J. H. Fuller

5.6k total citations · 1 hit paper
58 papers, 4.0k citations indexed

About

J. H. Fuller is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, J. H. Fuller has authored 58 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Endocrinology, Diabetes and Metabolism, 19 papers in Cardiology and Cardiovascular Medicine and 11 papers in Surgery. Recurrent topics in J. H. Fuller's work include Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Diabetes Management and Research (15 papers) and Diabetes Treatment and Management (11 papers). J. H. Fuller is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Diabetes Management and Research (15 papers) and Diabetes Treatment and Management (11 papers). J. H. Fuller collaborates with scholars based in United Kingdom, Italy and Netherlands. J. H. Fuller's co-authors include Nish Chaturvedi, Judith Stephenson, L. K. Stevens, Solomon Tesfaye, Linda Stevens, Jenny Head, Helen M. Colhoun, N. J. Morrish, R. J. Jarrett and H. Keen and has published in prestigious journals such as Diabetes Care, Journal of Bacteriology and Diabetologia.

In The Last Decade

J. H. Fuller

58 papers receiving 3.8k citations

Hit Papers

Prevalence of diabetic peripheral neuropathy and its rela... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. H. Fuller United Kingdom 35 2.0k 1.1k 683 680 521 58 4.0k
Gunnar V.H. Jensen Denmark 17 2.1k 1.1× 1.4k 1.2× 922 1.3× 415 0.6× 279 0.5× 25 4.0k
Pernille Vedel Denmark 12 2.6k 1.3× 1.3k 1.1× 730 1.1× 510 0.8× 159 0.3× 17 4.2k
P. Valensi France 37 1.4k 0.7× 1.3k 1.2× 847 1.2× 872 1.3× 250 0.5× 172 4.3k
Rachel H. Mackey United States 37 1.3k 0.6× 1.9k 1.7× 987 1.4× 720 1.1× 268 0.5× 109 4.8k
Carlos Abraira United States 28 5.1k 2.5× 1.3k 1.1× 1.2k 1.7× 803 1.2× 466 0.9× 74 6.7k
Lena M. Thorn Finland 33 1.7k 0.9× 823 0.7× 498 0.7× 380 0.6× 620 1.2× 87 3.6k
Jan Erik Henriksen Denmark 42 1.9k 0.9× 670 0.6× 705 1.0× 843 1.2× 574 1.1× 128 4.6k
Enrico Agabiti Rosei Italy 42 1.8k 0.9× 2.8k 2.6× 1.2k 1.8× 459 0.7× 180 0.3× 156 5.1k
Stefan Franzén Sweden 32 2.8k 1.4× 1.3k 1.2× 1.2k 1.8× 451 0.7× 390 0.7× 97 4.8k
Matthews United States 7 5.4k 2.6× 1.0k 0.9× 1.3k 1.9× 803 1.2× 642 1.2× 27 7.5k

Countries citing papers authored by J. H. Fuller

Since Specialization
Citations

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

Fields of papers citing papers by J. H. Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. H. Fuller. 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 J. H. Fuller. The network helps show where J. H. Fuller may publish in the future.

Co-authorship network of co-authors of J. H. Fuller

This figure shows the co-authorship network connecting the top 25 collaborators of J. H. Fuller. A scholar is included among the top collaborators of J. H. Fuller 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 J. H. Fuller. J. H. Fuller 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.
Giunti, Sara, Paolo Fornengo, Sabita S. Soedamah‐Muthu, et al.. (2017). Incidence of prolonged QTc and severe hypoglycemia in type 1 diabetes: the EURODIAB Prospective Complications Study. Acta Diabetologica. 54(9). 871–876. 5 indexed citations
2.
Porta, Massimo, James W. Hainer, Anna Malm, et al.. (2011). Exposure to candesartan during the first trimester of pregnancy in type 1 diabetes: experience from the placebo-controlled diabetic retinopathy candesartan trials. Diabetologia. 54(6). 1298–1303. 31 indexed citations
3.
Toeller, M., A. E. Buyken, G. Heitkamp, et al.. (2009). Associations of fat and cholesterol intake with serum lipid levels and cardiovascular disease: The EURODIAB IDDM Complications Study*. Experimental and Clinical Endocrinology & Diabetes. 107(8). 512–521. 13 indexed citations
4.
Vérier‐Mine, O., et al.. (2005). Is pregnancy a risk factor for microvascular complications? The EURODIAB Prospective Complications Study. Diabetic Medicine. 22(11). 1503–1509. 38 indexed citations
5.
Chaturvedi, Nish, et al.. (2005). Plasma homocysteine and microvascular and macrovascular complications in type 1 diabetes: a cross‐sectional nested case–control study. Journal of Internal Medicine. 258(5). 450–459. 30 indexed citations
7.
Colhoun, Helen M., D. J. Betteridge, Paul N. Durrington, et al.. (2005). Rapid emergence of effect of atorvastatin on cardiovascular outcomes in the Collaborative Atorvastatin Diabetes Study (CARDS). Diabetologia. 48(12). 2482–2485. 38 indexed citations
8.
Thomason, Margaret J., Helen M. Colhoun, Shona Livingstone, et al.. (2004). Baseline characteristics in the Collaborative AtoRvastatin Diabetes Study (CARDS) in patients with Type 2 diabetes. Diabetic Medicine. 21(8). 901–905. 15 indexed citations
9.
Colhoun, Helen M., Margaret J. Thomason, Mike Mackness, et al.. (2002). Design of the Collaborative AtoRvastatin Diabetes Study (CARDS) in patients with Type 2 diabetes. Diabetic Medicine. 19(3). 201–211. 77 indexed citations
10.
Soedamah‐Muthu, Sabita S., Helen M. Colhoun, Heidemarie Abrahamian, et al.. (2002). Trends in hypertension management in Type I diabetes across Europe, 1989/1990 – 1997/1999. Diabetologia. 45(10). 1362–1371. 32 indexed citations
11.
Mattock, M., P. Cavallo‐Perin, Barbara Idzior−Waluś, et al.. (2001). Plasma lipids and urinary albumin excretion rate in Type 1 diabetes mellitus: the EURODIAB IDDM Complications Study. Diabetic Medicine. 18(1). 59–67. 33 indexed citations
12.
Idzior−Waluś, Barbara, et al.. (2001). Factors associated with plasma lipids and lipoproteins in Type 1 diabetes mellitus: the EURODIAB IDDM Complications Study. Diabetic Medicine. 18(10). 786–796. 41 indexed citations
13.
Veglio, M., M. Borra, Linda Stevens, J. H. Fuller, & Paolo Cavallo Perin. (1999). The relation between QTc interval prolongation and diabetic complications. The EURODIAB IDDM Complication Study Group. Diabetologia. 42(1). 68–75. 129 indexed citations
15.
Chaturvedi, Nish, et al.. (1995). The Relationship Between Pregnancy and Long‐term Maternal Complications in the EURODIAB IDDM Complications Study. Diabetic Medicine. 12(6). 494–499. 34 indexed citations
16.
Swerdlow, Anthony J., et al.. (1992). Recent Trends in Diabetes Mortality in England and Wales. Diabetic Medicine. 9(5). 417–421. 9 indexed citations
17.
Lloyd, Cathy E., Nicola Robinson, L. K. Stevens, & J. H. Fuller. (1991). The Relationship Between Stress and the Development of Diabetic Complications. Diabetic Medicine. 8(2). 146–150. 6 indexed citations
19.
Head, Jenny & J. H. Fuller. (1990). International variations in mortality among diabetic patients: the WHO Multinational Study of Vascular Disease in Diabetics. Diabetologia. 33(8). 477–481. 58 indexed citations
20.
Robinson, Nicola, et al.. (1988). Depression and Diabetes. Diabetic Medicine. 5(3). 268–274. 54 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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