Carol May

583 citations
12 papers · 467 · h-index 11

Impact in

Papers in

    • Hemodynamic Monitoring and Therapy 4
    • Acute Kidney Injury Research 3
    • Renal function and acid-base balance 2

Carol May

12 papers receiving 459 citations

Peers

Carol May
Comparison fields: 5 of 72
  • Behavioral Neuroscience 156
  • Nephrology 167
  • Critical Care and Intensive Care Medicine 74
  • Biological Psychiatry 24
  • Endocrinology, Diabetes and Metabolism 77
Replace Clara Odilia Sailer with:
Clara Odilia Sailer Switzerland
Nicolaas T. Malan South Africa
Andrew E. Luckey United States
R. N. Barton United Kingdom
Sisir K. Majumdar United States
B Pontiggia Italy
E. W. Jensen Denmark
César Augusto Arango-Dávila Colombia
Mateus Camaroti Laterza Brazil
Gert Jan Scheffer Netherlands
Carol May relative to Clara Odilia Sailer Switzerland Clara Odilia Sailer's profile →
Citations per field
00.5×5.6×
Clara Odilia Sailer · 1×
Citations per year

Countries citing papers authored by Carol May

Since Specialization
Citations

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

Fields of papers citing papers by Carol May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1997158
2 200671
3 201769
4 201439
5 199930
6 200623
7 197418
8 200717
9 199416
10 200413
11 199411
12 20042

About Carol May

Carol May is a scholar working on Surgery, Nephrology, Physiology, Critical Care and Intensive Care Medicine and Social Psychology, having authored 12 papers that have together received 467 indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (4 papers), Acute Kidney Injury Research (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers), Renal function and acid-base balance (2 papers), Stress Responses and Cortisol (2 papers), Neuroendocrine regulation and behavior (2 papers), Biochemical effects in animals (2 papers) and Second Language Learning and Teaching (1 paper). The work is most often cited by research in Behavioral Neuroscience (156 citations), Nephrology (167 citations), Critical Care and Intensive Care Medicine (74 citations), Biological Psychiatry (24 citations) and Endocrinology, Diabetes and Metabolism (77 citations). Carol May has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Rinaldo Bellomo, David G. Parkes, Joan Vaughan, W. Vale, Li Wan, Paolo Calzavacca, Christoph Langenberg, Sean M. Bagshaw, Moritoki Egi and David Di Giantomasso. Their work appears in journals such as Nephrology Dialysis Transplantation, Anaesthesia and Intensive Care, Acta Physiologica, Endocrinology and Journal of Cardiovascular Pharmacology.

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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