Emily J. Stevens

2.4k citations
17 papers · 1.7k indexed · 2 hit papers · h-index 10
Topics
Evolution and Genetic Dynamics (9 papers)Gut microbiota and health (5 papers)Antimicrobial Resistance in Staphylococcus (3 papers)

In The Last Decade

Emily J. Stevens

16 papers receiving 1.7k citations

Hit Papers

Common Virulence Factors for Bacterial Pathogenicity in P...1995202620052015199520212505007501000

Peers

Emily J. Stevens
Comparison fields: 5 of 114
  • Molecular Biology 1000
  • Genetics 391
  • Molecular Medicine 329
  • Endocrinology 256
  • Plant Science 240
Replace Sachiko Miyata with:
Sachiko Miyata United States
Eliana Drenkard United States
Daniel G. Lee United States
Larry A. Gallagher United States
Ewa Laskowska Poland
Sherry L. Kuchma United States
Elżbieta Brzuszkiewicz Germany
Dave Stroud United Kingdom
Simon A. Jackson New Zealand
Tami D. Lieberman United States
Emily J. Stevens relative to Sachiko Miyata United States Sachiko Miyata's profile →
Citations per field
00.5×1.5×2.3×
Sachiko Miyata · 1×
Citations per year

Countries citing papers authored by Emily J. Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Emily J. Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily J. Stevens. 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 Emily J. Stevens. The network helps show where Emily J. Stevens may publish in the future.

Co-authorship network of co-authors of Emily J. Stevens

This figure shows the co-authorship network connecting the top 25 collaborators of Emily J. Stevens. A scholar is included among the top collaborators of Emily J. Stevens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emily J. Stevens. Emily J. Stevens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 7
5 2
6 1
7 23
8 26
9 109
10
Microbial evolution and transitions along the parasite–mutualist continuumbreakdown →
193
11 29
12 87
13 9
14
Common Virulence Factors for Bacterial Pathogenicity in Plants and Animalsbreakdown →
1039
15 112
16 53
17 28

About Emily J. Stevens

Emily J. Stevens is a scholar working on Aging, Molecular Medicine and Genetics, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (9 papers), Gut microbiota and health (5 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Molecular Medicine (329 citations), Endocrinology (256 citations) and Aging (65 citations). Emily J. Stevens has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Ronald G. Tompkins, Sean F. Wolfort, Laurence G. Rahme, Jing Shao, Frederick M. Ausubel, Kayla C. King, Georgia Drew, Kieran A. Bates, Martin L. Yarmush and Helen W. Pogrebniak. Their work appears in journals such as Science, Applied and Environmental Microbiology and Nature Reviews 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.

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