Nicolas Quach

883 citations
8 papers · 506 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Nicolas Quach

7 papers receiving 500 citations

Hit Papers

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments 2016 · 337 citations
3372016202620192022100200300

Peers

Nicolas Quach
Comparison fields: 5 of 88
  • Biophysics 219
  • Health Informatics 14
  • Media Technology 83
  • Organic Chemistry 95
  • Computer Vision and Pattern Recognition 63
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Jane Hung United States
Tomáš Vičar Czechia
Ambrogio Colombo Italy
Ádám Arany Belgium
Rana Riahi United States
Nick Thomas United Kingdom
Samson Fong United States
Luma V. Halig United States
Mordechai Deutsch Israel
Amrita Kaur India
Nicolas Quach relative to Jane Hung United States Jane Hung's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nicolas Quach

Since Specialization
Citations

This map shows the geographic impact of Nicolas Quach'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 Nicolas Quach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Quach more than expected).

Fields of papers citing papers by Nicolas Quach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Quach. 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 Nicolas Quach. The network helps show where Nicolas Quach may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicolas Quach, 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 Nicolas Quach Line = papers co-authored together Nicolas Quach links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 202145
2 202111
3 20217
4 202110
5 20213
6 20200
7 201793
8
Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments
Hit paper breakdown →
2016337

About Nicolas Quach

Nicolas Quach is a scholar working on Emergency Medicine, Biophysics, Cardiology and Cardiovascular Medicine, Media Technology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 506 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (4 papers), Aortic Disease and Treatment Approaches (2 papers), Cardiac Arrest and Resuscitation (2 papers), Aortic aneurysm repair treatments (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Chemical Synthesis and Analysis (1 paper), Cardiac Valve Diseases and Treatments (1 paper) and Asymmetric Hydrogenation and Catalysis (1 paper). The work is most often cited by research in Biophysics (219 citations), Health Informatics (14 citations), Media Technology (83 citations), Organic Chemistry (95 citations) and Computer Vision and Pattern Recognition (63 citations). Nicolas Quach has collaborated with scholars based in United States. Frequent co-authors include Derek N. Macklin, Yu Tanouchi, Takamasa Kudo, Keara Lane, Inbal Maayan, Mialy DeFelice, Euan A. Ashley, Markus W. Covert, Barry M. Trost and Rohan Shad. Their work appears in journals such as Journal of the American Chemical Society, Circulation Heart Failure, PLoS Computational Biology, Nature Communications and Circulation.

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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