John L. Frater

3.7k total citations
86 papers, 1.5k citations indexed

About

John L. Frater is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, John L. Frater has authored 86 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pathology and Forensic Medicine, 27 papers in Oncology and 26 papers in Genetics. Recurrent topics in John L. Frater's work include Lymphoma Diagnosis and Treatment (27 papers), Chronic Lymphocytic Leukemia Research (18 papers) and Acute Myeloid Leukemia Research (16 papers). John L. Frater is often cited by papers focused on Lymphoma Diagnosis and Treatment (27 papers), Chronic Lymphocytic Leukemia Research (18 papers) and Acute Myeloid Leukemia Research (16 papers). John L. Frater collaborates with scholars based in United States, Belgium and Switzerland. John L. Frater's co-authors include Friederike Kreisel, Gary W. Procop, Gerri S. Hall, Richard A. Prayson, Giuseppe d’Onofrio, Gina Zini, Heesun J. Rogers, Anjum Hassan, M. Yadira Hurley and TuDung T. Nguyen and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

John L. Frater

78 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John L. Frater United States 21 378 355 347 304 284 86 1.5k
Akio Mimori Japan 28 243 0.6× 136 0.4× 171 0.5× 399 1.3× 195 0.7× 117 2.1k
Marilyn Campion United States 18 474 1.3× 176 0.5× 228 0.7× 153 0.5× 477 1.7× 25 1.7k
Philippe Grimbert France 33 168 0.4× 190 0.5× 142 0.4× 210 0.7× 244 0.9× 118 3.0k
Karl‐Walter Sykora Germany 20 306 0.8× 518 1.5× 172 0.5× 755 2.5× 171 0.6× 45 2.2k
Ildefonso Espigado Spain 21 133 0.4× 301 0.8× 182 0.5× 452 1.5× 324 1.1× 78 1.3k
Akira Sagawa Japan 17 233 0.6× 219 0.6× 250 0.7× 121 0.4× 134 0.5× 75 1.8k
Rita Consolini Italy 24 143 0.4× 342 1.0× 185 0.5× 314 1.0× 128 0.5× 102 1.7k
José L. Díez‐Martín Spain 24 454 1.2× 778 2.2× 210 0.6× 1.3k 4.3× 451 1.6× 180 2.4k
Mariangela Manfredi Italy 25 227 0.6× 112 0.3× 396 1.1× 118 0.4× 158 0.6× 140 2.1k
Pravin Hissaria Australia 20 335 0.9× 81 0.2× 180 0.5× 166 0.5× 169 0.6× 92 1.6k

Countries citing papers authored by John L. Frater

Since Specialization
Citations

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

Fields of papers citing papers by John L. Frater

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John L. Frater

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Frater. A scholar is included among the top collaborators of John L. Frater 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 John L. Frater. John L. Frater 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.
Frater, John L., et al.. (2024). Pseudo‐lymphocytosis caused by circulating megakaryocyte fragments in a patient with post‐essential thrombocythemia myelofibrosis. International Journal of Laboratory Hematology. 46(6). 991–993.
2.
Shirai, Cara Lunn, et al.. (2024). Validation of an automated iron stain process for use with bone marrow aspirate smear slides. Journal of Hematopathology. 17(3). 121–128.
3.
Slade, Michael, Mark A. Fiala, Keith Stockerl‐Goldstein, et al.. (2023). A Single Reference Interval for Interpreting Serum Free Light Chains across Patients with Varying Renal Function. Clinical Chemistry. 69(6). 595–605. 3 indexed citations
4.
Frater, John L.. (2023). Blast identification in cerebrospinal fluid specimens from patients with acute myeloid leukemia: laboratory perspectives. Leukemia & lymphoma. 65(1). 136–137. 1 indexed citations
5.
Frater, John L.. (2023). Red Blood Cell Distribution Width as a Biomarker in Type 2 Diabetes Mellitus: Technical Notes [Letter]. Diabetes Metabolic Syndrome and Obesity. Volume 16. 479–481. 2 indexed citations
6.
Frater, John L.. (2022). Preanalytical and analytical factors in the mean platelet volume: a potential cause of heterogeneity in studies of erectile dysfunction. International Journal of Impotence Research. 35(5). 492–493. 1 indexed citations
7.
Frater, John L., Cara Lunn Shirai, & Jonathan R. Brestoff. (2022). Technological features of blast identification in the cerebrospinal fluid: A systematic review of flow cytometry and laboratory haematology methods. International Journal of Laboratory Hematology. 44(S1). 45–53. 5 indexed citations
8.
9.
Chen, Anne, et al.. (2021). Preanalytical errors in a satellite stat laboratory: A Six Sigma analysis of seven years’ data. Clinica Chimica Acta. 523. 26–30. 6 indexed citations
10.
Frater, John L.. (2021). The Top 100 Cited Papers in the Field of Iron Deficiency in Humans: A Bibliometric Study. BioMed Research International. 2021(1). 5573790–5573790. 4 indexed citations
11.
Brestoff, Jonathan R. & John L. Frater. (2021). Contemporary Challenges in Clinical Flow Cytometry: Small Samples, Big Data, Little Time. The Journal of Applied Laboratory Medicine. 7(4). 931–944. 17 indexed citations
12.
Mahapatra, Lily, et al.. (2021). Not all lymphoid aggregates in chronic lymphocytic leukemia (CLL) patients are due to CLL!. SHILAP Revista de lepidopterología. 9(3). 1785–1786. 1 indexed citations
13.
Frater, John L.. (2020). How I investigate neutropenia. International Journal of Laboratory Hematology. 42(S1). 121–132. 24 indexed citations
14.
Frater, John L., et al.. (2020). The impact of biosafety enhancement on stat laboratory quality metrics: Lessons from the COVID-19 pandemic. Clinica Chimica Acta. 512. 58–62. 7 indexed citations
15.
Bell, Robert, et al.. (2020). The hematology laboratory’s response to the COVID‐19 pandemic: A scoping review. International Journal of Laboratory Hematology. 43(2). 148–159. 11 indexed citations
16.
Frater, John L., Gina Zini, Giuseppe d’Onofrio, & Heesun J. Rogers. (2020). COVID‐19 and the clinical hematology laboratory. International Journal of Laboratory Hematology. 42(S1). 11–18. 173 indexed citations
17.
Jackups, Ronald, et al.. (2019). Blast flagging of the Sysmex XN‐10 hematology analyzer with supervised cell image analysis: Impact on quality parameters. International Journal of Laboratory Hematology. 41(5). 601–606. 8 indexed citations
18.
Pai, Swati & John L. Frater. (2019). Quality management and accreditation in laboratory hematology: Perspectives from India. International Journal of Laboratory Hematology. 41(S1). 177–183. 5 indexed citations
19.
Kreisel, Friederike, John L. Frater, Anjum Hassan, & Samir K. El‐Mofty. (2010). Cystic lymphoid hyperplasia of the parotid gland in HIV-positive and HIV-negative patients: quantitative immunopathology. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 109(4). 567–574. 12 indexed citations
20.

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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