G Ferrell

1.3k citations
10 papers · 1.1k · h-index 9

Impact in

  • Hematology top 1%
    • Blood Coagulation and Thrombosis Mechanisms
    • Platelet Disorders and Treatments
    • Hemophilia Treatment and Research
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Blood Coagulation and Thrombosis Mechanisms 7
    • Hemophilia Treatment and Research 1
    • Sepsis Diagnosis and Treatment 4

G Ferrell

10 papers receiving 1.1k citations

Peers

G Ferrell
Comparison fields: 5 of 67
  • Hematology 817
  • Internal Medicine 211
  • Genetics 208
  • Critical Care and Intensive Care Medicine 53
  • Nutrition and Dietetics 148
Replace Glenn Peer with:
Glenn Peer United States
A. C. K. Chang United States
H Hoogendoorn Canada
Susan A. Maroney United States
Mary Jane Patch United States
C W Carson United States
Hideo Wada Japan
Thompson Jh
S Łopaciuk Poland
AR Giles Canada
G Ferrell relative to Glenn Peer United States Glenn Peer's profile →
Citations per field
00.5×2.9×
Glenn Peer · 1×
Citations per year

Countries citing papers authored by G Ferrell

Since Specialization
Citations

This map shows the geographic impact of G Ferrell'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 G Ferrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Ferrell more than expected).

Fields of papers citing papers by G Ferrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G Ferrell. 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 G Ferrell. The network helps show where G Ferrell may publish in the future.

Co-authors

The 24 scholars most cited alongside G Ferrell, 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 G Ferrell Line = papers co-authored together G Ferrell links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1996449
2 2000272
3 1991143
4 2005114
5 200367
6 200740
7 199629
8 199111
9 19648
10
Protein C, isolation and potential use in prevention of thrombosis.
19878

About G Ferrell

G Ferrell is a scholar working on Hematology, Epidemiology, Public Health, Environmental and Occupational Health, Genetics and Infectious Diseases, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (7 papers), Sepsis Diagnosis and Treatment (4 papers), Neonatal and Maternal Infections (2 papers), Venomous Animal Envenomation and Studies (2 papers), Vitamin K Research Studies (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Hemophilia Treatment and Research (1 paper) and Berberine and alkaloids research (1 paper). The work is most often cited by research in Hematology (817 citations), Internal Medicine (211 citations), Genetics (208 citations), Critical Care and Intensive Care Medicine (53 citations) and Nutrition and Dietetics (148 citations). G Ferrell has collaborated with scholars based in United States and Canada. Frequent co-authors include Charles T. Esmon, Shinichiro Kurosawa, Deborah J. Stearns-Kurosawa, Alvin Chang, Fletcher B. Taylor, G. Peer, Zoltán Lászik, Stanley D. Kosanke, CT Esmon and Kenneth E. Blick. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Blood, Thrombosis and Haemostasis, Proceedings of the National Academy of Sciences and Experimental Biology and 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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