerstrup Switzerland	59	6.0k 1.5×	5.6k 1.9×	3.0k 1.4×	1.8k 1.9×	1.2k 2.1×	230	10.4k
Ulrich Kneser Germany	53	5.5k 1.3×	2.0k 0.7×	3.6k 1.7×	1.4k 1.4×	806 1.4×	526	10.1k

Countries citing papers authored by Bryan N. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Bryan N. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan N. Brown. 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 Bryan N. Brown. The network helps show where Bryan N. Brown may publish in the future.

Co-authorship network of co-authors of Bryan N. Brown

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

All Works

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20 of 20 papers shown

Kulkarni, Mangesh, et al.. (2025). Distinct impacts of aging on the immune responses to extracellular matrix-based versus synthetic biomaterials. Biomaterials. 320. 123204–123204. 4 indexed citations

LoPresti, Samuel T., Mangesh Kulkarni, Zariel I. Johnson, et al.. (2025). Effect of Fibroblast Signaling on Macrophage Polarization. American Journal Of Pathology. 195(7). 1264–1278.

Wood, Matthew D., Lauren Schellhardt, Pooja A. Chawla, et al.. (2025). Prevention of nerve growth and evoked pain with a nerve cap graft device. npj Regenerative Medicine. 10(1). 29–29.

Sukhwani, Meena, et al.. (2023). A bioengineered in situ ovary (ISO) supports follicle engraftment and live-births post-chemotherapy. Journal of Tissue Engineering. 14. 1778687586–1778687586. 8 indexed citations

Crum, Raphael J., Scott A. Johnson, Peng Jiang, et al.. (2022). Transcriptomic, Proteomic, and Morphologic Characterization of Healing in Volumetric Muscle Loss. Tissue Engineering Part A. 28(23-24). 941–957. 8 indexed citations

Brown, Bryan N., Elizabeth C. Stahl, Lisa M. Mitchell, et al.. (2020). An Exploratory Study into the Implantation of Arytenoid Cartilage Scaffold in the Horse. Tissue Engineering Part A. 27(3-4). 165–176. 1 indexed citations

Almarza, Alejandro J., Bryan N. Brown, Boaz Arzi, et al.. (2017). Preclinical Animal Models for Temporomandibular Joint Tissue Engineering. Tissue Engineering Part B Reviews. 24(3). 171–178. 51 indexed citations

Huleihel, Luai, Joseph Bartolacci, Jenna L. Dziki, et al.. (2017). Matrix-Bound Nanovesicles Recapitulate Extracellular Matrix Effects on Macrophage Phenotype. Tissue Engineering Part A. 23(21-22). 1283–1294. 88 indexed citations

Hartman, Robert A., Takashi Yurube, Kevin Ngo, et al.. (2015). Biological responses to flexion/extension in spinal segments ex‐vivo. Journal of Orthopaedic Research®. 33(8). 1255–1264. 19 indexed citations

10.

Rao, Jayashree, Bryan N. Brown, Justin S. Weinbaum, et al.. (2015). Distinct macrophage phenotype and collagen organization within the intraluminal thrombus of abdominal aortic aneurysm. Journal of Vascular Surgery. 62(3). 585–593. 23 indexed citations

11.

Wolf, Matthew T., Christopher L. Dearth, Samuel T. LoPresti, et al.. (2014). Macrophage polarization in response to ECM coated polypropylene mesh. Biomaterials. 35(25). 6838–6849. 195 indexed citations

12.

Wolf, Matthew T., Yoram Vodovotz, Stephen Tottey, Bryan N. Brown, & Stephen F. Badylak. (2014). Predicting In Vivo Responses to Biomaterials via Combined In Vitro and In Silico Analysis. Tissue Engineering Part C Methods. 21(2). 148–159. 39 indexed citations

13.

Puetzer, Jennifer L., Bryan N. Brown, Jeffrey J. Ballyns, & Lawrence J. Bonassar. (2013). The Effect of IGF-I on Anatomically Shaped Tissue-Engineered Menisci. Tissue Engineering Part A. 19(11-12). 1443–1450. 24 indexed citations

14.

Zhang, Ling, Feng Zhang, Zhongfang Weng, et al.. (2013). Effect of an Inductive Hydrogel Composed of Urinary Bladder Matrix Upon Functional Recovery Following Traumatic Brain Injury. Tissue Engineering Part A. 19(17-18). 1909–1918. 51 indexed citations

15.

Iyer, Shama R., Helen Valentine, Sean P. McDonough, et al.. (2013). Effects of Chitosan Coatings on Polypropylene Mesh for Implantation in a Rat Abdominal Wall Model. Tissue Engineering Part A. 19(23-24). 2713–2723. 36 indexed citations

16.

Brown, Bryan N., et al.. (2013). Computed Tomography-Guided Tissue Engineering of Upper Airway Cartilage. Tissue Engineering Part C Methods. 20(6). 506–513. 6 indexed citations

17.

Brown, Bryan N., et al.. (2012). Inductive, Scaffold-Based, Regenerative Medicine Approach to Reconstruction of the Temporomandibular Joint Disk. Journal of Oral and Maxillofacial Surgery. 70(11). 2656–2668. 56 indexed citations

18.

Brown, Bryan N., John Freund, Han Li, et al.. (2010). Comparison of Three Methods for the Derivation of a Biologic Scaffold Composed of Adipose Tissue Extracellular Matrix. Tissue Engineering Part C Methods. 17(4). 411–421. 166 indexed citations

19.

Brown, Bryan N., Kerry A. Daly, Michael T. Lotze, & Stephen F. Badylak. (2009). The role of DAMPs in the host immune and remodeling response to xenogeneic biologic scaffold materials (141.27). The Journal of Immunology. 182(Supplement_1). 141.27–141.27. 1 indexed citations

20.

Brown, Bryan N., Jolene E. Valentin, Ann M. Stewart‐Akers, George P. McCabe, & Stephen F. Badylak. (2009). Macrophage phenotype and remodeling outcomes in response to biologic scaffolds with and without a cellular component. Biomaterials. 30(8). 1482–1491. 701 indexed citations breakdown →

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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