M. Mattock

5.4k total citations · 2 hit papers
41 papers, 4.2k citations indexed

About

M. Mattock is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, M. Mattock has authored 41 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Molecular Biology. Recurrent topics in M. Mattock's work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Chronic Kidney Disease and Diabetes (6 papers) and Lipoproteins and Cardiovascular Health (5 papers). M. Mattock is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Chronic Kidney Disease and Diabetes (6 papers) and Lipoproteins and Cardiovascular Health (5 papers). M. Mattock collaborates with scholars based in United Kingdom, India and United States. M. Mattock's co-authors include John C. Pickup, Davina Judith Burt, Gary Chusney, H. Keen, F Cotter, W. R. Keatinge, Giancarlo Viberti, M Murphy, S. R. Coleshaw and Anthony J. Fitzgerald and has published in prestigious journals such as The Lancet, Diabetes Care and Diabetes.

In The Last Decade

M. Mattock

41 papers receiving 4.0k citations

Hit Papers

NIDDM as a disease of the innate immune system: associati... 1984 2026 1998 2012 1997 1984 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Mattock United Kingdom 25 1.5k 975 877 872 828 41 4.2k
Björn Fagerberg Sweden 40 1.2k 0.8× 963 1.0× 1.2k 1.3× 1.4k 1.6× 547 0.7× 106 5.4k
D S O’Reilly United Kingdom 36 1.7k 1.1× 833 0.9× 1.6k 1.9× 999 1.1× 177 0.2× 78 6.7k
Pietro Castellino Italy 33 491 0.3× 918 0.9× 423 0.5× 630 0.7× 191 0.2× 119 3.7k
Margaretha Persson Sweden 39 812 0.5× 500 0.5× 628 0.7× 1.0k 1.2× 450 0.5× 107 4.0k
Tong‐Yuan Tai Taiwan 31 939 0.6× 1.3k 1.4× 1.7k 1.9× 567 0.7× 175 0.2× 65 4.0k
Mahmut İlker Yılmaz Türkiye 48 959 0.6× 954 1.0× 1.2k 1.4× 1.4k 1.6× 133 0.2× 151 6.3k
Patrice Sutherland United States 26 817 0.5× 811 0.8× 879 1.0× 1.5k 1.7× 109 0.1× 32 4.3k
P. Cavallo‐Perin Italy 36 2.2k 1.5× 1.0k 1.1× 1.5k 1.7× 1.3k 1.5× 80 0.1× 128 5.7k
Mohammad G. Saklayen United States 17 1.1k 0.7× 825 0.8× 780 0.9× 666 0.8× 89 0.1× 32 3.5k
Yuhong Chen China 29 774 0.5× 322 0.3× 838 1.0× 580 0.7× 548 0.7× 143 3.0k

Countries citing papers authored by M. Mattock

Since Specialization
Citations

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

Fields of papers citing papers by M. Mattock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Mattock

This figure shows the co-authorship network connecting the top 25 collaborators of M. Mattock. A scholar is included among the top collaborators of M. Mattock 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 M. Mattock. M. Mattock 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.
Newman, David, M. Mattock, Anne Dawnay, et al.. (2005). Systematic review on urine albumin testing for early detection of diabetic complications. Health Technology Assessment. 9(30). iii–vi, xiii. 141 indexed citations
2.
Pickup, John C. & M. Mattock. (2003). Activation of the innate immune system as a predictor of cardiovascular mortality in Type 2 diabetes mellitus. Diabetic Medicine. 20(9). 723–726. 35 indexed citations
3.
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
4.
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
5.
Chusney, Gary, et al.. (2000). The innate immune response and type 2 diabetes: evidence that leptin is associated with a stress‐related (acute‐phase) reaction. Clinical Endocrinology. 52(1). 107–112. 36 indexed citations
6.
Mattock, M., David Barnes, Giancarlo Viberti, et al.. (1998). Microalbuminuria and coronary heart disease in NIDDM: an incidence study.. Diabetes. 47(11). 1786–1792. 124 indexed citations
8.
Pickup, John C., M. Mattock, Martin Crook, et al.. (1995). Serum Sialic Acid Concentration and Coronary Heart Disease in NIDDM. Diabetes Care. 18(8). 1100–1103. 53 indexed citations
9.
Yip, Jeannie, M. Mattock, Anna Morocutti, et al.. (1993). Insulin resistance in insulin-dependent diabetic patients with microalbuminuria. The Lancet. 342(8876). 883–887. 195 indexed citations
10.
Faria, José B. Lopes de, et al.. (1992). Sodium-lithium countertransport activity and insulin resistance in normotensive IDDM patients. Diabetes. 41(5). 610–615. 25 indexed citations
11.
Jones, S. L., et al.. (1989). Plasma lipid and coagulation factor concentrations in insulin dependent diabetics with microalbuminuria.. BMJ. 298(6672). 487–490. 173 indexed citations
12.
Walker, James D., Rosemary Dodds, Trevor Murrells, et al.. (1989). RESTRICTION OF DIETARY PROTEIN AND PROGRESSION OF RENAL FAILURE IN DIABETIC NEPHROPATHY. The Lancet. 334(8677). 1411–1415. 167 indexed citations
13.
Diehl, Andrew K., et al.. (1988). The relationship of high density lipoprotein subfractions to alcohol consumption, other lifestyle factors, and coronary heart disease. Atherosclerosis. 69(2-3). 145–153. 60 indexed citations
14.
Mattock, M., et al.. (1988). Coronary heart disease and urinary albumin excretion rate in Type 2 (non-insulin-dependent) diabetic patients. Diabetologia. 31(2). 82–87. 142 indexed citations
15.
Keatinge, W. R., et al.. (1984). Increases in platelet and red cell counts, blood viscosity, and arterial pressure during mild surface cooling: factors in mortality from coronary and cerebral thrombosis in winter.. BMJ. 289(6456). 1405–1408. 523 indexed citations breakdown →
16.
Mattock, M., et al.. (1983). The Plasma Transport of Vitamin K1 (Phylloquinone) in Hyperlipoproteinaemia. Clinical Science. 64(2). 63P–63P. 5 indexed citations
17.
Mattock, M., et al.. (1982). High density lipoprotein subfractions in insulin-dependent diabetic and normal subjects. Atherosclerosis. 45(1). 67–79. 34 indexed citations
18.
Mattock, M., et al.. (1979). Sex-dependence in triglyceride metabolism in response to dietary carbohydrates. Cellular and Molecular Life Sciences. 35(2). 162–163. 4 indexed citations
19.
Mattock, M., et al.. (1972). Studies on Plasma Lipid Metabolism in Diabetes. Clinical Science. 42(4). 18P–18P. 1 indexed citations
20.
Mattock, M., et al.. (1972). Chylomicra and Very-Low Density Lipoproteins—Are They Functionally Distinct?. Clinical Science. 43(1). 4P–4P. 2 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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