Tim Welborn

2.4k total citations · 2 hit papers
9 papers, 1.8k citations indexed

About

Tim Welborn is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tim Welborn has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tim Welborn's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Global Public Health Policies and Epidemiology (1 paper). Tim Welborn is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Global Public Health Policies and Epidemiology (1 paper). Tim Welborn collaborates with scholars based in Australia, United States and Belgium. Tim Welborn's co-authors include Ronald Klein, Maureen I Harris, Matthew Knuiman, Paul Zimmet, Adrian J. Cameron, Megan Dalton, J.E. Shaw, David W. Dunstan, D. Jolley and Jonathan E. Shaw and has published in prestigious journals such as Circulation, Diabetes Care and Journal of Internal Medicine.

In The Last Decade

Tim Welborn

9 papers receiving 1.7k citations

Hit Papers

Onset of NIDDM occurs at Least 4–7 yr Before Clinical Dia... 1992 2026 2003 2014 1992 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Welborn Australia 6 1.0k 409 330 300 268 9 1.8k
H. Gareeboo Australia 25 1.1k 1.1× 429 1.0× 287 0.9× 562 1.9× 450 1.7× 33 2.0k
H M Mather United Kingdom 23 887 0.9× 169 0.4× 261 0.8× 344 1.1× 188 0.7× 47 2.0k
Steven J. Bowlin United States 19 764 0.7× 345 0.8× 256 0.8× 240 0.8× 105 0.4× 27 1.9k
Judith K. Patterson United States 23 1.5k 1.5× 643 1.6× 650 2.0× 510 1.7× 604 2.3× 28 3.0k
Marina Trento Italy 26 1.4k 1.3× 184 0.4× 128 0.4× 662 2.2× 193 0.7× 70 2.3k
Krishna Gokhale United Kingdom 24 479 0.5× 252 0.6× 315 1.0× 320 1.1× 322 1.2× 56 1.9k
Ken Gu Singapore 9 993 1.0× 157 0.4× 498 1.5× 300 1.0× 129 0.5× 13 1.7k
Sabine Schipf Germany 25 856 0.8× 293 0.7× 317 1.0× 345 1.1× 260 1.0× 79 1.8k
Janine Roumain United States 12 1.0k 1.0× 595 1.5× 181 0.5× 341 1.1× 457 1.7× 15 2.7k
Jencia Wong Australia 28 1.2k 1.2× 255 0.6× 196 0.6× 278 0.9× 334 1.2× 77 2.8k

Countries citing papers authored by Tim Welborn

Since Specialization
Citations

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

Fields of papers citing papers by Tim Welborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Welborn

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

All Works

9 of 9 papers shown
1.
Huxley, Rachel, Federica Barzi, TH Lam, et al.. (2011). Isolated Low Levels of High-Density Lipoprotein Cholesterol Are Associated With an Increased Risk of Coronary Heart Disease. Circulation. 124(19). 2056–2064. 97 indexed citations
2.
Huxley, Rachel, Federica Barzi, TH Lam, et al.. (2011). Isolated low levels of high-density lipoprotein cholesterol are associated with an increased risk of coronary heart disease: an individual participant data meta-analysis of 23 studies in the Asia-Pacific region.. Own your potential (DEAKIN). 124(19). 2056–2082. 5 indexed citations
3.
Cameron, Adrian J., Dianna J. Magliano, Paul Zimmet, Tim Welborn, & Jonathan E. Shaw. (2007). The Metabolic Syndrome in Australia: Prevalence using four definitions. Diabetes Research and Clinical Practice. 77(3). 471–478. 124 indexed citations
4.
Lee, Crystal, Rachel Huxley, TH Lam, et al.. (2007). Prevalence of diabetes mellitus and population attributable fractions for coronary heart disease and stroke mortality in the WHO South-East Asia and Western Pacific regions.. PubMed. 16(1). 187–92. 62 indexed citations
5.
Dalton, Megan, Adrian J. Cameron, Paul Zimmet, et al.. (2003). Waist circumference, waist–hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults. Journal of Internal Medicine. 254(6). 555–563. 531 indexed citations breakdown →
6.
Harris, Maureen I, Ronald Klein, Tim Welborn, & Matthew Knuiman. (1992). Onset of NIDDM occurs at Least 4–7 yr Before Clinical Diagnosis. Diabetes Care. 15(7). 815–819. 976 indexed citations breakdown →
7.
Kamien, Max, et al.. (1986). Diabetes: adequate competent clinical review.. PubMed. 15(9). 1134–6. 1 indexed citations
8.
Masarei, J.R.L., D. H. Curnow, Kevin J. Cullen, et al.. (1971). Lipoprotein Electrophoretic Patterns, Serum Lipids, and Coronary Heart Disease. BMJ. 1(5740). 78–82. 12 indexed citations
9.
Welborn, Tim, et al.. (1968). THE CUNDERDIN DIABETES SURVEY, 1967: A PRELIMINARY REPORT. The Medical Journal of Australia. 2(19). 829–831. 4 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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