T. Kenner

74 papers receiving 492 citations

Peers

T. Kenner
Comparison fields: 5 of 111
  • Nephrology 70
  • Endocrine and Autonomic Systems 66
  • Complementary and alternative medicine 52
  • Cardiology and Cardiovascular Medicine 124
  • Physiology 77
Replace H. F. Don with:
H. F. Don United States
N. K. Burki United States
N Atkins United States
J. M. Kinney United States
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T. Kenner relative to H. F. Don United States H. F. Don's profile →
Citations per field
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Citations per year

Countries citing papers authored by T. Kenner

Since Specialization
Citations

This map shows the geographic impact of T. Kenner'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 T. Kenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kenner more than expected).

Fields of papers citing papers by T. Kenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999106
2 199748
3 198735
4 198421
5 199618
6 199615
7 198815
8 198414
9
[The relation between the density of blood and the arterial pressure in animal experiments and in patients during hemodialysis (author's transl)].
197713
10 198212
11 199712
12 198012
13 199411
14 199711
15
Physiological measurement in circulation research. A review on the biological application of a new method.
198211
16
[Experimental studies on a tube model of impedance continuously increased toward the periphery].
196711
17
[Experimental studies on pulse forms and individual vibrations of 2-part tube models].
196210
18 19889
19 19829
20 19777

About T. Kenner

T. Kenner is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Physiology and Surgery, having authored 82 papers that have together received 549 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (15 papers), Neonatal Respiratory Health Research (12 papers), Infant Health and Development (6 papers), Heart Rate Variability and Autonomic Control (6 papers), Obstructive Sleep Apnea Research (4 papers), Spaceflight effects on biology (4 papers), Effects of Vibration on Health (4 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Nephrology (70 citations), Endocrine and Autonomic Systems (66 citations), Complementary and alternative medicine (52 citations), Cardiology and Cardiovascular Medicine (124 citations) and Physiology (77 citations). T. Kenner has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include M. Moser, Karl Pfeiffer, Daniel Schneditz, Gottfried Dohr, Leopold Dorfer, E. Egarter‐Vigl, E. Wetterer, Frank R. Bahr, Eugen Gallasch and R. Kurz. Their work appears in journals such as Basic Research in Cardiology, Journal of the American Society of Nephrology, Annals of the New York Academy of Sciences, European Journal of Pediatrics and IEEE Transactions on Biomedical Engineering.

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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