Alexa Price‐Whelan

5.1k citations
39 papers · 3.7k indexed · 2 hit papers · h-index 28
Topics
Bacterial biofilms and quorum sensing (32 papers)Bacterial Genetics and Biotechnology (18 papers)Microbial Community Ecology and Physiology (9 papers)

In The Last Decade

Alexa Price‐Whelan

39 papers receiving 3.6k citations

Hit Papers

The phenazine pyocyanin is a terminal signalling factor i...200620262012201920062022100200300400500

Peers

Alexa Price‐Whelan
Comparison fields: 5 of 135
  • Molecular Biology 2.6k
  • Genetics 813
  • Ecology 640
  • Molecular Medicine 600
  • Endocrinology 425
Replace Yan Zhu with:
Yan Zhu China
Michaël M. Meijler Israel
Gottfried Unden Germany
Vincent Méjean France
Marcus Miethke Germany
Joan L. Slonczewski United States
Felipe Cava Sweden
Tsukasa Ikeda Japan
Evert P. Bakker Germany
Anton Hartmann Germany
Alexa Price‐Whelan relative to Yan Zhu China Yan Zhu's profile →
Citations per field
00.5×1.5×1.9×
Yan Zhu · 1×
Citations per year

Countries citing papers authored by Alexa Price‐Whelan

Since Specialization
Citations

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

Fields of papers citing papers by Alexa Price‐Whelan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexa Price‐Whelan. 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 Alexa Price‐Whelan. The network helps show where Alexa Price‐Whelan may publish in the future.

Co-authorship network of co-authors of Alexa Price‐Whelan

This figure shows the co-authorship network connecting the top 25 collaborators of Alexa Price‐Whelan. A scholar is included among the top collaborators of Alexa Price‐Whelan 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 Alexa Price‐Whelan. Alexa Price‐Whelan 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 3
3 14
4 7
5 2
6
Gradients and consequences of heterogeneity in biofilmsbreakdown →
158
7 12
8 66
9 39
10 183
11 74
12 95
13 37
14 58
15 224
16 124
17 115
18 349
19 256
20
The phenazine pyocyanin is a terminal signalling factor in the quorum sensing network of Pseudomonas aeruginosabreakdown →
564

About Alexa Price‐Whelan

Alexa Price‐Whelan is a scholar working on Endocrinology, Molecular Medicine and Genetics, having authored 39 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (32 papers), Bacterial Genetics and Biotechnology (18 papers) and Microbial Community Ecology and Physiology (9 papers). The work is most often cited by research in Molecular Medicine (600 citations), Endocrinology (425 citations) and Molecular Biology (2.6k citations). Alexa Price‐Whelan has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Lars E. P. Dietrich, Dianne K. Newman, Jeanyoung Jo, Ashley Petersen, Marvin Whiteley, Hassan Sakhtah, Tracy Teal, Chinweike Okegbe, William Cole Cornell and Ryan C. Hunter. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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