D. Michael Ando

2.6k citations
22 papers · 1.7k · 2 hit papers · h-index 14

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

D. Michael Ando

21 papers receiving 1.7k citations

D. Michael Ando's Hit Papers

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images 2018 · 419 citations
4190+4+8Years since publication100200300400

Peers

D. Michael Ando
Comparison fields: 5 of 122
  • Biophysics 394
  • Neurology 464
  • Genetics 195
  • Media Technology 175
  • Developmental Neuroscience 71
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Citations per field
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Citations per year

Countries citing papers authored by D. Michael Ando

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with D. Michael Ando Line = papers co-authored together D. Michael Ando links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2018419
2
Autophagy induction enhances TDP43 turnover and survival in neuronal ALS models
Hit paper breakdown →
2014353
3 2013280
4 2013146
5 2016103
6 2018102
7 201465
8 201046
9 202040
10 201233
11 202033
12 202124
13 201921
14 202317
15 202013
16 201312
17 20166
18 20216
19 20216
20 20253

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 (394 citations), Neurology (464 citations), Genetics (195 citations), Media Technology (175 citations) and Developmental Neuroscience (71 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, Andrea Serio, Christopher E. Shaw, Siddharthan Chandran, Bilada Bilican, Gaia Skibinski and Samuel Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Chemical Biology, Bioinformatics, PhotoniX and Biometrics.

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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