Ken Sharpe

73 papers receiving 2.8k citations

Peers

Ken Sharpe
Comparison fields: 5 of 158
  • Hematology 535
  • Endocrinology, Diabetes and Metabolism 750
  • Orthopedics and Sports Medicine 201
  • Cell Biology 377
  • Rehabilitation 127
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Iftikhar J. Kullo United States
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Citations per field
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Citations per year

Countries citing papers authored by Ken Sharpe

Since Specialization
Citations

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

Fields of papers citing papers by Ken Sharpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008354
2 1994187
3
Second-generation blood tests to detect erythropoietin abuse by athletes.
2003156
4 2008155
5 2013138
6 2004122
7
Detection of recombinant human erythropoietin abuse in athletes utilizing markers of altered erythropoiesis.
2001117
8 201699
9
Reliability and accuracy of six hand-held blood lactate analysers.
201597
10 197995
11 201086
12
A third generation approach to detect erythropoietin abuse in athletes.
200685
13
Development of reference ranges in elite athletes for markers of altered erythropoiesis.
200281
14 201179
15 200578
16 201267
17
Proof of homologous blood transfusion through quantification of blood group antigens.
200359
18 199658
19 200854
20 200949

About Ken Sharpe

Ken Sharpe is a scholar working on Hematology, Endocrinology, Diabetes and Metabolism, Physiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 78 papers that have together received 3.0k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (13 papers), Hormonal and reproductive studies (8 papers), Thermoregulation and physiological responses (5 papers), High Altitude and Hypoxia (4 papers), Sports Performance and Training (4 papers), Muscle metabolism and nutrition (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Cardiovascular and exercise physiology (3 papers). The work is most often cited by research in Hematology (535 citations), Endocrinology, Diabetes and Metabolism (750 citations), Orthopedics and Sports Medicine (201 citations), Cell Biology (377 citations) and Rehabilitation (127 citations). Ken Sharpe has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Christopher J. Gore, Michael Ashenden, Allan G. Hahn, Merlin C. Thomas, Richard J. MacIsaac, George Jerums, Mathis Grossmann, Jeffrey D. Zajac, Rob J. Pierce and Janet M. Copland. Their work appears in journals such as Medicine & Science in Sports & Exercise, Drug Testing and Analysis, International Journal of Sports Medicine, British Journal of Sports Medicine and Advances in Applied Probability.

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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