Kay Mitchell

47 papers receiving 820 citations

Peers

Kay Mitchell
Comparison fields: 5 of 118
  • Endocrine and Autonomic Systems 94
  • Genetics 305
  • Critical Care and Intensive Care Medicine 34
  • Physiology 134
  • Radiological and Ultrasound Technology 25
Replace Yves Ouellette with:
Yves Ouellette United States
Debra Lynch Kelly United States
Kai König Australia
Jos J. M. Slangen Netherlands
M E Beth Smith United States
Martin Watson Norway
Mehmet Karadağ Türkiye
Lucas M. Donovan United States
Eva Feigerlová France
Kay Mitchell relative to Yves Ouellette United States Yves Ouellette's profile →
Citations per field
00.5×10×12.7×
Yves Ouellette · 1×
Citations per year

Countries citing papers authored by Kay Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Kay Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011100
2
A phase II study of razoxane, an antiangiogenic topoisomerase II inhibitor, in renal cell cancer with assessment of potential surrogate markers of angiogenesis.
200055
3 202149
4 201442
5 201740
6 201038
7 201938
8 201436
9 200334
10 200931
11 201728
12 202024
13 201022
14 201922
15 201021
16 201221
17 201220
18 201618
19 201716
20 201916

About Kay Mitchell

Kay Mitchell is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Clinical Psychology and Surgery, having authored 48 papers that have together received 849 indexed citations. Recurring topics across this work include High Altitude and Hypoxia (17 papers), Palliative Care and End-of-Life Issues (8 papers), Patient Dignity and Privacy (5 papers), Neuroscience of respiration and sleep (5 papers), Grief, Bereavement, and Mental Health (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Infection Control and Ventilation (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (94 citations), Genetics (305 citations), Critical Care and Intensive Care Medicine (34 citations), Physiology (134 citations) and Radiological and Ultrasound Technology (25 citations). Kay Mitchell has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Daniel Martín, Michael P. W. Grocott, Denny Levett, Monty Mythen, Hugh Montgomery, Martin Feelisch, Bernadette Fernandez, Edward T. Gilbert-Kawai, Mark H. Wilson and Can İnce. Their work appears in journals such as Scientific Reports, Nitric Oxide, High Altitude Medicine & Biology, Intensive and Critical Care Nursing and Redox Biology.

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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