Kate N. Thomas

3.4k citations
75 papers · 2.5k indexed · h-index 26

Kate N. Thomas

72 papers receiving 2.5k citations

Peers

Kate N. Thomas
Comparison fields: 5 of 113
  • Endocrine and Autonomic Systems 341
  • Cardiology and Cardiovascular Medicine 1.1k
  • Neurology 661
  • Complementary and alternative medicine 277
  • Physiology 683
Replace Kurt J. Smith with:
Kurt J. Smith Canada
Peter Rasmussen Denmark
Patrice Brassard Canada
Anthony R. Bain Canada
Andrew W. Subudhi United States
Yu‐Chieh Tzeng New Zealand
Julian M. Stewart United States
Jorge M. Serrador United States
Nia C. S. Lewis Canada
R. Matthew Brothers United States
Kate N. Thomas relative to Kurt J. Smith Canada Kurt J. Smith's profile →
Citations per field
00.5×1.5×
Kurt J. Smith · 1×
Citations per year

Countries citing papers authored by Kate N. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Kate N. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate N. Thomas. 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 Kate N. Thomas. The network helps show where Kate N. Thomas may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20253
4 202211
5 202210
6 202210
7 202125
8 202010
9 201929
10 201924
11 201711
12 201644
13 20148
14
Manipulating cerebral blood flow affects central sleep apnoea at high altitude
20121
15 2012157
16 201013
17 201019
18 201084
19 20109
20 200929

About Kate N. Thomas

Kate N. Thomas is a scholar working on Endocrine and Autonomic Systems, Complementary and alternative medicine and Cardiology and Cardiovascular Medicine, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (19 papers), Neuroscience of respiration and sleep (16 papers), Thermoregulation and physiological responses (14 papers), Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Cardiovascular and exercise physiology (13 papers), High Altitude and Hypoxia (11 papers), Cardiovascular Syncope and Autonomic Disorders (10 papers) and Cardiovascular Health and Disease Prevention (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (341 citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Neurology (661 citations). Kate N. Thomas has collaborated with scholars based in New Zealand, Canada and United Kingdom. Frequent co-authors include Philip N. Ainslie, James D. Cotter, Samuel J. E. Lucas, Carissa Murrell, Michael Williams, André M. van Rij, Jui‐Lin Fan, Karen C. Peebles, Rebekah A. I. Lucas and Keith George. Their work appears in journals such as The Journal of Physiology, Journal of Applied Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, European Journal of Applied Physiology and Experimental Gerontology.

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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