Trefor Higgins

1.8k total citations
70 papers, 1.2k citations indexed

About

Trefor Higgins is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Hematology. According to data from OpenAlex, Trefor Higgins has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 21 papers in Endocrinology, Diabetes and Metabolism and 19 papers in Hematology. Recurrent topics in Trefor Higgins's work include Hemoglobinopathies and Related Disorders (20 papers), Diabetes Management and Research (18 papers) and Iron Metabolism and Disorders (14 papers). Trefor Higgins is often cited by papers focused on Hemoglobinopathies and Related Disorders (20 papers), Diabetes Management and Research (18 papers) and Iron Metabolism and Disorders (14 papers). Trefor Higgins collaborates with scholars based in Canada, United States and United Kingdom. Trefor Higgins's co-authors include George S. Cembrowski, Laurence A. Cole, Annu Khajuria, Karina Rodríguez-Capote, Cas Weykamp, Randie R. Little, Curt L. Rohlfing, B.W. Ridley, Andrew W. Lyon and Shawn Connolly and has published in prestigious journals such as Clinical Chemistry, Clinica Chimica Acta and American Journal of Clinical Pathology.

In The Last Decade

Trefor Higgins

66 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trefor Higgins Canada 19 398 385 320 205 171 70 1.2k
Amanda Nicoll Australia 24 524 1.3× 162 0.4× 639 2.0× 177 0.9× 38 0.2× 92 2.1k
Tar Choon Aw Singapore 20 104 0.3× 326 0.8× 101 0.3× 101 0.5× 74 0.4× 116 1.4k
Danyelle Romana Alves Rios Brazil 18 120 0.3× 74 0.2× 243 0.8× 75 0.4× 134 0.8× 68 1.1k
Ole Blaabjerg Denmark 20 74 0.2× 287 0.7× 135 0.4× 363 1.8× 43 0.3× 62 1.3k
A. van den Ende Netherlands 16 58 0.1× 245 0.6× 301 0.9× 93 0.5× 68 0.4× 42 1.4k
Florence N. Hutchison United States 21 85 0.2× 185 0.5× 82 0.3× 127 0.6× 84 0.5× 42 1.2k
Jung Hun Ohn South Korea 15 45 0.1× 184 0.5× 206 0.6× 121 0.6× 64 0.4× 57 963
Donna Skee United States 16 257 0.6× 255 0.7× 173 0.5× 29 0.1× 55 0.3× 26 959
P Cartier France 22 109 0.3× 158 0.4× 310 1.0× 249 1.2× 132 0.8× 87 2.0k
Peter Felding Denmark 19 65 0.2× 100 0.3× 118 0.4× 328 1.6× 52 0.3× 36 1.0k

Countries citing papers authored by Trefor Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Trefor Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trefor Higgins

This figure shows the co-authorship network connecting the top 25 collaborators of Trefor Higgins. A scholar is included among the top collaborators of Trefor Higgins 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 Trefor Higgins. Trefor Higgins 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.
Gifford, Jessica L., Trefor Higgins, & S.M. Hossein Sadrzadeh. (2019). A high-throughput test for diabetes care: An evaluation of the next generation Roche Cobas c 513 hemoglobin A1C assay. Practical Laboratory Medicine. 17. e00147–e00147. 3 indexed citations
2.
Lam, Grace Y., Karina Rodríguez-Capote, Trefor Higgins, et al.. (2017). The use of fructosamine in cystic fibrosis-related diabetes (CFRD) screening. Journal of Cystic Fibrosis. 17(1). 121–124. 12 indexed citations
3.
Tsui, Albert K.Y., et al.. (2017). Now you see it, now you don't: A case of covert (invisible) IgM. Clinical Biochemistry. 51. 101–102. 2 indexed citations
4.
Rohlfing, Curt L., Steven Hanson, Cas Weykamp, et al.. (2016). Effects of hemoglobin C, D, E and S traits on measurements of hemoglobin A1c by twelve methods. Clinica Chimica Acta. 455. 80–83. 32 indexed citations
5.
Rodríguez-Capote, Karina & Trefor Higgins. (2015). Incidence of hemoglobinopathies and thalassemias in Northern Alberta. Establishment of reference intervals for HbF and HbA2. Clinical Biochemistry. 48(10-11). 698–702. 6 indexed citations
6.
Rodríguez-Capote, Karina, et al.. (2015). A novel double heterozygous Hb Fontainebleau/HbD Punjab hemoglobinopathy. Clinical Biochemistry. 48(13-14). 904–907. 3 indexed citations
7.
Higgins, Trefor. (2012). HbA1c for screening and diagnosis of diabetes mellitus. Endocrine. 43(2). 266–273. 58 indexed citations
8.
Cole, Laurence A., Stephen Hamilton‐Dutoit, & Trefor Higgins. (2011). Total hCG tests. Clinica Chimica Acta. 412(23-24). 2216–2222. 30 indexed citations
9.
Higgins, Trefor, et al.. (2011). A novel double heterozygous, HbD Punjab/HbQ India, hemoglobinopathy. Clinical Biochemistry. 45(3). 264–266. 11 indexed citations
10.
Higgins, Trefor, et al.. (2009). Comparison of two methods for the quantification and identification of hemoglobin variants. Clinical Biochemistry. 42(7-8). 701–705. 34 indexed citations
11.
Higgins, Trefor, et al.. (2009). Quantification of HbA2in Patients With and Without β-Thalassemia and in the Presence of HbS, HbC, HbE, and HbD Punjab Hemoglobin Variants. American Journal of Clinical Pathology. 131(3). 357–362. 27 indexed citations
12.
Higgins, Trefor, et al.. (2008). Challenges in HbA1c analysis and reporting: An interesting case illustrating the many pitfalls. Clinical Biochemistry. 41(13). 1104–1106. 12 indexed citations
13.
Higgins, Trefor. (2007). QA aspects for HbA1c measurements. Clinical Biochemistry. 41(1-2). 88–90. 8 indexed citations
14.
Higgins, Trefor, et al.. (2005). Improved resolution of serum bisalbumin on electrophoresis and investigation of bisalbumin in urine. Clinical Biochemistry. 38(7). 654–658. 2 indexed citations
15.
Cole, Laurence A., et al.. (2004). Between-Method Variation in Human Chorionic Gonadotropin Test Results. Clinical Chemistry. 50(5). 874–882. 70 indexed citations
16.
Higgins, Trefor, et al.. (2003). Measurement of inaccuracy and imprecision of HCG methods using dilutions of the WHO 4th IS-HCG standard and a pregnant patient's serum. Clinical Biochemistry. 37(2). 152–154. 10 indexed citations
17.
Higgins, Trefor. (2003). Use of Glucose Meters to Establish a Cutpoint for Nonperformance of an Oral Glucose Tolerance Test. Point of Care The Journal of Near-Patient Testing & Technology. 2(1). 12–13. 2 indexed citations
18.
Higgins, Trefor, et al.. (2001). Analytical evaluation of the Bio-Rad Variant II automated HbA1C analyzer. Clinical Biochemistry. 34(5). 361–365. 26 indexed citations
19.
Higgins, Trefor, et al.. (1998). Comparison of hemoglobin A1C results by two different methods on patients with structural hemoglobin variants. Clinical Biochemistry. 31(8). 619–626. 18 indexed citations
20.
Higgins, Trefor, J. B. Wilson, Lisha Gu, et al.. (1992). Short Communication a Canadian Family with HB Wayne; Characterization by HPLC and DNA Sequencing. Hemoglobin. 16(6). 515–519. 6 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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