Earl W. Davie

26.4k citations
189 papers · 21.3k indexed · 7 hit papers · h-index 81

Earl W. Davie

187 papers receiving 19.4k citations

Hit Papers

Cloning and characterization of human ...70119642026198420054008001.2k

Peers

Earl W. Davie
Comparison fields: 5 of 156
  • Hematology 12.0k
  • Genetics 5.7k
  • Internal Medicine 750
  • Nutrition and Dietetics 2.0k
  • Immunology and Allergy 769
Replace Kazuo Fujikawa with:
Kazuo Fujikawa Japan
Walter Kisiel United States
Bruce Furie United States
J. Evan Sadler United States
Barbara C. Furie United States
Björn Dahlbäck Sweden
Francis Castellino United States
Désiré Collen Belgium
Ralph L. Nachman United States
Thomas S. Edgington United States
Earl W. Davie relative to Kazuo Fujikawa Japan Kazuo Fujikawa's profile →
Citations per field
00.5×1.5×2.4×
Kazuo Fujikawa · 1×
Citations per year

Countries citing papers authored by Earl W. Davie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Earl W. Davie Line = papers co-authored together Earl W. Davie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199862
2 1997186
3 199624
4 199554
5 199337
6 199164
7 1991276
8
The coagulation cascade: initiation, maintenance, and regulationbreakdown →
19911480
9 199148
10 199053
11 1988141
12 198814
13 19871
14 1987204
15 198716
16 198777
17 198157
18 198132
19 19771
20 196289

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.

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