Michael Glinka
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research
- Bone Tissue Engineering Materials
- Innovative Microfluidic and Catalytic Techniques Innovation
Papers in
-
- 3D Printing in Biomedical Research 6
- Bone Tissue Engineering Materials 4
- Innovative Microfluidic and Catalytic Techniques Innovation 2
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- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Richard O. C. Oreffo (7 shared papers)Jonathan I. Dawson (5 shared papers)Gianluca Cidonio (5 shared papers)Yang‐Hee Kim (3 shared papers)Michael Sendtner (2 shared papers)Tim B. F. Woodfield (1 shared paper)Cesar R. Alcala‐Orozco (1 shared paper)Isha Mutreja (1 shared paper)
- Journals
- Biofabrication (2 papers)PLoS Genetics (1 paper)Human Molecular Genetics (1 paper)Biomaterials (1 paper)Materials Today Bio (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Michael Glinka
13 papers receiving 796 citations
Peers
Comparison fields: 5 of 70
- Automotive Engineering 267
- Biomedical Engineering 536
- Genetics 117
- Biomaterials 102
- Molecular Medicine 32
Countries citing papers authored by Michael Glinka
This map shows the geographic impact of Michael Glinka'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 Michael Glinka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Glinka more than expected).
Fields of papers citing papers by Michael Glinka
This network shows the impact of papers produced by Michael Glinka. 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 Michael Glinka. The network helps show where Michael Glinka may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Glinka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 206 | |
| 2 | 2019 | 173 | |
| 3 | 2020 | 99 | |
| 4 | 2019 | 87 | |
| 5 | 2010 | 84 | |
| 6 | 2014 | 75 | |
| 7 | 2017 | 37 | |
| 8 | 2018 | 19 | |
| 9 | 2020 | 9 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 1 |
About Michael Glinka
Michael Glinka is a scholar working on Biomedical Engineering, Molecular Biology, Automotive Engineering, Biophysics and Genetics, having authored 13 papers that have together received 800 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (6 papers), Bone Tissue Engineering Materials (4 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), Cell Image Analysis Techniques (3 papers), Neurogenetic and Muscular Disorders Research (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), RNA Research and Splicing (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Automotive Engineering (267 citations), Biomedical Engineering (536 citations), Genetics (117 citations), Biomaterials (102 citations) and Molecular Medicine (32 citations). Michael Glinka has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Richard O. C. Oreffo, Jonathan I. Dawson, Gianluca Cidonio, Yang‐Hee Kim, Michael Sendtner, Tim B. F. Woodfield, Cesar R. Alcala‐Orozco, Isha Mutreja, Khoon S. Lim and Liam M. Grover. Their work appears in journals such as Biofabrication, PLoS Genetics, Human Molecular Genetics, Biomaterials and Materials Today Bio.
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.