Andrew St John

82 papers receiving 2.1k citations

Peers

Andrew St John
Comparison fields: 5 of 163
  • Nephrology 266
  • Bioengineering 141
  • Statistics, Probability and Uncertainty 176
  • Orthopedics and Sports Medicine 169
  • Family Practice 38
Replace Gary L. Horowitz with:
Gary L. Horowitz United States
James W. Winkelman United States
Tony Badrick Australia
Mads Nybo Denmark
Graham Jones Australia
Callum G. Fraser United Kingdom
Rajiv T. Erasmus South Africa
Donald R. Wybenga United States
Curtiss B. Cook United States
Jean‐Pierre Bassand France
Andrew St John relative to Gary L. Horowitz United States Gary L. Horowitz's profile →
Citations per field
00.5×11.3×
Gary L. Horowitz · 1×
Citations per year

Countries citing papers authored by Andrew St John

Since Specialization
Citations

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

Fields of papers citing papers by Andrew St John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew St John. 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 Andrew St John. The network helps show where Andrew St John may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20214
4 201733
5 201640
6 201423
7 20143
8 201216
9 200961
10 200947
11 200618
12
Connectivity: the key to point-of-care testing.
20041
13 199962
14 199622
15 19956
16 199322
17 199251
18 19912
19 19886
20 198825

About Andrew St John

Andrew St John is a scholar working on Statistics, Probability and Uncertainty, Nephrology, Medical Laboratory Technology, General Health Professions and Health Information Management, having authored 83 papers that have together received 2.2k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (20 papers), Healthcare cost, quality, practices (20 papers), Meta-analysis and systematic reviews (9 papers), Clinical Laboratory Practices and Quality Control (9 papers), Parathyroid Disorders and Treatments (6 papers), Clinical practice guidelines implementation (6 papers), Vitamin D Research Studies (5 papers) and Health and Medical Research Impacts (5 papers). The work is most often cited by research in Nephrology (266 citations), Bioengineering (141 citations), Statistics, Probability and Uncertainty (176 citations), Orthopedics and Sports Medicine (169 citations) and Family Practice (38 citations). Andrew St John has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Christopher P. Price, Tony Badrick, Goce Dimeski, Timothy M. E. Davis, Andrea R. Horvath, Christa M. Cobbaert, Sarah J. Lord, Phillip J. Monaghan, Sverre Sandberg and Patrick M. Bossuyt. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Clinical Pathology, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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