Beverly Chua

23 papers receiving 683 citations

Peers

Beverly Chua
Comparison fields: 5 of 102
  • Small Animals 170
  • Endocrine and Autonomic Systems 127
  • Animal Science and Zoology 120
  • Ecology 288
  • Genetics 237
Replace J. R. Waas with:
J. R. Waas New Zealand
Anne Berger Germany
Alina L. Evans Sweden
Robert de Bruijn United States
E. Jean Harper United Kingdom
V. A. Langman United States
Joan E. Bauman United States
Klaus M. Scheibe Germany
Kendall L. Mashburn United States
Michito Shimozuru Japan
Beverly Chua relative to J. R. Waas New Zealand J. R. Waas's profile →
Citations per field
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J. R. Waas · 1×
Citations per year

Countries citing papers authored by Beverly Chua

Since Specialization
Citations

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

Fields of papers citing papers by Beverly Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beverly Chua. 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 Beverly Chua. The network helps show where Beverly Chua may publish in the future.

Co-authors

The 25 scholars most cited alongside Beverly Chua, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beverly Chua Line = papers co-authored together Beverly Chua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002163
2 2015141
3 201260
4 201439
5 201237
6 201732
7 201631
8 201630
9 201729
10 202023
11 201719
12 201919
13 199918
14 199817
15 201910
16 201110
17 20188
18 20007
19 19934
20 20204

About Beverly Chua

Beverly Chua is a scholar working on Endocrine and Autonomic Systems, Ecology, Genetics, Ecology, Evolution, Behavior and Systematics and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 705 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (11 papers), High Altitude and Hypoxia (11 papers), Physiological and biochemical adaptations (8 papers), Avian ecology and behavior (6 papers), Neonatal Respiratory Health Research (4 papers), Travel-related health issues (4 papers), Bat Biology and Ecology Studies (4 papers) and Animal Behavior and Reproduction (3 papers). The work is most often cited by research in Small Animals (170 citations), Endocrine and Autonomic Systems (127 citations), Animal Science and Zoology (120 citations), Ecology (288 citations) and Genetics (237 citations). Beverly Chua has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Daniel M. Weary, William K. Milsom, E. W. C. Coenen, Graham R. Scott, Kevin G. McCracken, A. M. Perks, Julia M. York, Sabine L. Laguë, Charles M. Bishop and Nyambayar Batbayar. Their work appears in journals such as Journal of Experimental Biology, The FASEB Journal, Journal of Pharmaceutical Sciences, Proceedings of the Royal Society B Biological Sciences and American Journal of Obstetrics and Gynecology.

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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