Jonathan Low

2.3k citations
28 papers · 1.2k indexed · h-index 17

Impact in

Papers in

    • Cell Image Analysis Techniques 5
    • Advanced Fluorescence Microscopy Techniques 3
    • Image Processing Techniques and Applications 3

Jonathan Low

28 papers receiving 1.2k citations

Peers

Jonathan Low
Comparison fields: 5 of 98
  • Oncology 450
  • Biophysics 65
  • Molecular Biology 691
  • Infectious Diseases 158
  • Immunology 178
Replace Wei Qiu with:
Wei Qiu China
Elizabeth A. Chlipala United States
Frank S. Heldt Germany
Lorraine H. Toji United States
Karsten Schnatbaum Germany
Karin Breuer Canada
David A. Scott United States
Chi Hang Wong Hong Kong
Robert C. Boltz United States
Jana Zecha Germany
Jonathan Low relative to Wei Qiu China Wei Qiu's profile →
Citations per field
00.5×2.6×
Wei Qiu · 1×
Citations per year

Countries citing papers authored by Jonathan Low

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015294
2 2006146
3 2006113
4 200498
5 200677
6 200171
7 200661
8 201360
9 200936
10 201834
11 202330
12 200829
13 202028
14 201126
15 201721
16 200919
17
Prioritizing hits from phenotypic high-content screens.
200819
18 200714
19 201012
20 201612

About Jonathan Low

Jonathan Low is a scholar working on Biophysics, Media Technology, Oncology, Infectious Diseases and Molecular Biology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (6 papers), Cell Image Analysis Techniques (5 papers), Parvovirus B19 Infection Studies (5 papers), Image Processing Techniques and Applications (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Forensic and Genetic Research (2 papers), Protein Degradation and Inhibitors (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Oncology (450 citations), Biophysics (65 citations), Molecular Biology (691 citations), Infectious Diseases (158 citations) and Immunology (178 citations). Jonathan Low has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Michael J. Imperiale, Johanna R. Abend, Brian Magnuson, Billy Tsai, Michael T. McCabe, Mark L. Day, Cliff Guy, Giovanni Quarato, Douglas R. Green and Ricardo Weinlich. Their work appears in journals such as SLAS DISCOVERY, Journal of Virology, Molecular Cancer Therapeutics, Virology and PLoS ONE.

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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