Tracey E. Madgett

731 total citations
19 papers, 449 citations indexed

About

Tracey E. Madgett is a scholar working on Pediatrics, Perinatology and Child Health, Hematology and Physiology. According to data from OpenAlex, Tracey E. Madgett has authored 19 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pediatrics, Perinatology and Child Health, 10 papers in Hematology and 8 papers in Physiology. Recurrent topics in Tracey E. Madgett's work include Prenatal Screening and Diagnostics (11 papers), Blood groups and transfusion (10 papers) and Erythrocyte Function and Pathophysiology (8 papers). Tracey E. Madgett is often cited by papers focused on Prenatal Screening and Diagnostics (11 papers), Blood groups and transfusion (10 papers) and Erythrocyte Function and Pathophysiology (8 papers). Tracey E. Madgett collaborates with scholars based in United Kingdom, Saudi Arabia and Finland. Tracey E. Madgett's co-authors include Neil D. Avent, Deborah G. Maddocks, Paul Waines, Genhua Pan, Bing Li, Peter Soothill, Michele Kiernan, Wendy Heywood, Ken Mills and Lonneke Haer‐Wigman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Chemistry and Biosensors and Bioelectronics.

In The Last Decade

Tracey E. Madgett

18 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tracey E. Madgett United Kingdom	12	163	144	137	134	73	19	449
Xiangmin Xu China	14	211 1.3×	99 0.7×	219 1.6×	47 0.4×	20 0.3×	46	529
Ivan S. Pires United States	13	21 0.1×	58 0.4×	229 1.7×	69 0.5×	10 0.1×	32	591
Maximilian Schieck Germany	11	54 0.3×	23 0.2×	141 1.0×	100 0.7×	11 0.2×	23	413
Hannes Frischknecht Switzerland	11	94 0.6×	35 0.2×	104 0.8×	31 0.2×	15 0.2×	31	417
Yuta Kawahara Japan	9	68 0.4×	14 0.1×	40 0.3×	22 0.2×	17 0.2×	31	240
Roy B. Lefkowitz United States	7	15 0.1×	114 0.8×	174 1.3×	16 0.1×	24 0.3×	9	383
Giuseppe Russo Italy	8	57 0.3×	25 0.2×	58 0.4×	13 0.1×	22 0.3×	35	262
Jesse A. Rudd-Schmidt Australia	8	145 0.9×	9 0.1×	120 0.9×	16 0.1×	11 0.2×	11	386
Joshua Henshaw United States	11	15 0.1×	7 0.0×	106 0.8×	74 0.6×	17 0.2×	21	464
Michael R. Greene United States	5	23 0.1×	15 0.1×	236 1.7×	14 0.1×	6 0.1×	8	322

Countries citing papers authored by Tracey E. Madgett

Since Specialization

Citations

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

Fields of papers citing papers by Tracey E. Madgett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tracey E. Madgett

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

All Works

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19 of 19 papers shown

Kiernan, Michele, et al.. (2024). RHCE genotyping using next generation sequencing: Allele specific reference sequences. Transfusion. 65(2). 363–374.

Madgett, Tracey E., et al.. (2023). RHD molecular analysis—from discovery to next generation sequencing. Annals of Blood. 8. 36–36. 3 indexed citations

Sainio, Susanna, et al.. (2022). Rh Blood Group D Antigen Genotyping Using a Portable Nanopore-based Sequencing Device: Proof of Principle. Clinical Chemistry. 68(9). 1196–1201. 7 indexed citations

Sainio, Susanna, et al.. (2020). Next-generation sequencing of 35 RHD variants in 16 253 serologically D− pregnant women in the Finnish population. Blood Advances. 4(20). 4994–5001. 9 indexed citations

Madgett, Tracey E., et al.. (2018). Complete RHD next-generation sequencing: establishment of reference RHD alleles. Blood Advances. 2(20). 2713–2723. 25 indexed citations

Kiernan, Michele, et al.. (2017). Rapid RHD Zygosity Determination Using Digital PCR. Clinical Chemistry. 63(8). 1388–1397. 10 indexed citations

Li, Bing, et al.. (2015). Graphene electrode modified with electrochemically reduced graphene oxide for label-free DNA detection. Biosensors and Bioelectronics. 72. 313–319. 108 indexed citations

Kiernan, Michele, et al.. (2015). Fetal Sex and RHD Genotyping with Digital PCR Demonstrates Greater Sensitivity than Real-time PCR. Clinical Chemistry. 61(11). 1399–1407. 46 indexed citations

Avent, Neil D., et al.. (2015). Next‐generation sequencing: academic overkill or high‐resolution routine blood group genotyping?. ISBT Science Series. 10(S1). 250–256. 8 indexed citations

10.

Madgett, Tracey E., et al.. (2013). Non-Invasive Screening Tools for Down’s Syndrome: A Review. SHILAP Revista de lepidopterología. 3(2). 291–314. 8 indexed citations

11.

Heywood, Wendy, et al.. (2012). Identification of new biomarkers for Down's syndrome in maternal plasma. Journal of Proteomics. 75(9). 2621–2628. 19 indexed citations

12.

Heywood, Wendy, Tracey E. Madgett, Neil D. Avent, et al.. (2012). The development of a peptide SRM-based tandem mass spectrometry assay for prenatal screening of Down syndrome. Journal of Proteomics. 75(11). 3248–3257. 17 indexed citations

13.

Haer‐Wigman, Lonneke, Barbera Veldhuisen, Martin Lodén, et al.. (2012). RHD and RHCE variant and zygosity genotyping via multiplex ligation–dependent probe amplification. Transfusion. 53(7). 1559–1574. 47 indexed citations

14.

Heywood, Wendy, et al.. (2011). 2D DIGE analysis of maternal plasma for potential biomarkers of Down Syndrome. Proteome Science. 9(1). 56–56. 16 indexed citations

15.

Avent, Neil D., Tracey E. Madgett, Deborah G. Maddocks, & Peter Soothill. (2009). Cell-free fetal DNA in the maternal serum and plasma: current and evolving applications. Current Opinion in Obstetrics & Gynecology. 21(2). 175–179. 17 indexed citations

16.

Plummer, Zoe, Tracey E. Madgett, Kelly Sanders, et al.. (2009). 4.1R-deficient human red blood cells have altered phosphatidylserine exposure pathways and are deficient in CD44 and CD47 glycoproteins. Haematologica. 94(10). 1354–1361. 20 indexed citations

17.

Maddocks, Deborah G., Medhat Alberry, George Attilakos, et al.. (2009). The SAFE project: towards non-invasive prenatal diagnosis. Biochemical Society Transactions. 37(2). 460–465. 27 indexed citations

18.

Avent, Neil D., Zoe Plummer, Tracey E. Madgett, Deborah G. Maddocks, & Peter Soothill. (2008). Post-genomics studies and their application to non-invasive prenatal diagnosis. Seminars in Fetal and Neonatal Medicine. 13(2). 91–98. 22 indexed citations

19.

Avent, Neil D., et al.. (2006). Molecular biology of Rh proteins and relevance to molecular medicine. Expert Reviews in Molecular Medicine. 8(13). 1–20. 40 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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