Earl W. Davie
- Hematology top 0.01%
- Blood Coagulation and Thrombosis Mechanisms 65
- Hemophilia Treatment and Research 41
- Platelet Disorders and Treatments 15
- Genetics top 0.05%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 53
- Internal Medicine top 0.5%
- Nutrition and Dietetics top 0.2%
- Vitamin K Research Studies 20
- Immunology and Allergy top 0.5%
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- Blood properties and coagulation 46
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- Erythrocyte Function and Pathophysiology 17
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- Cancer-related gene regulation 12
- Co-authors
- Kazuo FujikawaKotoku KurachiWalter KisielDominic W. ChungOscar D. RatnoffDonald C. FosterAkitada IchinoseMark E. Legaz
- Cited by
- HematologyGeneticsInternal Medicine
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Earl W. Davie
187 papers receiving 19.4k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Hematology 12.0k
- Genetics 5.7k
- Internal Medicine 750
- Nutrition and Dietetics 2.0k
- Immunology and Allergy 769
Countries citing papers authored by Earl W. Davie
This map shows the geographic impact of Earl W. Davie'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 Earl W. Davie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl W. Davie more than expected).
Fields of papers citing papers by Earl W. Davie
This network shows the impact of papers produced by Earl W. Davie. 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 Earl W. Davie. The network helps show where Earl W. Davie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Earl W. Davie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 62 | |
| 2 | 1997 | 186 | |
| 3 | 1996 | 24 | |
| 4 | 1995 | 54 | |
| 5 | 1993 | 37 | |
| 6 | 1991 | 64 | |
| 7 | 1991 | 276 | |
| 8 | The coagulation cascade: initiation, maintenance, and regulationbreakdown → | 1991 | 1480 |
| 9 | 1991 | 48 | |
| 10 | 1990 | 53 | |
| 11 | 1988 | 141 | |
| 12 | 1988 | 14 | |
| 13 | 1987 | 1 | |
| 14 | 1987 | 204 | |
| 15 | 1987 | 16 | |
| 16 | 1987 | 77 | |
| 17 | 1981 | 57 | |
| 18 | 1981 | 32 | |
| 19 | 1977 | 1 | |
| 20 | 1962 | 89 |
About Earl W. Davie
Earl W. Davie is a scholar working on Hematology, Genetics and Nutrition and Dietetics, having authored 189 papers that have together received 21.3k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (65 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (53 papers), Blood properties and coagulation (46 papers), Hemophilia Treatment and Research (41 papers), Vitamin K Research Studies (20 papers), Erythrocyte Function and Pathophysiology (17 papers), Platelet Disorders and Treatments (15 papers) and Cancer-related gene regulation (12 papers). The work is most often cited by research in Hematology (12.0k citations), Genetics (5.7k citations) and Internal Medicine (750 citations). Earl W. Davie has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Kazuo Fujikawa, Kotoku Kurachi, Walter Kisiel, Dominic W. Chung, Oscar D. Ratnoff, Donald C. Foster, Akitada Ichinose, Mark E. Legaz, Mark A. Hermodson and Gordon A. Vehar. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.