Don Cates

1.0k citations
40 papers · 693 · h-index 17

Impact in

Papers in

Don Cates

40 papers receiving 661 citations

Peers

Don Cates
Comparison fields: 5 of 69
  • Endocrine and Autonomic Systems 566
  • Pulmonary and Respiratory Medicine 508
  • Pharmacy 64
  • Pediatrics, Perinatology and Child Health 169
  • Physiology 120
Replace Debra E. Weese‐Mayer with:
Debra E. Weese‐Mayer United States
Lilia Curzi‐Dascalova France
Roger B. Baldwin United States
Kim Kwiatkowski Canada
Frances McNamara Australia
Pallavi P. Patwari United States
Charles A. Bryan Canada
U M MacFadyen United Kingdom
Cathy Worwa United States
K. J. Omlin United States
Don Cates relative to Debra E. Weese‐Mayer United States Debra E. Weese‐Mayer's profile →
Citations per field
00.5×1.5×
Debra E. Weese‐Mayer · 1×
Citations per year

Countries citing papers authored by Don Cates

Since Specialization
Citations

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

Fields of papers citing papers by Don Cates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Don Cates, 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 Don Cates Line = papers co-authored together Don Cates links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200468
2 200556
3 198250
4 198547
5 197943
6 197942
7 198739
8 198135
9 199831
10 199025
11 200819
12 199818
13 199417
14 197917
15 198017
16 200116
17 198116
18 201115
19 198813
20 200113

About Don Cates

Don Cates is a scholar working on Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Pharmacy and Physiology, having authored 40 papers that have together received 693 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (38 papers), Neonatal Respiratory Health Research (33 papers), Respiratory Support and Mechanisms (14 papers), Infant Health and Development (6 papers), Infant Development and Preterm Care (6 papers), Obstructive Sleep Apnea Research (6 papers), Neonatal and fetal brain pathology (5 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (566 citations), Pulmonary and Respiratory Medicine (508 citations), Pharmacy (64 citations), Pediatrics, Perinatology and Child Health (169 citations) and Physiology (120 citations). Don Cates has collaborated with scholars based in Canada, Israel and France. Frequent co-authors include Henrique Rigatto, Kim Kwiatkowski, Mansour Qurashi, Ruben Alvaro, Koravangattu Sankaran, Manuel Durand, Zarin Kalapesi, Akram Khan, Robert P. Lemke and Abdulrahman Al-Matary. Their work appears in journals such as Pediatric Research, Journal of Applied Physiology, The Journal of Pediatrics, Early Human Development and Reproduction Fertility and Development.

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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