Ellen M. Quardokus

4.2k citations
26 papers · 1.7k indexed · 1 hit paper · h-index 18

Ellen M. Quardokus

25 papers receiving 1.7k citations

Hit Papers

MicrobeJ, a tool for high throughput bacterial cell detec...6382016202620192022200400600

Peers

Ellen M. Quardokus
Comparison fields: 5 of 111
  • Endocrinology 255
  • Genetics 935
  • Molecular Medicine 136
  • Ecology 475
  • Molecular Biology 1.2k
Replace Handuo Shi with:
Handuo Shi United States
Kumaran S. Ramamurthi United States
Marc Bramkamp Germany
Stephen G. Addinall United Kingdom
Lyle A. Simmons United States
Jason M. Peters United States
Zonglin Hu United States
Alexandre Colavin United States
D. Ewen Cameron United States
Christophe Herman United States
Ellen M. Quardokus relative to Handuo Shi United States Handuo Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ellen M. Quardokus

Since Specialization
Citations

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

Fields of papers citing papers by Ellen M. Quardokus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen M. Quardokus. 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 Ellen M. Quardokus. The network helps show where Ellen M. Quardokus may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20236
4 20235
5 20235
6 20238
7 20227
8 202049
9
MicrobeJ, a tool for high throughput bacterial cell detection and quantitative analysisbreakdown →
2016638
10 201319
11 201225
12 2011151
13 200227
14 200255
15 200164
16 1998176
17 199868
18 199697
19 199436
20 199224

About Ellen M. Quardokus

Ellen M. Quardokus is a scholar working on Genetics, Endocrinology and Biophysics, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), Bacteriophages and microbial interactions (6 papers), Bacterial biofilms and quorum sensing (6 papers), Single-cell and spatial transcriptomics (3 papers), AI in cancer detection (3 papers), Vibrio bacteria research studies (2 papers), Medical Image Segmentation Techniques (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Endocrinology (255 citations), Genetics (935 citations) and Molecular Medicine (136 citations). Ellen M. Quardokus has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Yves V. Brun, Adrien Ducret, Neena Din, Andrew Kelly, Jing Xu, Guanglai Li, Pamela Brown, Jay X. Tang, Clay Fuqua and Janine R. Maddock. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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