Andrew Lawrie
- Hematology top 0.5%
- Genetics top 5%
- Immunology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Ian MackieSamuel J. MachinPaul HarrisonRebecca CardiganG. PurdyGeoffrey F. SavidgeAbdulmajeed AlbanyanFlora Peyvandi
- Topics
- Platelet Disorders and Treatments (30 papers)Blood Coagulation and Thrombosis Mechanisms (20 papers)Advanced Mathematical Physics Problems (17 papers)
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaBlood
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Andrew Lawrie
80 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 124
- Hematology 1.2k
- Genetics 338
- Immunology 329
- Pulmonary and Respiratory Medicine 308
- Cardiology and Cardiovascular Medicine 300
Countries citing papers authored by Andrew Lawrie
This map shows the geographic impact of Andrew Lawrie'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 Andrew Lawrie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Lawrie more than expected).
Fields of papers citing papers by Andrew Lawrie
This network shows the impact of papers produced by Andrew Lawrie. 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 Andrew Lawrie. The network helps show where Andrew Lawrie may publish in the future.
Co-authorship network of co-authors of Andrew Lawrie
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Lawrie. A scholar is included among the top collaborators of Andrew Lawrie 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 Andrew Lawrie. Andrew Lawrie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | The Cauchy Problem for Wave Maps on Hyperbolic Space in Dimensions d≥ 4 | 4 |
| 5 | 57 | |
| 6 | 125 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 18 | |
| 10 | 24 | |
| 11 | 175 | |
| 12 | 48 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 101 | |
| 16 | 26 | |
| 17 | Hepatitis C virus (HCV) infection in a drug dependency centre in North East England. | 2 |
| 18 | 4 | |
| 19 | 33 | |
| 20 | 47 |
About Andrew Lawrie
Andrew Lawrie is a scholar working on Hematology, Internal Medicine and Mathematical Physics, having authored 82 papers that have together received 2.3k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (30 papers), Blood Coagulation and Thrombosis Mechanisms (20 papers) and Advanced Mathematical Physics Problems (17 papers). The work is most often cited by research in Hematology (1.2k citations), Internal Medicine (262 citations) and Biochemistry (216 citations). Andrew Lawrie has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Ian Mackie, Samuel J. Machin, Paul Harrison, Rebecca Cardigan, G. Purdy, Geoffrey F. Savidge, Abdulmajeed Albanyan, Flora Peyvandi, Hannah Cohen and Barry Wilbourn. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.
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.