Ann M. Stevens

4.5k citations
58 papers · 3.4k indexed · 1 hit paper · h-index 29
Topics
Bacterial biofilms and quorum sensing (23 papers)Bacterial Genetics and Biotechnology (20 papers)Plant-Microbe Interactions and Immunity (10 papers)
Partner nations
United StatesJapanSweden

In The Last Decade

Ann M. Stevens

57 papers receiving 3.3k citations

Hit Papers

Cross-species induction of luminescence in the quorum-sen...19972026200620161997200400600

Peers

Ann M. Stevens
Comparison fields: 5 of 133
  • Molecular Biology 2.2k
  • Genetics 1000
  • Endocrinology 832
  • Ecology 648
  • Biomedical Engineering 408
Replace R. Elizabeth Sockett with:
R. Elizabeth Sockett United Kingdom
Steven T. Rutherford United States
Wai‐Leung Ng United States
Jonathan M. Urbach United States
Amy L. Schaefer United States
Michael J. Benedik United States
Laura Hobley United Kingdom
Gabriella Pessi Switzerland
Andrew J. Spiers United Kingdom
Larry A. Gallagher United States
Ann M. Stevens relative to R. Elizabeth Sockett United Kingdom R. Elizabeth Sockett's profile →
Citations per field
00.5×1.5×1.9×
R. Elizabeth Sockett · 1×
Citations per year

Countries citing papers authored by Ann M. Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Ann M. Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann M. Stevens

This figure shows the co-authorship network connecting the top 25 collaborators of Ann M. Stevens. A scholar is included among the top collaborators of Ann M. 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 Ann M. Stevens. Ann M. Stevens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 8
4 12
5 4
6 21
7 16
8 10
9 40
10 3
11 37
12 22
13 42
14
Implementing Inquiry-Based Learning in Teaching Serial Dilutions.
6
15 127
16 48
17 49
18 28
19 57
20 18

About Ann M. Stevens

Ann M. Stevens is a scholar working on Endocrinology, Genetics and Molecular Medicine, having authored 58 papers that have together received 3.4k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (23 papers), Bacterial Genetics and Biotechnology (20 papers) and Plant-Microbe Interactions and Immunity (10 papers). The work is most often cited by research in Endocrinology (832 citations), Molecular Medicine (359 citations) and Genetics (1000 citations). Ann M. Stevens has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include E. Peter Greenberg, Bonnie L. Bassler, Nadja B. Shoemaker, A A Salyers, L Y Li, Andre Levchenko, Katherine M. Dolan, Alex Groisman, Roderick V. Jensen and Y. Dufour. Their work appears in journals such as Cell, Chemical Reviews and Proceedings of the National Academy of Sciences.

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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