Jin Akagi
Impact in
- Biophysics top 5%
Papers in
-
- 3D Printing in Biomedical Research 14
- Microfluidic and Bio-sensing Technologies 12
- Microfluidic and Capillary Electrophoresis Applications 6
- Cell Biology 12
- Zebrafish Biomedical Research Applications 12
- Co-authors
- Donald Włodkowic (26 shared papers)Khashayar Khoshmanesh (12 shared papers)Jonathan M. Cooper (8 shared papers)Christopher J. Hall (11 shared papers)Philip S. Crosier (10 shared papers)Kathryn E. Crosier (10 shared papers)David E. Williams (4 shared papers)Joanna Skommer (5 shared papers)
- Journals
- Cytometry Part A (4 papers)Current Protocols in Cytometry (3 papers)Biosensors and Bioelectronics (2 papers)Analytical Chemistry (2 papers)Sensors and Actuators B Chemical (2 papers)
- Partner nations
- New ZealandAustraliaUnited Kingdom
In The Last Decade
Jin Akagi
26 papers receiving 620 citations
Peers
Comparison fields: 5 of 89
- Biophysics 67
- Aging 17
- Cell Biology 141
- Biomedical Engineering 344
- Bioengineering 28
Countries citing papers authored by Jin Akagi
This map shows the geographic impact of Jin Akagi'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 Jin Akagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Akagi more than expected).
Fields of papers citing papers by Jin Akagi
This network shows the impact of papers produced by Jin Akagi. 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 Jin Akagi. The network helps show where Jin Akagi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Akagi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 109 | |
| 2 | 2012 | 71 | |
| 3 | 2011 | 53 | |
| 4 | 2011 | 53 | |
| 5 | 2012 | 39 | |
| 6 | 2012 | 34 | |
| 7 | 2014 | 33 | |
| 8 | 2012 | 32 | |
| 9 | 2013 | 30 | |
| 10 | 2012 | 30 | |
| 11 | 2014 | 27 | |
| 12 | 2011 | 21 | |
| 13 | 2013 | 15 | |
| 14 | 2013 | 15 | |
| 15 | 2013 | 12 | |
| 16 | 2012 | 9 | |
| 17 | 2009 | 7 | |
| 18 | 2012 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2012 | 6 |
About Jin Akagi
Jin Akagi is a scholar working on Biomedical Engineering, Cell Biology, Molecular Biology, Biophysics and Cognitive Neuroscience, having authored 27 papers that have together received 629 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (14 papers), Microfluidic and Bio-sensing Technologies (12 papers), Zebrafish Biomedical Research Applications (12 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Single-cell and spatial transcriptomics (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Neural dynamics and brain function (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Biophysics (67 citations), Aging (17 citations), Cell Biology (141 citations), Biomedical Engineering (344 citations) and Bioengineering (28 citations). Jin Akagi has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Donald Włodkowic, Khashayar Khoshmanesh, Jonathan M. Cooper, Christopher J. Hall, Philip S. Crosier, Kathryn E. Crosier, David E. Williams, Joanna Skommer, Dany Spencer Adams and Michael Levin. Their work appears in journals such as Cytometry Part A, Current Protocols in Cytometry, Biosensors and Bioelectronics, Analytical Chemistry and Sensors and Actuators B Chemical.
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.