Ellen D. McPhail

3.7k total citations
110 papers, 1.7k citations indexed

About

Ellen D. McPhail is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Ellen D. McPhail has authored 110 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 48 papers in Pathology and Forensic Medicine and 36 papers in Genetics. Recurrent topics in Ellen D. McPhail's work include Amyloidosis: Diagnosis, Treatment, Outcomes (50 papers), Lymphoma Diagnosis and Treatment (47 papers) and Chronic Lymphocytic Leukemia Research (29 papers). Ellen D. McPhail is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (50 papers), Lymphoma Diagnosis and Treatment (47 papers) and Chronic Lymphocytic Leukemia Research (29 papers). Ellen D. McPhail collaborates with scholars based in United States, Italy and France. Ellen D. McPhail's co-authors include Paul J. Kurtin, Angela Dispenzieri, Surendra Dasari, Morie A. Gertz, Jason D. Theis, William G. Morice, Martha Grogan, Thomas E. Witzig, Curtis A. Hanson and Rhett P. Ketterling and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of the American College of Cardiology.

In The Last Decade

Ellen D. McPhail

101 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ellen D. McPhail United States 23 798 724 558 508 277 110 1.7k
Florence Coulet France 31 789 1.0× 843 1.2× 623 1.1× 743 1.5× 151 0.5× 102 3.3k
Julie A. Vrana United States 24 196 0.2× 1.3k 1.8× 195 0.3× 449 0.9× 799 2.9× 48 2.1k
Tammy Price-Troska United States 17 481 0.6× 835 1.2× 522 0.9× 544 1.1× 53 0.2× 34 1.6k
Alfonso Zaccaria Italy 24 653 0.8× 385 0.5× 871 1.6× 484 1.0× 36 0.1× 116 2.1k
Sophie Giraud France 28 195 0.2× 889 1.2× 405 0.7× 446 0.9× 86 0.3× 71 2.4k
Roberta Pacini Italy 15 882 1.1× 601 0.8× 520 0.9× 567 1.1× 16 0.1× 20 1.9k
Holger Nückel Germany 27 625 0.8× 535 0.7× 810 1.5× 426 0.8× 21 0.1× 59 1.9k
Florian Oyen Germany 20 484 0.6× 708 1.0× 263 0.5× 48 0.1× 127 0.5× 52 1.4k
Outi Vierimaa Finland 16 184 0.2× 759 1.0× 128 0.2× 265 0.5× 61 0.2× 21 1.7k
Ming‐Lang Zhao United States 20 519 0.7× 496 0.7× 761 1.4× 98 0.2× 361 1.3× 45 2.6k

Countries citing papers authored by Ellen D. McPhail

Since Specialization
Citations

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

Fields of papers citing papers by Ellen D. McPhail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen D. McPhail. 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 Ellen D. McPhail. The network helps show where Ellen D. McPhail may publish in the future.

Co-authorship network of co-authors of Ellen D. McPhail

This figure shows the co-authorship network connecting the top 25 collaborators of Ellen D. McPhail. A scholar is included among the top collaborators of Ellen D. McPhail 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 Ellen D. McPhail. Ellen D. McPhail 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.
Netzel, Brian C., M. Cristine Charlesworth, Kenneth L. Johnson, et al.. (2025). Whole tissue proteomic analyses of cardiac ATTR and AL unveil mechanisms of tissue damage. Amyloid. 32(1). 72–80.
2.
Dasari, Surendra, Jason D. Theis, Matthew T. Howard, et al.. (2025). Dual amyloidosis: A clinicopathologic and proteomic analysis of 111 patients. Human Pathology. 166. 105954–105954.
3.
Chiu, April, Surendra Dasari, Samih H. Nasr, et al.. (2024). Salivary gland amyloidosis: Proteomic identification and clinicopathologic characterization of 57 cases. Human Pathology. 151. 105628–105628. 1 indexed citations
4.
Vrana, Julie A., Jason D. Theis, Surendra Dasari, et al.. (2024). A reliable clinical test for detection of membranous nephropathy antigens using laser microdissection and mass spectrometry. Kidney International. 106(5). 907–912. 8 indexed citations
5.
Gunn, Alexander, Louis R. DiBernardo, Carolyn Glass, et al.. (2024). Light-Chain Pericardial Amyloidosis Emerging Alongside Variant Transthyretin Cardiac Amyloidosis. JACC CardioOncology. 6(4). 612–616. 1 indexed citations
6.
González-López, Esther, Ellen D. McPhail, Clara Salas, et al.. (2024). Histological Typing in Patients With Cardiac Amyloidosis. Journal of the American College of Cardiology. 83(11). 1085–1099. 14 indexed citations
7.
Atallah‐Yunes, Suheil Albert, Thomas E. Witzig, Thomas M. Habermann, et al.. (2024). CODOX-M/IVAC-R <i>versus</i> DA-EPOCH-R in double hit/triple hit lymphoma patients aged 60 years or under. Haematologica. 110(2). 448–456.
8.
Hagen, Catherine E., Surendra Dasari, Jason D. Theis, et al.. (2023). Gastrointestinal amyloidosis: an often unexpected finding with systemic implications. Human Pathology. 139. 27–36. 6 indexed citations
9.
Ravindran, Aishwarya, Paul J. Kurtin, Rebecca L. King, et al.. (2022). Aberrant expression of lymphoid enhancer–binding factor 1 in Hodgkin lymphoma. Human Pathology. 125. 2–10. 2 indexed citations
10.
Wang, Andy, Ellen D. McPhail, Mina G. Safain, et al.. (2022). The Relationship Between Wild-Type Transthyretin Amyloid Load and Ligamentum Flavum Thickness in Lumbar Stenosis Patients. World Neurosurgery. 164. e113–e118. 6 indexed citations
11.
McPhail, Ellen D., et al.. (2022). Immunohistochemistry for LEF1 and SOX11 adds diagnostic specificity in small B-cell lymphomas. Human Pathology. 121. 29–35. 7 indexed citations
12.
Godara, Amandeep, Ron I. Riesenburger, Cindy Varga, et al.. (2021). Association between spinal stenosis and wild-type ATTR amyloidosis. Amyloid. 28(4). 226–233. 25 indexed citations
13.
Said, Samar M., Anthony M. Valeri, Paisit Paueksakon, et al.. (2021). The characteristics of patients with kidney light chain deposition disease concurrent with light chain amyloidosis. Kidney International. 101(1). 152–163. 6 indexed citations
14.
Krull, Jordan E., Kerstin Wenzl, Michelle K. Manske, et al.. (2020). Somatic copy number gains in MYC, BCL2, and BCL6 identifies a subset of aggressive alternative-DH/TH DLBCL patients. Blood Cancer Journal. 10(11). 117–117. 20 indexed citations
15.
Hampel, Paul J., Timothy G. Call, Wei Ding, et al.. (2020). Incidental Richter transformation in chronic lymphocytic leukemia patients during temporary interruption of ibrutinib. Blood Advances. 4(18). 4508–4511. 13 indexed citations
16.
Pophali, Priyanka A., Rhett P. Ketterling, Reid G. Meyer, et al.. (2020). High level MYC amplification in B-cell lymphomas: is it a marker of aggressive disease?. Blood Cancer Journal. 10(1). 5–5. 15 indexed citations
17.
Dasari, Surendra, Angela Dispenzieri, Prasuna Muppa, et al.. (2020). Non-Cardiac Biopsy Sites with High Frequency of Transthyretin Amyloidosis. ESC Heart Failure. 8(1). 750–755. 5 indexed citations
19.
Braggio, Esteban, Scott Van Wier, Juhi Ojha, et al.. (2015). Genome-Wide Analysis Uncovers Novel Recurrent Alterations in Primary Central Nervous System Lymphomas. Clinical Cancer Research. 21(17). 3986–3994. 150 indexed citations
20.
Erickson, Lori A., Julie A. Vrana, Jason D. Theis, et al.. (2015). Analysis of Amyloid in Medullary Thyroid Carcinoma by Mass Spectrometry-Based Proteomic Analysis. Endocrine Pathology. 26(4). 291–295. 19 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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