T W Meade

4.5k total citations · 1 hit paper
47 papers, 2.7k citations indexed

About

T W Meade is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, T W Meade has authored 47 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in T W Meade's work include Blood properties and coagulation (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Blood Coagulation and Thrombosis Mechanisms (7 papers). T W Meade is often cited by papers focused on Blood properties and coagulation (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Blood Coagulation and Thrombosis Mechanisms (7 papers). T W Meade collaborates with scholars based in United Kingdom, South Africa and Sweden. T W Meade's co-authors include Yvonne Stirling, Ranjan Chakrabarti, A. Reghan Foley, P.R. Woodhouse, Martyn Plummer, Kay‐Tee Khaw, W. R. S. North, Andy Haines, Gillian Greenberg and S.G. Thompson and has published in prestigious journals such as The Lancet, Blood and Annals of the New York Academy of Sciences.

In The Last Decade

T W Meade

45 papers receiving 2.5k citations

Hit Papers

Seasonal variations of pl... 1994 2026 2004 2015 1994 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T W Meade United Kingdom 23 905 629 522 494 466 47 2.7k
M Brozović United Kingdom 30 1.4k 1.6× 1.7k 2.7× 595 1.1× 869 1.8× 621 1.3× 74 4.4k
K Korsan-Bengtsen Sweden 18 980 1.1× 500 0.8× 449 0.9× 613 1.2× 550 1.2× 76 2.5k
David S. Siscovick United States 25 166 0.2× 532 0.8× 311 0.6× 669 1.4× 593 1.3× 33 2.4k
John Danesh United Kingdom 3 366 0.4× 128 0.2× 329 0.6× 611 1.2× 781 1.7× 3 2.0k
Ho Jun Chin South Korea 36 510 0.6× 241 0.4× 328 0.6× 643 1.3× 408 0.9× 188 4.0k
Jean Éthier Canada 30 1.3k 1.5× 455 0.7× 206 0.4× 622 1.3× 205 0.4× 51 3.7k
Antón Klingler Austria 36 507 0.6× 592 0.9× 109 0.2× 473 1.0× 287 0.6× 87 3.7k
Helgi Sigvaldason Iceland 32 374 0.4× 187 0.3× 356 0.7× 591 1.2× 428 0.9× 82 3.3k
Ellie Kelepouris United States 13 791 0.9× 174 0.3× 459 0.9× 1.9k 3.7× 363 0.8× 34 4.5k
Jennifer Gassman United States 38 1.2k 1.4× 215 0.3× 323 0.6× 1.0k 2.0× 312 0.7× 77 5.0k

Countries citing papers authored by T W Meade

Since Specialization
Citations

This map shows the geographic impact of T W Meade'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 T W Meade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T W Meade more than expected).

Fields of papers citing papers by T W Meade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T W Meade. 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 T W Meade. The network helps show where T W Meade may publish in the future.

Co-authorship network of co-authors of T W Meade

This figure shows the co-authorship network connecting the top 25 collaborators of T W Meade. A scholar is included among the top collaborators of T W Meade 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 T W Meade. T W Meade 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.
Clayton, Tim, M. Gaskin, & T W Meade. (2011). Recent respiratory infection and risk of venous thromboembolism: case-control study through a general practice database. International Journal of Epidemiology. 40(3). 819–827. 76 indexed citations
2.
Stavola, Bianca De, et al.. (2010). Circulating levels of coagulation and inflammation markers and cancer risks: individual participant analysis of data from three long-term cohorts. International Journal of Epidemiology. 39(3). 699–709. 31 indexed citations
3.
Meade, T W. (2003). Ethical and social issues arising from the science of medicine. LSHTM Research Online (London School of Hygiene and Tropical Medicine). 1 indexed citations
4.
Meade, T W. (2001). Cardiovascular disease—linking pathology and epidemiology. International Journal of Epidemiology. 30(5). 1179–1183. 5 indexed citations
5.
Meade, T W. (1998). Low dose warfarin and aspirin in preventing IHD.. PubMed. 242(1592). 799–803. 4 indexed citations
6.
Meade, T W, et al.. (1998). Interpretation of Thrombosis Prevention Trial. The Lancet. 351(9110). 1206–1207. 9 indexed citations
7.
Scrutton, M.C., et al.. (1994). Changes in clot deformability— a possible explanation for the epidemiological association between plasma fibrinogen concentration and myocardial infarction. Blood Coagulation & Fibrinolysis. 5(5). 719–723. 62 indexed citations
8.
Woodhouse, P.R., Kay‐Tee Khaw, Martyn Plummer, T W Meade, & A. Reghan Foley. (1994). Seasonal variations of plasma fibrinogen and factor VII activity in the elderly: winter infections and death from cardiovascular disease. The Lancet. 343(8895). 435–439. 458 indexed citations breakdown →
9.
Barker, D.J.P., T W Meade, Caroline Fall, et al.. (1992). Relation of fetal and infant growth to plasma fibrinogen and factor VII concentrations in adult life.. BMJ. 304(6820). 148–152. 185 indexed citations
10.
Thomas, Angela, Sally J. Dawson, Anne Marie Lane, et al.. (1992). Possibilities of DNA Analysis for the Detection of Predisposition to Thrombotic Disease. Annals of the New York Academy of Sciences. 667(1). 332–342. 4 indexed citations
11.
Gale, Karen, et al.. (1991). FVII-304 GLN - A DYSFUNCTIONAL FVII MOLECULE WITH REDUCED AFFINITY FOR TISSUE FACTOR. View. 1 indexed citations
13.
Waters, Michael F., et al.. (1986). The rate of relapse in lepromatous leprosy following completion of twenty years of supervised sulphone therapy. Leprosy Review. 57(2). 101–9. 11 indexed citations
14.
Markowe, Hugh L.J., Michael Marmot, M Shipley, et al.. (1985). Fibrinogen: a possible link between social class and coronary heart disease.. BMJ. 291(6505). 1312–1314. 170 indexed citations
15.
Miller, George J., S. J. Walter, Yvonne Stirling, et al.. (1985). Assay of factor VII activity by two techniques: evidence for increased conversion of VII to αVIIain hyperlipidaemia, with possible implications for ischaemic heart disease. British Journal of Haematology. 59(2). 249–258. 91 indexed citations
16.
Hawkey, C J, et al.. (1983). Haemostatic changes following surgery. Thrombosis Research. 32(2). 223–227. 30 indexed citations
17.
Elkeles, R.S., Ranjan Chakrabarti, Mark H. Vickers, Yvonne Stirling, & T W Meade. (1980). Effect of treatment of hyperlipidaemia on haemostatic variables.. BMJ. 281(6246). 973–974. 92 indexed citations
18.
Slack, J., et al.. (1977). Lipid and lipoprotein concentrations in 1604 men and women in working populations in north-west London.. BMJ. 2(6083). 353–357. 47 indexed citations
19.
Chakrabarti, Ranjan & T W Meade. (1972). Trial of clofibrate.. BMJ. 1(5794). 247.2–247. 3 indexed citations
20.
Meade, T W, Tom Arie, Melanie Brewis, Dawn Bond, & J.N. Morris. (1968). Recent History of Ischaemic Heart Disease and Duodenal Ulcer in Doctors. BMJ. 3(5620). 701–704. 25 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026