Edward G. Ruby

155 papers receiving 10.4k citations

Peers

Edward G. Ruby
Comparison fields: 5 of 143
  • Endocrinology 4.2k
  • Ecology 3.2k
  • Ecology, Evolution, Behavior and Systematics 1.7k
  • Immunology 1.7k
  • Molecular Biology 5.7k
Replace Margaret McFall‐Ngai with:
Margaret McFall‐Ngai United States
Vincent Lefort France
Jean-François Dufayard France
Maria Anisimova Switzerland
Stéphane Audic France
Evan Mauceli United States
Heiko A. Schmidt Austria
Manolo Gouy France
Patrick J. Keeling Canada
W. Ford Doolittle Canada
Edward G. Ruby relative to Margaret McFall‐Ngai United States Margaret McFall‐Ngai's profile →
Citations per field
00.5×1.7×
Margaret McFall‐Ngai · 1×
Citations per year

Countries citing papers authored by Edward G. Ruby

Since Specialization
Citations

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

Fields of papers citing papers by Edward G. Ruby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward G. Ruby. 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 Edward G. Ruby. The network helps show where Edward G. Ruby may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990339
2 2000305
3 2005301
4 1991281
5 1996265
6 2000259
7 1994210
8 2002208
9 2003191
10 1993190
11 1976186
12 1994179
13 2009176
14 2005173
15 2015165
16 2016162
17 1998162
18 1998146
19 2010144
20 1981144

About Edward G. Ruby

Edward G. Ruby is a scholar working on Endocrinology, Molecular Biology, Ecology, Ecology, Evolution, Behavior and Systematics and Cellular and Molecular Neuroscience, having authored 160 papers that have together received 10.8k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (78 papers), Bacterial biofilms and quorum sensing (40 papers), Cephalopods and Marine Biology (35 papers), Photoreceptor and optogenetics research (29 papers), Aquaculture disease management and microbiota (22 papers), Microbial Community Ecology and Physiology (20 papers), Bacterial Genetics and Biotechnology (16 papers) and Parasite Biology and Host Interactions (14 papers). The work is most often cited by research in Endocrinology (4.2k citations), Ecology (3.2k citations), Ecology, Evolution, Behavior and Systematics (1.7k citations), Immunology (1.7k citations) and Molecular Biology (5.7k citations). Edward G. Ruby has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Margaret McFall‐Ngai, Eric V. Stabb, Karen L. Visick, Katherine J. Boettcher, Claudia Lupp, Kenneth H. Nealson, Kyu‐Ho Lee, Joerg Graf, Deborah S. Millikan and Michael S. Wollenberg. Their work appears in journals such as Journal of Bacteriology, Applied and Environmental Microbiology, Proceedings of the National Academy of Sciences, Molecular Microbiology and Environmental Microbiology.

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.

Explore authors with similar magnitude of impact