Jonathan Low

2.3k citations
29 papers · 1.3k · h-index 17

Impact in

Papers in

    • Cell death mechanisms and regulation 2
    • Protein Degradation and Inhibitors 2
    • Polyomavirus and related diseases 6

Jonathan Low

29 papers receiving 1.2k citations

Peers

Jonathan Low
Comparison fields: 5 of 96
  • Oncology 441
  • Biophysics 65
  • Molecular Biology 659
  • Infectious Diseases 149
  • Immunology 170
Replace Frank S. Heldt with:
Frank S. Heldt Germany
Elizabeth A. Chlipala United States
Bhavneet Bhinder United States
Rebecca Smith United States
Douglas A. Weidner United States
Wei Qiu China
Georg Kustatscher Germany
Benjamin Emert United States
Daniel G. Rudmann United States
Aoife Maguire Ireland
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Citations per field
00.5×2.7×
Frank S. Heldt · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015302
2 2006146
3 2006113
4 200498
5 200679
6 200171
7 200662
8 201360
9 200936
10 201835
11 202332
12 200829
13 202028
14 201126
15 201723
16 200920
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 Molecular Biology, Oncology, Infectious Diseases, Biophysics and Genetics, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (6 papers), Parvovirus B19 Infection Studies (5 papers), Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Image Processing Techniques and Applications (3 papers), Forensic and Genetic Research (2 papers), Cell death mechanisms and regulation (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Oncology (441 citations), Biophysics (65 citations), Molecular Biology (659 citations), Infectious Diseases (149 citations) and Immunology (170 citations). Jonathan Low has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Michael J. Imperiale, Johanna R. Abend, Billy Tsai, Brian Magnuson, Michael T. McCabe, Mark L. Day, Cliff Guy, Douglas R. Green, Giovanni Quarato and James G. Cripps. Their work appears in journals such as SLAS DISCOVERY, Journal of Virology, PLoS ONE, Virology and Molecular Cancer Therapeutics.

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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