Finlay MacKenzie

1.8k citations
43 papers · 1.2k · h-index 20

Impact in

Papers in

Finlay MacKenzie

38 papers receiving 1.2k citations

Peers

Finlay MacKenzie
Comparison fields: 5 of 100
  • Statistics, Probability and Uncertainty 187
  • Nephrology 148
  • Endocrinology, Diabetes and Metabolism 336
  • Physiology 307
  • Statistics and Probability 89
Replace Ole Blaabjerg with:
Ole Blaabjerg Denmark
Nora Nikolac Croatia
Eric S Kilpatrick United Kingdom
H Baadenhuijsen Netherlands
Virtudes Álvarez Spain
Fernando Cava Spain
Joana Minchinela Spain
Ari Lahti Norway
Bhawna Singh India
Jean-Claude Libeer Belgium
Finlay MacKenzie relative to Ole Blaabjerg Denmark Ole Blaabjerg's profile →
Citations per field
00.5×9.7×
Ole Blaabjerg · 1×
Citations per year

Countries citing papers authored by Finlay MacKenzie

Since Specialization
Citations

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

Fields of papers citing papers by Finlay MacKenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009190
2 2018103
3 201896
4 201776
5 202175
6 201768
7 201451
8 201749
9 201849
10 200741
11 201338
12 201735
13 201333
14 201527
15 201925
16 202225
17 201022
18 201922
19 202021
20 202220

About Finlay MacKenzie

Finlay MacKenzie is a scholar working on Statistics, Probability and Uncertainty, Physiology, Endocrinology, Diabetes and Metabolism, Surgery and Nephrology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (10 papers), Hormonal and reproductive studies (7 papers), Scientific Measurement and Uncertainty Evaluation (7 papers), Hemodynamic Monitoring and Therapy (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Thyroid Disorders and Treatments (3 papers), Statistical Methods in Clinical Trials (3 papers) and Meta-analysis and systematic reviews (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (187 citations), Nephrology (148 citations), Endocrinology, Diabetes and Metabolism (336 citations), Physiology (307 citations) and Statistics and Probability (89 citations). Finlay MacKenzie has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Edmund J. Lamb, Paul E. Stevens, Mauro Panteghini, W. Greg Miller, Geoff Beckett, Thomas Keller, Vincent Delatour, Heinz Schimmel, Cas Weykamp and Neil Greenberg. Their work appears in journals such as Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta and Clinical Endocrinology.

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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