T W Meade
- Pulmonary and Respiratory Medicine top 2%
- Hematology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Yvonne StirlingRanjan ChakrabartiKay‐Tee KhawP.R. WoodhouseA. Reghan FoleyMartyn PlummerW. R. S. NorthAndy Haines
- Topics
- Blood properties and coagulation (14 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Blood Coagulation and Thrombosis Mechanisms (7 papers)
- Partner nations
- United KingdomSouth AfricaSweden
In The Last Decade
T W Meade
45 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Pulmonary and Respiratory Medicine 905
- Hematology 629
- Endocrinology, Diabetes and Metabolism 522
- Cardiology and Cardiovascular Medicine 494
- Epidemiology 466
Countries citing papers authored by T W Meade
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 76 | |
| 2 | 31 | |
| 3 | 16 | |
| 4 | 5 | |
| 5 | Low dose warfarin and aspirin in preventing IHD. | 4 |
| 6 | 9 | |
| 7 | Seasonal variations of plasma fibrinogen and factor VII activity in the elderly: winter infections and death from cardiovascular diseasebreakdown → | 458 |
| 8 | 62 | |
| 9 | 4 | |
| 10 | 185 | |
| 11 | FVII-304 GLN - A DYSFUNCTIONAL FVII MOLECULE WITH REDUCED AFFINITY FOR TISSUE FACTOR | 1 |
| 12 | 11 | |
| 13 | 170 | |
| 14 | 91 | |
| 15 | 30 | |
| 16 | 92 | |
| 17 | 336 | |
| 18 | 47 | |
| 19 | 3 | |
| 20 | 25 |
About T W Meade
T W Meade is a scholar working on Internal Medicine, Neuropsychology and Physiological Psychology and Hematology, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Blood properties and coagulation (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Blood Coagulation and Thrombosis Mechanisms (7 papers). The work is most often cited by research in Hematology (629 citations), Internal Medicine (201 citations) and Endocrinology, Diabetes and Metabolism (522 citations). T W Meade has collaborated with scholars based in United Kingdom, South Africa and Sweden. Frequent co-authors include Yvonne Stirling, Ranjan Chakrabarti, Kay‐Tee Khaw, P.R. Woodhouse, A. Reghan Foley, Martyn Plummer, W. R. S. North, Andy Haines, Gillian Greenberg and Linda Woolf. Their work appears in journals such as The Lancet, Blood and Annals of the New York Academy of Sciences.
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.