Garry John

483 total citations
10 papers, 338 citations indexed

About

Garry John is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Garry John has authored 10 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Garry John's work include Diabetes Management and Research (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers). Garry John is often cited by papers focused on Diabetes Management and Research (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers). Garry John collaborates with scholars based in United Kingdom, Sweden and United States. Garry John's co-authors include Ragnar Hanås, Emma English, Cas Weykamp, Izumi Takei, Randie R. Little, Erna Lenters‐Westra, Philippe Gillery, Linong Ji, David B. Sacks and Gojka Roglić and has published in prestigious journals such as Diabetes Care, Clinical Chemistry and Diabetic Medicine.

In The Last Decade

Garry John

10 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Garry John United Kingdom 9 226 68 61 53 51 10 338
Gemma Rodríguez-Carnero Spain 9 133 0.6× 30 0.4× 91 1.5× 58 1.1× 53 1.0× 25 294
Linda Thurby-Hay United States 5 230 1.0× 100 1.5× 35 0.6× 59 1.1× 52 1.0× 6 370
Amber Hull United States 4 172 0.8× 79 1.2× 68 1.1× 40 0.8× 74 1.5× 4 333
Yuanfei Zhao China 8 133 0.6× 19 0.3× 24 0.4× 32 0.6× 27 0.5× 18 260
Sergio Di Molfetta Italy 11 241 1.1× 89 1.3× 29 0.5× 37 0.7× 110 2.2× 38 371
JH Barth United Kingdom 9 87 0.4× 31 0.5× 38 0.6× 57 1.1× 23 0.5× 19 334
Michael Radin United States 6 191 0.8× 58 0.9× 80 1.3× 88 1.7× 56 1.1× 11 381
Aneta Aleksandra Nielsen Denmark 8 55 0.2× 62 0.9× 55 0.9× 56 1.1× 33 0.6× 12 199
AH Heald United Kingdom 9 202 0.9× 14 0.2× 44 0.7× 81 1.5× 43 0.8× 17 305
Doğuş Vurallı Türkiye 11 101 0.4× 52 0.8× 33 0.5× 122 2.3× 83 1.6× 39 373

Countries citing papers authored by Garry John

Since Specialization
Citations

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

Fields of papers citing papers by Garry John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garry John

This figure shows the co-authorship network connecting the top 25 collaborators of Garry John. A scholar is included among the top collaborators of Garry John 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 Garry John. Garry John is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Weykamp, Cas, Garry John, Philippe Gillery, et al.. (2015). Investigation of 2 Models to Set and Evaluate Quality Targets for Hb A1c: Biological Variation and Sigma-Metrics. Clinical Chemistry. 61(5). 752–759. 57 indexed citations
2.
John, Garry, et al.. (2014). In vitro determination of hemoglobin A1c for diabetes diagnosis and management: technology update. UEA Digital Repository (University of East Anglia). 21–21. 8 indexed citations
3.
John, Garry & Emma English. (2012). IFCC standardised HbA1c: should the world be as one?. Clinical Chemistry and Laboratory Medicine (CCLM). 50(7). 1243–1248. 11 indexed citations
4.
Hanås, Ragnar & Garry John. (2010). 2010 Consensus Statement on the Worldwide Standardization of the Hemoglobin A1c Measurement. Clinical Chemistry. 56(8). 1362–1364. 41 indexed citations
5.
Hanås, Ragnar & Garry John. (2010). 2010 Consensus Statement on the Worldwide Standardization of the Hemoglobin A1c Measurement. Diabetic Medicine. 27(7). 737–738. 15 indexed citations
6.
Hanås, Ragnar & Garry John. (2010). 2010 Consensus Statement on the Worldwide Standardization of the Hemoglobin A1C Measurement. Diabetes Care. 33(8). 1903–1904. 164 indexed citations
7.
Hanås, Ragnar & Garry John. (2010). 2010 Consensus statement on the worldwide standardization of the hemoglobin A1c measurement. Diabetes Research and Clinical Practice. 90(2). 228–230. 23 indexed citations
8.
Hanås, Ragnar & Garry John. (2010). 2010 consensus statement on the worldwide standardization of the hemoglobin A1c measurement. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 47(4). 290–291. 2 indexed citations
9.
Hanås, Ragnar & Garry John. (2010). 2010 Consensus statement on the worldwide standardization of the hemoglobin A1c measurement. Clinical Chemistry and Laboratory Medicine (CCLM). 48(6). 775–776. 8 indexed citations
10.
Hanås, Ragnar & Garry John. (2009). 2010 Consensus Statement on the Worldwide Standardization of the Hemoglobin A1c Measurement. Pediatric Diabetes. 11(4). 209–211. 9 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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