Alexander M. Bailey

1.5k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Alexander M. Bailey is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Alexander M. Bailey has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in Alexander M. Bailey's work include Mesenchymal stem cell research (6 papers), 3D Printing in Biomedical Research (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Alexander M. Bailey is often cited by papers focused on Mesenchymal stem cell research (6 papers), 3D Printing in Biomedical Research (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Alexander M. Bailey collaborates with scholars based in United States and South Africa. Alexander M. Bailey's co-authors include Shayn M. Peirce, Michael Mendicino, Raj K. Puri, Keith Wonnacott, Steven R. Bauer, Adam J. Katz, Hulan Shang, Patrick Au, Sahil Kapur and Peter J. Amos and has published in prestigious journals such as Nature Biotechnology, Cell stem cell and American Journal Of Pathology.

In The Last Decade

Alexander M. Bailey

15 papers receiving 1.1k 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.

MSC-Based Product Characterization for Clinical Trials: An FDA Perspective

2014 370 citations Michael Mendicino, Alexander M. Bailey et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander M. Bailey United States	13	506	461	310	172	170	15	1.1k
Wouter Van’t Hof United States	23	553 1.1×	471 1.0×	259 0.8×	120 0.7×	199 1.2×	44	1.3k
Huiyu Yao China	13	561 1.1×	375 0.8×	174 0.6×	86 0.5×	138 0.8×	24	1.1k
L W Chung United States	7	503 1.0×	334 0.7×	263 0.8×	235 1.4×	309 1.8×	7	1.4k
Ivana Manini Italy	15	512 1.0×	341 0.7×	151 0.5×	112 0.7×	144 0.8×	25	894
Pamela Becherini Italy	12	609 1.2×	212 0.5×	143 0.5×	86 0.5×	163 1.0×	18	1.0k
Michael Ginsberg United States	16	912 1.8×	155 0.3×	225 0.7×	123 0.7×	156 0.9×	24	1.5k
Xiaoyong Chen China	22	437 0.9×	650 1.4×	280 0.9×	48 0.3×	193 1.1×	45	1.3k
Amit Nathwani United Kingdom	24	601 1.2×	429 0.9×	101 0.3×	100 0.6×	302 1.8×	67	1.5k
Nadim Mahmud United States	24	1.2k 2.3×	1.1k 2.3×	330 1.1×	41 0.2×	369 2.2×	105	2.5k
Judith A. Shizuru United States	8	578 1.1×	273 0.6×	183 0.6×	52 0.3×	255 1.5×	10	1.5k

Countries citing papers authored by Alexander M. Bailey

Since Specialization

Citations

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

Fields of papers citing papers by Alexander M. Bailey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander M. Bailey

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

All Works

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15 of 15 papers shown

Bailey, Alexander M., et al.. (2015). United States Food and Drug Administration Regulation of Gene and Cell Therapies. Advances in experimental medicine and biology. 871. 1–29. 23 indexed citations

Mendicino, Michael, Alexander M. Bailey, Keith Wonnacott, Raj K. Puri, & Steven R. Bauer. (2014). MSC-Based Product Characterization for Clinical Trials: An FDA Perspective. Cell stem cell. 14(2). 141–145. 370 indexed citations breakdown →

Bailey, Alexander M., Michael Mendicino, & Patrick Au. (2014). An FDA perspective on preclinical development of cell-based regenerative medicine products. Nature Biotechnology. 32(8). 721–723. 63 indexed citations

Martin, Kyle S., et al.. (2013). Murine Spinotrapezius Model to Assess the Impact of Arteriolar Ligation on Microvascular Function and Remodeling. Journal of Visualized Experiments. e50218–e50218. 3 indexed citations

Martin, Kyle S., Joshua Cutts, Patricia L. Foley, et al.. (2013). Murine Spinotrapezius Model to Assess the Impact of Arteriolar Ligation on Microvascular Function and Remodeling. Journal of Visualized Experiments. 1 indexed citations

Bailey, Alexander M.. (2012). Balancing Tissue and Tumor Formation in Regenerative Medicine. Science Translational Medicine. 4(147). 147fs28–147fs28. 32 indexed citations

Putzke, Aaron P., Aviva P. Ventura, Alexander M. Bailey, et al.. (2011). Metastatic Progression of Prostate Cancer and E-Cadherin. American Journal Of Pathology. 179(1). 400–410. 116 indexed citations

Bailey, Alexander M., Sahil Kapur, & Adam J. Katz. (2010). Characterization of Adipose-Derived Stem Cells: An Update. Current Stem Cell Research & Therapy. 5(2). 95–102. 61 indexed citations

Bailey, Alexander M., Michael B. Lawrence, Hulan Shang, Adam J. Katz, & Shayn M. Peirce. (2009). Agent-Based Model of Therapeutic Adipose-Derived Stromal Cell Trafficking during Ischemia Predicts Ability To Roll on P-Selectin. PLoS Computational Biology. 5(2). e1000294–e1000294. 59 indexed citations

10.

Amos, Peter J., Alexander M. Bailey, Hulan Shang, et al.. (2008). Functional Binding of Human Adipose-Derived Stromal Cells. Annals of Plastic Surgery. 60(4). 437–444. 14 indexed citations

11.

Bailey, Alexander M., et al.. (2008). Arteriolar Remodeling Following Ischemic Injury Extends from Capillary to Large Arteriole in the Microcirculation. Microcirculation. 15(5). 389–404. 32 indexed citations

12.

Amos, Peter J., et al.. (2008). IFATS Collection: The Role of Human Adipose-Derived Stromal Cells in Inflammatory Microvascular Remodeling and Evidence of a Perivascular Phenotype. Stem Cells. 26(10). 2682–2690. 105 indexed citations

13.

Bailey, Alexander M., et al.. (2007). Agent‐based modeling of multicell morphogenic processes during development. Birth Defects Research Part C Embryo Today Reviews. 81(4). 344–353. 45 indexed citations

14.

Bailey, Alexander M., et al.. (2007). Multi-cell Agent-based Simulation of the Microvasculature to Study the Dynamics of Circulating Inflammatory Cell Trafficking. Annals of Biomedical Engineering. 35(6). 916–936. 74 indexed citations

15.

Bailey, Alexander M., et al.. (2007). Combining experiments with multi-cell agent-based modeling to study biological tissue patterning. Briefings in Bioinformatics. 8(4). 245–257. 91 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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