Michael P. Cornes

2.4k total citations
48 papers, 1.4k citations indexed

About

Michael P. Cornes is a scholar working on Physiology, Statistics, Probability and Uncertainty and General Health Professions. According to data from OpenAlex, Michael P. Cornes has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Physiology, 19 papers in Statistics, Probability and Uncertainty and 10 papers in General Health Professions. Recurrent topics in Michael P. Cornes's work include Clinical Laboratory Practices and Quality Control (36 papers), Meta-analysis and systematic reviews (18 papers) and Healthcare cost, quality, practices (10 papers). Michael P. Cornes is often cited by papers focused on Clinical Laboratory Practices and Quality Control (36 papers), Meta-analysis and systematic reviews (18 papers) and Healthcare cost, quality, practices (10 papers). Michael P. Cornes collaborates with scholars based in United Kingdom, Denmark and Italy. Michael P. Cornes's co-authors include Mads Nybo, Ana-Maria Šimundić, Giuseppe Lippi, Kjell Grankvist, Rousseau Gama, Clare Ford, Gunn B.B. Kristensen, Mercè Ibarz, Janne Cadamuro and Alexander Meyer and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Journal of Clinical Pathology.

In The Last Decade

Michael P. Cornes

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael P. Cornes United Kingdom 23 852 457 196 172 166 48 1.4k
Carmen Ricós Spain 27 1.4k 1.7× 794 1.7× 318 1.6× 47 0.3× 67 0.4× 74 2.3k
Gabriel Lima-Oliveira Italy 23 929 1.1× 382 0.8× 146 0.7× 35 0.2× 112 0.7× 58 1.4k
İbrahim Ünsal Türkiye 22 453 0.5× 200 0.4× 225 1.1× 71 0.4× 17 0.1× 70 1.4k
Carmen Perich Spain 20 752 0.9× 424 0.9× 178 0.9× 23 0.1× 38 0.2× 41 1.2k
Robert C. Hawkins Singapore 15 370 0.4× 175 0.4× 191 1.0× 22 0.1× 64 0.4× 45 1.2k
Clare Ford United Kingdom 17 222 0.3× 78 0.2× 109 0.6× 189 1.1× 73 0.4× 67 885
George S. Cembrowski Canada 22 550 0.6× 271 0.6× 192 1.0× 17 0.1× 71 0.4× 104 1.7k
Annalise E. Zemlin South Africa 17 257 0.3× 109 0.2× 93 0.5× 33 0.2× 62 0.4× 75 1.0k
Ana K. Stanković United States 20 671 0.8× 344 0.8× 89 0.5× 11 0.1× 91 0.5× 34 1.3k
Joana Minchinela Spain 16 621 0.7× 337 0.7× 147 0.8× 22 0.1× 22 0.1× 34 996

Countries citing papers authored by Michael P. Cornes

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Cornes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Cornes. 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 Michael P. Cornes. The network helps show where Michael P. Cornes may publish in the future.

Co-authorship network of co-authors of Michael P. Cornes

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Cornes. A scholar is included among the top collaborators of Michael P. Cornes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael P. Cornes. Michael P. Cornes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cornes, Michael P., Pieter Vermeersch, Ana-Maria Šimundić, et al.. (2024). The final part of the CRESS trilogy – how to evaluate the quality of stability studies. Clinical Chemistry and Laboratory Medicine (CCLM). 62(11). 2128–2139. 1 indexed citations
2.
Rioja, Rubén Gómez, Alexander Meyer, Michael P. Cornes, et al.. (2023). Recommendation for the design of stability studies on clinical specimens. Clinical Chemistry and Laboratory Medicine (CCLM). 61(10). 1708–1718. 22 indexed citations
3.
Cadamuro, Janne, Geoffrey S. Baird, Karin Bölenius, et al.. (2022). Preanalytical quality improvement – an interdisciplinary journey. Clinical Chemistry and Laboratory Medicine (CCLM). 60(5). 662–668. 10 indexed citations
4.
Ibarz, Mercè, Janne Cadamuro, Zorica Šumarac, et al.. (2020). Clinicians’ and laboratory medicine specialists’ views on laboratory demand management: a survey in nine European countries. Diagnosis. 8(1). 111–119. 7 indexed citations
5.
Mrazek, Cornelia, Ana-Maria Šimundić, María Salinas, et al.. (2020). Inappropriate use of laboratory tests: How availability triggers demand – Examples across Europe. Clinica Chimica Acta. 505. 100–107. 25 indexed citations
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Cornes, Michael P., et al.. (2018). Blood sampling guidelines with focus on patient safety and identification – a review. Diagnosis. 6(1). 33–37. 13 indexed citations
9.
Cadamuro, Janne, Mercè Ibarz, Michael P. Cornes, et al.. (2018). Managing inappropriate utilization of laboratory resources. Diagnosis. 6(1). 5–13. 40 indexed citations
10.
Nybo, Mads, Janne Cadamuro, Michael P. Cornes, Rubén Gómez Rioja, & Kjell Grankvist. (2018). Sample transportation – an overview. Diagnosis. 6(1). 39–43. 22 indexed citations
11.
Cornes, Michael P., et al.. (2017). The impact of between analytical platform variability on the classification of pleural effusions into exudate or transudate using Light's criteria. Journal of Clinical Pathology. 70(7). 607–609. 5 indexed citations
12.
Lippi, Giuseppe, Geoffrey S. Baird, Giuseppe Banfi, et al.. (2017). Improving quality in the preanalytical phase through innovation, on behalf of the European Federation for Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for Preanalytical Phase (WG-PRE). Clinical Chemistry and Laboratory Medicine (CCLM). 55(4). 489–500. 39 indexed citations
13.
Cornes, Michael P., Edmée van Dongen-Lases, Kjell Grankvist, et al.. (2016). Order of blood draw: Opinion Paper by the European Federation for Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for the Preanalytical Phase (WG-PRE). Clinical Chemistry and Laboratory Medicine (CCLM). 55(1). 27–31. 48 indexed citations
14.
Cornes, Michael P.. (2016). Exogenous sample contamination. Sources and interference. Clinical Biochemistry. 49(18). 1340–1345. 12 indexed citations
15.
Cornes, Michael P., et al.. (2015). Salivary cortisol and cortisone responses to tetracosactrin (synacthen). Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 52(5). 606–610. 25 indexed citations
16.
Waldron, Jenna Louise, Helen Ashby, Michael P. Cornes, et al.. (2013). Vitamin D: a negative acute phase reactant. Journal of Clinical Pathology. 66(7). 620–622. 198 indexed citations
17.
Šimundić, Ana-Maria, Michael P. Cornes, Kjell Grankvist, Giuseppe Lippi, & Mads Nybo. (2013). Standardization of collection requirements for fasting samples. Clinica Chimica Acta. 432. 33–37. 107 indexed citations
18.
Cornes, Michael P., Clare Ford, & Rousseau Gama. (2010). The lactate gap revisited: variable interference with lactate analyses in ethylene glycol poisoning. British Journal of Biomedical Science. 67(3). 148–150.
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20.
Ward, Douglas G., Michael P. Cornes, & Ian P. Trayer. (2002). Structural Consequences of Cardiac Troponin I Phosphorylation. Journal of Biological Chemistry. 277(44). 41795–41801. 29 indexed citations

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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