Marc Takeno

2.9k total citations
12 papers, 352 citations indexed

About

Marc Takeno is a scholar working on Surgery, Biophysics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marc Takeno has authored 12 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Biophysics and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marc Takeno's work include Cell Image Analysis Techniques (3 papers), Barrier Structure and Function Studies (2 papers) and 3D Printing in Biomedical Research (2 papers). Marc Takeno is often cited by papers focused on Cell Image Analysis Techniques (3 papers), Barrier Structure and Function Studies (2 papers) and 3D Printing in Biomedical Research (2 papers). Marc Takeno collaborates with scholars based in United States, South Korea and Austria. Marc Takeno's co-authors include Orson W. Moe, Ming Chang Hu, Makoto Kuro‐o, Cecilia M. Giachelli, Elizabeth M. Leaf, Wei Ling Lau, Buddy D. Ratner, Kip D. Hauch, Thomas A. Horbett and Marcia L. Usui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Kidney International.

In The Last Decade

Marc Takeno

11 papers receiving 343 citations

Peers

Countries citing papers authored by Marc Takeno

Since Specialization

Citations

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

Fields of papers citing papers by Marc Takeno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Takeno. 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 Marc Takeno. The network helps show where Marc Takeno may publish in the future.

Co-authorship network of co-authors of Marc Takeno

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Endothelial structure contributes to heterogeneity in brain capillary diameter 2023 ·SHILAP Revista de lepidopterología ·(unknown), Stephanie Bonney, Yuandong Li, Stefan Stamenković, Marc Takeno, Vanessa Coelho‐Santos, Andy Y. Shih	6
2	Public Volume Electron Microscopy Data: An Essential Resource to Study the Brain Microvasculature 2022 ·Frontiers in Cell and Developmental Biology ·Stephanie Bonney, Vanessa Coelho‐Santos, Sheng‐Fu Huang, Marc Takeno, Joergen Kornfeld, Annika Keller, Andy Y. Shih	24
3	Anomaly Detection in EM Images - A Zero-Shot Learning Approach 2022 ·2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) ·Gayathri Mahalingam, Tong Jiao, Casey M Schneider-Mizell, Ágnes L. Bodor, Russel Torres, Marc Takeno, JoAnn Buchanan, Daniel J. Bumbarger, Wenjing Yin, Derrick Brittain, Clay Reid, Nuno da Costa	0
4	Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes 2018 ·Scientific Reports ·(unknown), (unknown), (unknown), Ming Du, Robert Hill, Maximilian Joesch, Marc Takeno, Hongkui Zeng, Nuno Maçarico da Costa, Jaime Grutzendler, Narayanan Kasthuri, Walter J. Scheirer	10
5	Registration and Alignment Between in vivo Functional and Cytoarchitectonic Maps of Mouse Visual Cortex 2018 ·BIO-PROTOCOL ·Jun Zhuang, Quanxin Wang, Marc Takeno, Jack Waters	1
6	Capillary Force Seeding of Sphere-Templated Hydrogels for Tissue-Engineered Prostate Cancer Xenografts 2013 ·Tissue Engineering Part C Methods ·Thomas J. Long, Marc Takeno, Cynthia C.T. Sprenger, Stephen R. Plymate, Buddy D. Ratner	14
7	Vitamin D receptor agonists increase klotho and osteopontin while decreasing aortic calcification in mice with chronic kidney disease fed a high phosphate diet 2012 ·Kidney International ·Wei Ling Lau, Elizabeth M. Leaf, Ming Chang Hu, Marc Takeno, Makoto Kuro‐o, Orson W. Moe, Cecilia M. Giachelli	208
8	Quantifying the effect of pore size and surface treatment on epidermal incorporation into percutaneously implanted sphere‐templated porous biomaterials in mice 2011 ·Journal of Biomedical Materials Research Part A ·Robert A. Underwood, Marcia L. Usui, Ge Zhao, Kip D. Hauch, Marc Takeno, Buddy D. Ratner, Andrew John Marshall, (unknown), John E. Olerud, Philip Fleckman	41
9	Identification and Imaging of ¹⁵ N labeled cells with ToF‐SIMS 2010 ·Surface and Interface Analysis ·Bonnie J. Tyler, Marc Takeno, Kip D. Hauch	7
10	Controlled release of dexamethasone from subcutaneously‐implanted biosensors in pigs: Localized anti‐inflammatory benefit without systemic effects 2010 ·Journal of Biomedical Materials Research Part A ·W. Kenneth Ward, (unknown), Ryan G. Massoud, J. Michael Engle, Marc Takeno, Kip D. Hauch	20
11	Glow Discharge Plasma Deposition (GDPD) Technique for the Local Controlled Delivery of Hirudin from Biomaterials 1998 ·Pharmaceutical Research ·(unknown), Marc Takeno, Buddy D. Ratner, Thomas A. Horbett	15
12	Pharmacology and controlled release of hirudin for cardiovascular disorders 1996 ·Cardiovascular Pathology ·Dae‐Duk Kim, Thomas A. Horbett, Marc Takeno, Buddy D. Ratner	6

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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