Margaret E. Daley

1.4k citations
15 papers · 1.1k indexed · h-index 12
Topics
Physiological and biochemical adaptations (7 papers)Neurobiology and Insect Physiology Research (5 papers)Bacterial Genetics and Biotechnology (3 papers)
Partner nations
CanadaUnited StatesSpain

In The Last Decade

Margaret E. Daley

15 papers receiving 1.1k citations

Peers

Margaret E. Daley
Comparison fields: 5 of 82
  • Genetics 437
  • Molecular Biology 427
  • Ecology 342
  • Endocrinology 267
  • Food Science 231
Replace Tomoko Yamamoto with:
Tomoko Yamamoto Japan
James E. Berleman United States
Virgil A. Rhodius United States
Rut Carballido‐López France
Marc Bramkamp Germany
Anna Lopatina Russia
Stephen G. Addinall United Kingdom
Patrick J. Piggot United States
Sander K. Govers Belgium
Andreas Diepold Germany
Margaret E. Daley relative to Tomoko Yamamoto Japan Tomoko Yamamoto's profile →
Citations per field
00.5×1.5×
Tomoko Yamamoto · 1×
Citations per year

Countries citing papers authored by Margaret E. Daley

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. Daley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. Daley. 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 Margaret E. Daley. The network helps show where Margaret E. Daley may publish in the future.

Co-authorship network of co-authors of Margaret E. Daley

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 28
3 37
4 225
5 16
6 432
7 107
8 11
9 13
10 80
11 28
12 62
13 53
14 46
15 6

About Margaret E. Daley

Margaret E. Daley is a scholar working on Aging, Microbiology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (7 papers), Neurobiology and Insect Physiology Research (5 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Endocrinology (267 citations), Molecular Medicine (167 citations) and Microbiology (154 citations). Margaret E. Daley has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Rachel E. Klevit, Samuel I. Miller, Martin W. Bader, Hervé Le Moual, Brian D. Sykes, Uhn‐Soo Cho, Wenqing Xu, Peter L. Davies, Anna R. Schneider and Sarah Sanowar. Their work appears in journals such as Cell, Molecular Cell and Journal of Molecular Biology.

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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