G.L. FERRELL

1.3k citations
10 papers · 1.2k · h-index 8

Impact in

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

Papers in

    • Blood Coagulation and Thrombosis Mechanisms 7
    • Sepsis Diagnosis and Treatment 4
    • Adipokines, Inflammation, and Metabolic Diseases 1

G.L. FERRELL

10 papers receiving 1.1k citations

Peers

G.L. FERRELL
Comparison fields: 5 of 67
  • Hematology 835
  • Internal Medicine 218
  • Genetics 219
  • Critical Care and Intensive Care Medicine 51
  • Nutrition and Dietetics 146
Replace Lisa M. Regan with:
Lisa M. Regan United States
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Citations per field
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Citations per year

Countries citing papers authored by G.L. FERRELL

Since Specialization
Citations

This map shows the geographic impact of G.L. 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.L. 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.L. FERRELL more than expected).

Fields of papers citing papers by G.L. FERRELL

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1996457
2 2000269
3 1991143
4 2005117
5 200375
6 200743
7 199631
8 199110
9 19648
10
Protein C, isolation and potential use in prevention of thrombosis.
19878

About G.L. FERRELL

G.L. FERRELL is a scholar working on Hematology, Epidemiology, Nephrology, Public Health, Environmental and Occupational Health and Genetics, having authored 10 papers that have together received 1.2k 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), Poisoning and overdose treatments (1 paper), Lipid Membrane Structure and Behavior (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Hematology (835 citations), Internal Medicine (218 citations), Genetics (219 citations), Critical Care and Intensive Care Medicine (51 citations) and Nutrition and Dietetics (146 citations). G.L. FERRELL has collaborated with scholars based in United States and Canada. Frequent co-authors include Charles T. Esmon, Deborah J. Stearns-Kurosawa, Shinichiro Kurosawa, Alvin C. K. Chang, Fletcher B. Taylor, G. Peer, Zoltan G. Laszik, Stanley D. Kosanke, Patricia C. Liaw and CT Esmon. Their work appears in journals such as Blood, Journal of Thrombosis and Haemostasis, Experimental Biology and Medicine, Thrombosis and Haemostasis and Proceedings of the National 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.

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