Becky Conway-Campbell

38 papers receiving 2.1k citations

Hit Papers

Dynamics of ACTH and Cortisol Secretion and Implications ...2020202620222024202050100150200250

Peers

Becky Conway-Campbell
Comparison fields: 5 of 113
  • Behavioral Neuroscience 935
  • Endocrinology, Diabetes and Metabolism 785
  • Endocrine and Autonomic Systems 509
  • Molecular Biology 479
  • Social Psychology 348
Replace Francesca Spiga with:
Francesca Spiga United Kingdom
Carlos Arias United States
Stefan Berger Germany
Sharada Karanth United States
Milena Girotti United States
S. K. Quadri United States
Shinya Makino Japan
J. Golstein Belgium
Hernán E. Lara Chile
Hajime Watanobe Japan
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Citations per field
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Citations per year

Countries citing papers authored by Becky Conway-Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Becky Conway-Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Becky Conway-Campbell. 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 Becky Conway-Campbell. The network helps show where Becky Conway-Campbell may publish in the future.

Co-authorship network of co-authors of Becky Conway-Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Becky Conway-Campbell. A scholar is included among the top collaborators of Becky Conway-Campbell 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 Becky Conway-Campbell. Becky Conway-Campbell 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 23
2 4
3 7
4 0
5 16
6 39
7 10
8 11
9 24
10 39
11 105
12 57
13 12
14 268
15 175
16 64
17 26
18 29
19 24
20 45

About Becky Conway-Campbell

Becky Conway-Campbell is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (21 papers), Circadian rhythm and melatonin (12 papers) and Estrogen and related hormone effects (11 papers). The work is most often cited by research in Behavioral Neuroscience (935 citations), Endocrine and Autonomic Systems (509 citations) and Biological Psychiatry (143 citations). Becky Conway-Campbell has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Stafford L. Lightman, Matthew T. Birnie, John R. Pooley, Mervyn McKenna, Gordon L. Hager, E. R. de Kloet, Simon C. Biddie, Helen C. Atkinson, Crispin C. Wiles and Michael J. Waters. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature reviews. Neuroscience.

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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