D. Michael Ando
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Cell Image Analysis Techniques 9
- Advanced Fluorescence Microscopy Techniques 2
- Co-authors
- Steven Finkbeiner (9 shared papers)Sami J. Barmada (3 shared papers)Andrey S. Tsvetkov (3 shared papers)Aaron Daub (3 shared papers)Christopher E. Shaw (2 shared papers)Siddharthan Chandran (2 shared papers)Andrea Serio (2 shared papers)Bilada Bilican (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature Chemical Biology (2 papers)Journal of Clinical Oncology (1 paper)Cell (1 paper)Chemical Senses (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
D. Michael Ando
21 papers receiving 1.6k citations
D. Michael Ando's Hit Papers
Peers
Comparison fields: 5 of 121
- Biophysics 376
- Neurology 452
- Genetics 191
- Media Technology 162
- Developmental Neuroscience 67
Countries citing papers authored by D. Michael Ando
This map shows the geographic impact of D. Michael Ando'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 D. Michael Ando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Michael Ando more than expected).
Fields of papers citing papers by D. Michael Ando
This network shows the impact of papers produced by D. Michael Ando. 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 D. Michael Ando. The network helps show where D. Michael Ando may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Michael Ando, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images Hit paper breakdown → | 2018 | 405 |
| 2 | 2014 | 344 | |
| 3 | 2013 | 272 | |
| 4 | 2013 | 138 | |
| 5 | 2016 | 100 | |
| 6 | 2018 | 97 | |
| 7 | 2014 | 62 | |
| 8 | 2010 | 45 | |
| 9 | 2020 | 40 | |
| 10 | 2012 | 33 | |
| 11 | 2020 | 32 | |
| 12 | 2021 | 22 | |
| 13 | 2019 | 19 | |
| 14 | 2023 | 17 | |
| 15 | 2020 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2016 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2025 | 3 |
About D. Michael Ando
D. Michael Ando is a scholar working on Biophysics, Molecular Biology, Neurology, Media Technology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), Image Processing Techniques and Applications (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Genetic Neurodegenerative Diseases (3 papers), Mosquito-borne diseases and control (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Digital Imaging for Blood Diseases (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Biophysics (376 citations), Neurology (452 citations), Genetics (191 citations), Media Technology (162 citations) and Developmental Neuroscience (67 citations). D. Michael Ando has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steven Finkbeiner, Sami J. Barmada, Andrey S. Tsvetkov, Aaron Daub, Christopher E. Shaw, Siddharthan Chandran, Andrea Serio, Bilada Bilican, Gaia Skibinski and Samuel Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Chemical Biology, Journal of Clinical Oncology, Cell and Chemical Senses.
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.