Joan Cox Gill

5.9k total citations
121 papers, 3.9k citations indexed

About

Joan Cox Gill is a scholar working on Hematology, Surgery and Genetics. According to data from OpenAlex, Joan Cox Gill has authored 121 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Hematology, 30 papers in Surgery and 26 papers in Genetics. Recurrent topics in Joan Cox Gill's work include Platelet Disorders and Treatments (80 papers), Hemophilia Treatment and Research (40 papers) and Blood groups and transfusion (38 papers). Joan Cox Gill is often cited by papers focused on Platelet Disorders and Treatments (80 papers), Hemophilia Treatment and Research (40 papers) and Blood groups and transfusion (38 papers). Joan Cox Gill collaborates with scholars based in United States, Canada and Germany. Joan Cox Gill's co-authors include Robert R. Montgomery, Sandra L. Haberichter, Veronica H. Flood, Pamela A. Christopherson, Kenneth D. Friedman, Amy D. Shapiro, Patricia A. Morateck, J. Michael Soucie, Cindy Leissinger and Marilyn Johnson and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Joan Cox Gill

118 papers receiving 3.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joan Cox Gill United States 38 3.1k 657 555 470 443 121 3.9k
Kenneth D. Friedman United States 33 2.0k 0.6× 334 0.5× 514 0.9× 894 1.9× 472 1.1× 98 3.0k
Aytemiz Gürgey Türkiye 33 2.4k 0.8× 303 0.5× 1.4k 2.5× 541 1.2× 202 0.5× 219 3.9k
W. Kreuz Germany 39 3.0k 1.0× 347 0.5× 1.7k 3.1× 415 0.9× 217 0.5× 137 4.7k
Massimo Morfini Italy 45 5.4k 1.7× 461 0.7× 1.3k 2.4× 132 0.3× 156 0.4× 199 6.1k
Hannah Tamary Israel 33 1.9k 0.6× 283 0.4× 1.1k 1.9× 688 1.5× 112 0.3× 154 3.6k
Gregory A. Denomme United States 26 1.7k 0.6× 493 0.8× 537 1.0× 170 0.4× 81 0.2× 110 2.3k
B. L. Evatt United States 15 1.2k 0.4× 207 0.3× 309 0.6× 200 0.4× 339 0.8× 24 1.8k
Erich Vinícius De Paula Brazil 25 745 0.2× 164 0.2× 456 0.8× 286 0.6× 202 0.5× 148 1.9k
Paul Imbach Switzerland 29 5.0k 1.6× 708 1.1× 812 1.5× 1.5k 3.2× 125 0.3× 125 6.2k
Satoshi Takahashi Japan 36 3.3k 1.1× 463 0.7× 742 1.3× 892 1.9× 137 0.3× 273 4.4k

Countries citing papers authored by Joan Cox Gill

Since Specialization
Citations

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

Fields of papers citing papers by Joan Cox Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Cox Gill. 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 Joan Cox Gill. The network helps show where Joan Cox Gill may publish in the future.

Co-authorship network of co-authors of Joan Cox Gill

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Cox Gill. A scholar is included among the top collaborators of Joan Cox Gill 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 Joan Cox Gill. Joan Cox Gill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abe, Karon, et al.. (2019). Higher rates of bleeding and use of treatment products among young boys compared to girls with von Willebrand disease. American Journal of Hematology. 95(1). 10–17. 15 indexed citations
2.
Ellery, Paul E. R., et al.. (2019). Measurement of plasma and platelet tissue factor pathway inhibitor, factor V and Protein S in people with haemophilia. Haemophilia. 25(6). 1083–1091. 7 indexed citations
3.
Flood, Veronica H., Thomas C. Abshire, Pamela A. Christopherson, et al.. (2018). Von Willebrand disease in the United States: perspective from the Zimmerman program. Annals of Blood. 3. 7–7. 17 indexed citations
4.
Garcia, Jéssica Leite, Pamela A. Christopherson, Veronica H. Flood, et al.. (2017). Contribution of Select ISTH-BAT Subscores to the Total Score in Type 1 VWD. Blood. 130. 1075–1075. 2 indexed citations
5.
Christopherson, Pamela A., Daniel B. Bellissimo, Veronica H. Flood, et al.. (2017). Genotype-Phenotype Relationship and the Role of Alloantibodies in Type 3 VWD in the Zimmerman Program. Blood. 130. 19–19. 3 indexed citations
6.
Haberichter, Sandra L., Pamela A. Christopherson, Veronica H. Flood, et al.. (2017). Quantitative Analysis of Von Willebrand Factor (VWF) Multimers in Von Willebrand Disease (VWD) Patients Recruited through the Zimmerman Program for the Molecular and Clinical Biology of VWD. Blood. 130. 1085–1085. 2 indexed citations
7.
Gill, Joan Cox, Giancarlo Castaman, Jerzy Windyga, et al.. (2015). Hemostatic efficacy, safety, and pharmacokinetics of a recombinant von Willebrand factor in severe von Willebrand disease. Blood. 126(17). 2038–2046. 104 indexed citations
8.
Flood, Veronica H., Pamela A. Christopherson, Daniel B. Bellissimo, et al.. (2014). Spectrum of Type 2 Von Willebrand Disease in the Zimmerman Program. Blood. 124(21). 472–472. 2 indexed citations
9.
Mannucci, Pier Mannuccio, Christine L. Kempton, Carolyn M. Millar, et al.. (2013). Pharmacokinetics and safety of a novel recombinant human von Willebrand factor manufactured with a plasma-free method: a prospective clinical trial. Blood. 122(5). 648–657. 87 indexed citations
10.
Valentino, Leonard A., Geoffrey Allen, Joan Cox Gill, et al.. (2013). Case studies in the management of refractory bleeding in patients with haemophilia A and inhibitors. Haemophilia. 19(3). e151–66. 6 indexed citations
11.
Cusick, Matthew F., Meiying Yang, Joan Cox Gill, & David D. Eckels. (2011). Naturally occurring CD4+ T-cell epitope variants act as altered peptide ligands leading to impaired helper T-cell responses in hepatitis C virus infection. Human Immunology. 72(5). 379–385. 10 indexed citations
12.
Byams, Vanessa R., Peter A. Kouides, Judith Baker, et al.. (2011). Surveillance of female patients with inherited bleeding disorders in United States Haemophilia Treatment Centres. Haemophilia. 17(s1). 6–13. 57 indexed citations
13.
14.
Gill, Joan Cox, Chantal Rothschild, Marilyn J. Manco‐Johnson, et al.. (2005). Full-length sucrose-formulated recombinant factor VIII for treatment of previously untreated or minimally treated young children with severe haemophilia A. Thrombosis and Haemostasis. 93(3). 457–467. 79 indexed citations
15.
16.
Eckels, David D., et al.. (2000). Immunobiology of hepatitis C virus (HCV) infection: the role of CD4 T cells in HCV infection. Immunological Reviews. 174(1). 90–97. 84 indexed citations
17.
18.
Tollerud, David J., et al.. (1996). Interferon‐γ secretion defects in haemophilia A patients receiving highly purified plasma‐derived or recombinant factor VIII. British Journal of Haematology. 95(3). 554–560. 3 indexed citations
19.
Gill, Joan Cox, et al.. (1985). Inherited absence of OKT4 lymphocyte antigen in a chronically transfused patient with homozygous sickle cell disease. The Journal of Pediatrics. 107(2). 251–253. 1 indexed citations
20.
Montgomery, Robert R., Richard A. Marlar, & Joan Cox Gill. (1985). Newborn Haemostasis. Clinics in Haematology. 14(2). 443–460. 10 indexed citations

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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