Meredith E. Fay

1.0k total citations
26 papers, 587 citations indexed

About

Meredith E. Fay is a scholar working on Hematology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Meredith E. Fay has authored 26 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 13 papers in Physiology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Meredith E. Fay's work include Erythrocyte Function and Pathophysiology (12 papers), Blood properties and coagulation (11 papers) and Platelet Disorders and Treatments (8 papers). Meredith E. Fay is often cited by papers focused on Erythrocyte Function and Pathophysiology (12 papers), Blood properties and coagulation (11 papers) and Platelet Disorders and Treatments (8 papers). Meredith E. Fay collaborates with scholars based in United States, Ireland and China. Meredith E. Fay's co-authors include Wilbur A. Lam, Yumiko Sakurai, David R. Myers, Jordan C. Ciciliano, Robert G. Mannino, Yongzhi Qiu, Todd Sulchek, Marcus A. Carden, Alexa L. Mattheyses and Reginald Tran and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Meredith E. Fay

25 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meredith E. Fay United States 12 210 142 133 101 99 26 587
Karen De Ceunynck United States 10 289 1.4× 136 1.0× 217 1.6× 182 1.8× 34 0.3× 12 800
M. Edward Quach United States 8 213 1.0× 53 0.4× 43 0.3× 106 1.0× 57 0.6× 12 438
Rick Huisjes Netherlands 9 101 0.5× 239 1.7× 79 0.6× 157 1.6× 62 0.6× 12 563
Jia Fu China 4 332 1.6× 274 1.9× 113 0.8× 58 0.6× 26 0.3× 11 698
Nathan E. Hudson United States 13 178 0.8× 300 2.1× 47 0.4× 113 1.1× 65 0.7× 24 582
Sara T.O. Saad Brazil 18 408 1.9× 168 1.2× 153 1.2× 270 2.7× 74 0.7× 41 1.0k
Keith Chambers Canada 7 78 0.4× 119 0.8× 21 0.2× 95 0.9× 149 1.5× 7 500
Morio Matsumoto Japan 20 132 0.6× 33 0.2× 28 0.2× 193 1.9× 58 0.6× 87 1.1k
Shu Chien United States 15 94 0.4× 263 1.9× 105 0.8× 224 2.2× 60 0.6× 30 751
Esti Hyam Israel 14 295 1.4× 65 0.5× 56 0.4× 143 1.4× 51 0.5× 20 720

Countries citing papers authored by Meredith E. Fay

Since Specialization
Citations

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

Fields of papers citing papers by Meredith E. Fay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meredith E. Fay. 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 Meredith E. Fay. The network helps show where Meredith E. Fay may publish in the future.

Co-authorship network of co-authors of Meredith E. Fay

This figure shows the co-authorship network connecting the top 25 collaborators of Meredith E. Fay. A scholar is included among the top collaborators of Meredith E. Fay 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 Meredith E. Fay. Meredith E. Fay 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.
Caruso, Christina, Beena Thomas, Meredith E. Fay, et al.. (2024). Less-deformable erythrocyte subpopulations biomechanically induce endothelial inflammation in sickle cell disease. Blood. 144(19). 2050–2062. 10 indexed citations
2.
Fay, Meredith E., Ashley Bennett, Kimberly Pachura, et al.. (2024). BiliQML: a supervised machine-learning model to quantify biliary forms from digitized whole slide liver histopathological images. American Journal of Physiology-Gastrointestinal and Liver Physiology. 327(1). G1–G15. 2 indexed citations
3.
4.
Rab, Minke A.E., Brigitte A. van Oirschot, Evelyn Kendall Williams, et al.. (2021). Use of Red Blood Cell Phenotypes for Second Line Therapy Selection in Sickle Cell Disease. Blood. 138(Supplement 1). 2053–2053. 1 indexed citations
5.
Caruso, Christina, et al.. (2021). Assessing the Physiologic Relevance of Red Blood Cell Deformability in Iron Deficiency Anemia. Blood. 138(Supplement 1). 4153–4153. 1 indexed citations
6.
Fay, Meredith E., Yumiko Sakurai, Yongzhi Qiu, et al.. (2021). Introducing a Novel Biophysical Platelet Function Panel to Investigate Disorders of Primary Hemostasis and Bleeding of Unknown Cause. Blood. 138(Supplement 1). 2072–2072. 2 indexed citations
7.
8.
Yang, Ting, Yang Shi, Katherine T. Nguyen, et al.. (2021). Dosage‐Dependent Antimicrobial Activity of DNA‐Histone Microwebs Against Staphylococcus Aureus. Advanced Materials Interfaces. 8(17). 3 indexed citations
9.
Islam, Muhymin, Abhishek Raj, Jordan C. Ciciliano, et al.. (2020). Stiffness based enrichment of leukemia cells using microfluidics. APL Bioengineering. 4(3). 36101–36101. 9 indexed citations
10.
Ni, Fang, Wen‐Mei Yu, Xinyi Wang, et al.. (2019). Ptpn21 Controls Hematopoietic Stem Cell Homeostasis and Biomechanics. Cell stem cell. 24(4). 608–620.e6. 37 indexed citations
11.
Caruso, Christina, Yumiko Sakurai, Meredith E. Fay, et al.. (2019). Stiff Erythrocyte Subpopulations Biomechanically Induce Endothelial Inflammation in Sickle Cell Disease. Blood. 134(Supplement_1). 3560–3560. 5 indexed citations
12.
13.
Sakurai, Yumiko, Elaissa T. Hardy, Byungwook Ahn, et al.. (2018). A microengineered vascularized bleeding model that integrates the principal components of hemostasis. Nature Communications. 9(1). 509–509. 77 indexed citations
14.
Ojaghi, Ashkan, Meredith E. Fay, Wilbur A. Lam, & Francisco E. Robles. (2018). Ultraviolet Hyperspectral Interferometric Microscopy. Scientific Reports. 8(1). 9913–9913. 23 indexed citations
15.
Sakurai, Yumiko, Meredith E. Fay, Brian G. Petrich, et al.. (2018). A Comparative Medicine Study of Platelet Biophysics Among Hemostasis Models of Different Species. Blood. 132(Supplement 1). 869–869. 1 indexed citations
16.
Brockman, Joshua M., Aaron T. Blanchard, Victor Pui‐Yan, et al.. (2017). Mapping the 3D orientation of piconewton integrin traction forces. Nature Methods. 15(2). 115–118. 105 indexed citations
17.
Ciciliano, Jordan C., Yumiko Sakurai, David R. Myers, et al.. (2015). Resolving the multifaceted mechanisms of the ferric chloride thrombosis model using an interdisciplinary microfluidic approach. Blood. 126(6). 817–824. 64 indexed citations
18.
Tran, Reginald, David R. Myers, Jordan C. Ciciliano, et al.. (2013). Biomechanics of haemostasis and thrombosis in health and disease: from the macro‐ to molecular scale. Journal of Cellular and Molecular Medicine. 17(5). 579–596. 34 indexed citations
19.
Swords, Ronan, et al.. (2006). Treatment of refractory fludarabine induced autoimmune haemolytic with the anti-cd20 monoclonal antibody rituximab. Clinical & Laboratory Haematology. 28(1). 57–59. 6 indexed citations
20.
Swords, Ronan, et al.. (2005). CML clonal evolution with resistance to single agent imatinib therapy. Clinical & Laboratory Haematology. 27(5). 347–349. 9 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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