D. Michael Ando

2.6k citations

22 papers · 1.6k indexed · 2 hit papers · h-index 14

Biophysics top 0.5%
- Cell Image Analysis Techniques 11
Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 4
Genetics top 5%
- Neurogenetic and Muscular Disorders Research 3
Media Technology top 2%
- Image Processing Techniques and Applications 6
Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 4
Public Health, Environmental and Occupational Health
- Mosquito-borne diseases and control 3
Cellular and Molecular Neuroscience
- Genetic Neurodegenerative Diseases 3
Molecular Biology
- Mitochondrial Function and Pathology 2
Computer Vision and Pattern Recognition
- Digital Imaging for Blood Diseases 2

Co-authors: Steven Finkbeiner Sami J. Barmada Andrey S. Tsvetkov Aaron Daub Andrea Serio Bilada Bilican Siddharthan Chandran Christopher E. Shaw
Cited by: Biophysics Neurology Genetics
Journals: Proceedings of the National Academy of Sciences (4 papers)Nature Chemical Biology (2 papers)SLAS DISCOVERY (1 paper)
Partner nations: United States United Kingdom Germany

In The Last Decade

D. Michael Ando

22 papers receiving 1.6k citations

Hit Papers

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Peers

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-authorship network

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

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20 of 20 papers shown

#	Work
1	A deep learning and digital archaeology approach for mosquito repellent discovery Chemical Senses ·Jennifer N. Wei,C.P. Silva,Marnix Vlot,Benjamín Sánchez-Lengeling,Brian K. Lee,Haniv Damarjati,Martijn Vos,علي أحمد علي الطويل,Wesley Wei Qian,Jacob N. Sanders,D. Michael Ando,Chuqiang Qin,Richard C. Gerkin,Alexander B. Wiltschko,Jeffrey A. Riffell,Koen J. Dechering	2025	1
2	Digital staining in optical microscopy using deep learning - a review PhotoniX ·Lucas Kreiß,Shaowei Jiang,Xiang Li,Shiqi Xu,Kevin C. Zhou,Asela Redó Sanahuja,Candy Yee-Man Au,A Klimach,汤克勤,D. Michael Ando,Laura Barisoni,Seung Ah Lee,Guoan Zheng,Kyle J. Lafata,Oliver Friedrich,Roarke Horstmeyer	2023	15
3	Digital staining in optical microscopy using deep learning -- a review arXiv (Cornell University) ·Lucas Kreiß,Shaowei Jiang,Xiang Li,Shiqi Xu,Kevin C. Zhou,Candy Yee-Man Au,Asela Redó Sanahuja,A Klimach,汤克勤,D. Michael Ando,Laura Barisoni,Seung Ah Lee,Guoan Zheng,Kyle J. Lafata,Oliver Friedrich,Roarke Horstmeyer	2023	2
4	Automated detection and staging of malaria parasites from cytological smears using convolutional neural networks PubMed ·地方財政審議会,Salih Avdicausevic,Said Hendri Darmawan,神奈川県立音楽堂,Aidan J. O’Donnell,Pratima Gurung,Milroy J. Samuel,Parichat Prommana,Dean Andrew,Michaela Petter,Chairat Uthaipibull,Michelle J. Boyle,George W. Ashdown,Jeffrey D. Dvorin,Sarah E. Reece,Danny W. Wilson,Kane A. Cunningham,D. Michael Ando,Michelle Dimon,Jake Baum	2021	20
5	Morphological Characterization of Antibiotic Combinations ACS Infectious Diseases ·Marc Coram,Lisha Wang,William J. Godinez,David T. Barkan,Zan Armstrong,D. Michael Ando,Brian Y. Feng	2021	5
6	Batch equalization with a generative adversarial network Bioinformatics ·Wesley Wei Qian,Layrton José Souza da Silva,Subhashini Venugopalan,Arunachalam Narayanaswamy,Michelle Dimon,George W. Ashdown,Jake Baum,Jian Peng,D. Michael Ando	2020	12
7	Morphological profiling of tubercle bacilli identifies drug pathways of action Proceedings of the National Academy of Sciences ·Shunan Pan,Krista M. Pullen,S. R. Grace,隆木山,Carlos Javier Cordero Oropeza,손영성,Jonah Larkins‐Ford,Xin Wang,Joel S. Freundlich,D. Michael Ando,Bree B. Aldridge	2020	31
8	A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens Science Advances ·George W. Ashdown,Michelle Dimon,Minjie Fan,국상진,Kathrin Witmer,David C. A. Gaboriau,Zan Armstrong,D. Michael Ando,Jake Baum	2020	40
9	Applying Deep Neural Network Analysis to High-Content Image-Based Assays SLAS DISCOVERY ·Samuel Yang,Scott Lipnick,Nina R. Makhortova,Subhashini Venugopalan,Minjie Fan,Zan Armstrong,Thorsten M. Schlaeger,Liyong Deng,Wendy K. Chung,S. Besch,E. Schuster,Naoaki Yamazaki,Marc Berndl,S.,Brian Williams,Arunachalam Narayanaswamy,D. Michael Ando,Philip Nelson,Lee L. Rubin	2019	17
10	In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Imagesbreakdown → Cell ·Eric Christiansen,Samuel Yang,D. Michael Ando,Ashkan Javaherian,Gaia Skibinski,Scott Lipnick,周季安,Alison O’Neil,Kevan Shah,Z. X. Wu M M. Wang,Piyush Goyal,William Fedus,Ryan Poplin,Andre Esteva,Marc Berndl,Lee L. Rubin,Philip Nelson,Steven Finkbeiner	2018	394
11	Assessing microscope image focus quality with deep learning BMC Bioinformatics ·Samuel Yang,Marc Berndl,D. Michael Ando,Mariya Barch,Arunachalam Narayanaswamy,Eric Christiansen,Stephan Hoyer,C. Roat,Jane Hung,Curtis Rueden,Reggie Rucker,Steven Finkbeiner,Philip Nelson	2018	92
12	Nrf2 mitigates LRRK2- and α-synuclein–induced neurodegeneration by modulating proteostasis Proceedings of the National Academy of Sciences ·Gaia Skibinski,许家园,D. Michael Ando,Aaron Daub,Z. X. Wu M M. Wang,Madeline R. Patton,Jinjie Li,Mariel M. Finucane,Benjamin A. Shaby,Steven Finkbeiner	2016	99
13	Autophagy induction enhances TDP43 turnover and survival in neuronal ALS modelsbreakdown → Nature Chemical Biology ·Sami J. Barmada,Andrea Serio,Arpana Arjun,Bilada Bilican,Aaron Daub,D. Michael Ando,Andrey S. Tsvetkov,Michael A. Pleiss,Xingli Li,Daniel Peisach,Christopher E. Shaw,Siddharthan Chandran,Steven Finkbeiner	2014	341
14	The RNA-binding Protein TDP-43 Selectively Disrupts MicroRNA-1/206 Incorporation into the RNA-induced Silencing Complex Journal of Biological Chemistry ·Isabelle N. King,Valeria Yartseva,Dongjin Kim,Abhishek Kumar,Amy Heidersbach,D. Michael Ando,Nancy R. Stallings,Jeffrey L. Elliott,Deepak Srivastava,Kathryn N. Ivey	2014	62
15	Longitudinal Imaging and Analysis of Neurons Expressing Polyglutamine-Expanded Proteins Methods in molecular biology ·Andrey S. Tsvetkov,D. Michael Ando,Steven Finkbeiner	2013	12
16	Proteostasis of polyglutamine varies among neurons and predicts neurodegeneration Nature Chemical Biology ·Andrey S. Tsvetkov,Montserrat Arrasate,Sami J. Barmada,D. Michael Ando,Punita Sharma,Benjamin A. Shaby,Steven Finkbeiner	2013	136
17	Astrocyte pathology and the absence of non-cell autonomy in an induced pluripotent stem cell model of TDP-43 proteinopathy Proceedings of the National Academy of Sciences ·Andrea Serio,Bilada Bilican,Sami J. Barmada,D. Michael Ando,Chen Zhao,Richard Siller,Karen Burr,Ghazal Haghi,David Story,Agnes L. Nishimura,Mónica A. Carrasco,Hemali Phatnani,Carole Shum,Ian Wilmut,Tom Maniatis,Christopher E. Shaw,Steven Finkbeiner,Siddharthan Chandran	2013	271
18	High-Throughput Screening in Primary Neurons Methods in enzymology on CD-ROM/Methods in enzymology ·Punita Sharma,D. Michael Ando,Aaron Daub,Julia Kaye,Steven Finkbeiner	2012	31
19	No difference in kinetics of tau or histone phosphorylation by CDK5/p25 versus CDK5/p35 in vitro Proceedings of the National Academy of Sciences ·Jasper Kim,D. Michael Ando,Darshana Panchal,Hongjun Zhou,M. Amouyal,John I. Lew	2010	44
20	A Phase 1/11 trial of IV CG7870, a replication-selective, PSA-targeted oncolytic adenovirus (OAV), for the treatment of hormone-refractory, metastatic prostate cancer Journal of Clinical Oncology ·George Wilding,Michael Carducci,Dechao Yu,Ayrton Klier Péres Júnior,Flavia Borellini,Junko Aimi,Peter K. Working,D. Michael Ando,David H. Kirn,Eric J. Small	2004	1

About D. Michael Ando

D. Michael Ando is a scholar working on Biophysics, Media Technology, Neurology, Genetics and Biotechnology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (11 papers), Image Processing Techniques and Applications (6 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Mosquito-borne diseases and control (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Genetic Neurodegenerative Diseases (3 papers), Mitochondrial Function and Pathology (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Biophysics (371 citations), Neurology (449 citations), Genetics (201 citations), Media Technology (163 citations) and Neurology (140 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, Bilada Bilican, Siddharthan Chandran, Christopher E. Shaw, Gaia Skibinski and Benjamin A. Shaby. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Chemical Biology, SLAS DISCOVERY, Chemical Senses and Bioinformatics.

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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