Debra J. Endean

412 total citations
9 papers, 340 citations indexed

About

Debra J. Endean is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Debra J. Endean has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Debra J. Endean's work include Blood groups and transfusion (2 papers), Parvovirus B19 Infection Studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Debra J. Endean is often cited by papers focused on Blood groups and transfusion (2 papers), Parvovirus B19 Infection Studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Debra J. Endean collaborates with scholars based in United States. Debra J. Endean's co-authors include Martin J. Hessner, Brian R. Curtis, Richard H. Aster, Kenneth D. Friedman, Robert A. Luhm, Steven D. Pearson, Robert R. Montgomery, Janice G. McFarland, Oliver Smithies and William R. Drobyski and has published in prestigious journals such as Blood, American Journal of Obstetrics and Gynecology and British Journal of Haematology.

In The Last Decade

Debra J. Endean

9 papers receiving 324 citations

Peers

Debra J. Endean

HEMAT

GENET

IMMUN

MB

IM

Sami Guermazi Tunisia

Sandra Grässle Germany

Peter van Balen Netherlands

Linda Berberian United States

Robert Escher Switzerland

RB Stead United States

Joao A Ascensao United States

Abdul‐Aleem Mohammad Sweden

Takuro Kuriyama Japan

J Baró Spain

Sami Guermazi Tunisia

Debra J. Endean

174 ×0.8

HEMAT

108 ×0.9

GENET

27 ×0.3

IMMUN

67 ×1.1

MB

99 ×2.1

IM

Citations per year, relative to Debra J. Endean Debra J. Endean (= 1×) peers Sami Guermazi

Countries citing papers authored by Debra J. Endean

Since Specialization

Citations

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

Fields of papers citing papers by Debra J. Endean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra J. Endean. 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 Debra J. Endean. The network helps show where Debra J. Endean may publish in the future.

Co-authorship network of co-authors of Debra J. Endean

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

All Works

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9 of 9 papers shown

1.

Hessner, Martin J., et al.. (1999). Neutrophil Antigen (FcγRIIIB) SH Gene Frequencies in Six Racial Groups. Blood. 93(3). 1115–1116. 21 indexed citations

2.

Luhm, Robert A., Steven D. Pearson, Debra J. Endean, et al.. (1999). Prevalence of Prothrombin G20210A, Factor V G1691A (Leiden), and Methylenetetrahydrofolate Reductase (MTHFR) C677T in Seven Different Populations Determined by Multiplex Allele-specific PCR. Thrombosis and Haemostasis. 81(5). 733–738. 107 indexed citations

3.

Hessner, Martin J., et al.. (1999). Neutrophil Antigen (FcγRIIIB) SH Gene Frequencies in Six Racial Groups. Blood. 93(3). 1115–1116. 21 indexed citations

4.

Hessner, Martin J., et al.. (1997). The sensitivity of allele-specific polymerase chain reaction can obviate concern of maternal contamination when fetal samples are genotyped for immune cytopenic disorders. American Journal of Obstetrics and Gynecology. 176(2). 327–333. 12 indexed citations

5.

Drobyski, William R., Debra J. Endean, John P. Klein, & Martin J. Hessner. (1997). Detection of BCR/ABL RNA transcripts using the polymerase chain reaction is highly predictive for relapse in patients transplanted with unrelated marrow grafts for chronic myelogenous leukaemia. British Journal of Haematology. 98(2). 458–466. 18 indexed citations

6.

Hessner, Martin J., Janice G. McFarland, & Debra J. Endean. (1996). Genotyping of KEL1 and KEL2 of the human Kell blood group system by the polymerase chain reaction with sequence‐specific primers. Transfusion. 36(6). 495–499. 29 indexed citations

7.

Hessner, Martin J., Brian R. Curtis, Debra J. Endean, & Richard H. Aster. (1996). Determination of neutrophil antigen gene frequencies in five ethnic groups by polymerase chain reaction with sequence‐specific primers. Transfusion. 36(10). 895–899. 82 indexed citations

8.

Sprecher, Cynthia J., CT Comey, BW Koons, et al.. (1996). Validation of Multiplex Polymorphic STR Amplification Sets Developed for Personal Identification Applications. Journal of Forensic Sciences. 41(4). 582–590. 37 indexed citations

9.

Endean, Debra J. & Oliver Smithies. (1989). Replication of plasmid DNA in fertilized Xenopus eggs is sensitive to both the topology and size of the injected template. Chromosoma. 97(4). 307–314. 13 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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