Karen Madgwick

953 total citations
8 papers, 146 citations indexed

About

Karen Madgwick is a scholar working on Pediatrics, Perinatology and Child Health, Management of Technology and Innovation and Hematology. According to data from OpenAlex, Karen Madgwick has authored 8 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pediatrics, Perinatology and Child Health, 3 papers in Management of Technology and Innovation and 3 papers in Hematology. Recurrent topics in Karen Madgwick's work include Maternal and fetal healthcare (3 papers), Blood donation and transfusion practices (3 papers) and Hemoglobinopathies and Related Disorders (2 papers). Karen Madgwick is often cited by papers focused on Maternal and fetal healthcare (3 papers), Blood donation and transfusion practices (3 papers) and Hemoglobinopathies and Related Disorders (2 papers). Karen Madgwick collaborates with scholars based in United Kingdom. Karen Madgwick's co-authors include Wai Yoong, Mellisa Damodaram, Ansam Al‐Habib, A. Fakokunde, Stanley Okolo, Carolyn Dorée, Marialena Trivella, Lise J Estcourt, Sally Hopewell and P Fortin and has published in prestigious journals such as Cochrane Database of Systematic Reviews, British Journal of Haematology and European Journal of Obstetrics & Gynecology and Reproductive Biology.

In The Last Decade

Karen Madgwick

6 papers receiving 139 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen Madgwick United Kingdom 3 80 47 45 45 29 8 146
Jon Barrett Canada 7 110 1.4× 12 0.3× 65 1.4× 7 0.2× 11 0.4× 20 146
Susana Manrique Spain 6 100 1.3× 8 0.2× 65 1.4× 19 0.4× 47 1.6× 10 198
R. Rayment United Kingdom 7 168 2.1× 19 0.4× 65 1.4× 100 2.2× 112 3.9× 8 333
Pei Lin Koh Singapore 8 23 0.3× 20 0.4× 6 0.1× 30 0.7× 24 0.8× 18 130
C. Elton United Kingdom 7 146 1.8× 12 0.3× 59 1.3× 54 1.2× 78 2.7× 10 275
Hawa Keïta-Meyer France 3 134 1.7× 6 0.1× 53 1.2× 35 0.8× 52 1.8× 4 238
Bethany Sabol United States 7 152 1.9× 35 0.7× 134 3.0× 45 1.0× 9 0.3× 25 247
Nour-Eddine Baka France 6 57 0.7× 131 2.8× 38 0.8× 155 3.4× 2 0.1× 11 266
Vincent Hamlyn United Kingdom 3 126 1.6× 4 0.1× 49 1.1× 40 0.9× 73 2.5× 4 197
Elivan Silva Souza Brazil 5 76 0.9× 41 0.9× 74 1.6× 77 1.7× 3 0.1× 15 241

Countries citing papers authored by Karen Madgwick

Since Specialization
Citations

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

Fields of papers citing papers by Karen Madgwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen Madgwick. 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 Karen Madgwick. The network helps show where Karen Madgwick may publish in the future.

Co-authorship network of co-authors of Karen Madgwick

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

All Works

8 of 8 papers shown
1.
Bolton‐Maggs, Paula, et al.. (2024). The use of predeposit autologous donation: Guideline prepared by the BSH Blood Transfusion Task Force. British Journal of Haematology. 204(6). 2210–2216. 2 indexed citations
2.
Madgwick, Karen, et al.. (2022). Women who decline blood during labour: Review of findings and lessons learnt from 52 years of Confidential Enquiries into maternal mortality in the United Kingdom (1962–2019). European Journal of Obstetrics & Gynecology and Reproductive Biology. 271. 20–26. 2 indexed citations
3.
Fortin, P, Sheila Fisher, Karen Madgwick, et al.. (2018). Interventions for improving adherence to iron chelation therapy in people with sickle cell disease or thalassaemia. Cochrane Database of Systematic Reviews. 2018(5). 28 indexed citations
4.
Fortin, P, Karen Madgwick, Marialena Trivella, et al.. (2016). Interventions for improving adherence to iron chelation therapy in people with sickle cell disease or thalassaemia. Cochrane Database of Systematic Reviews. 2016(9). CD012349–CD012349. 28 indexed citations
5.
Grant‐Casey, John & Karen Madgwick. (2010). Assessment of Anaemia in elective pre-operative Orthopaedic patients. Nursing Standard. 24(50). 43–46. 1 indexed citations
6.
Grant‐Casey, John & Karen Madgwick. (2010). Assessment of anaemia in elective pre-operative orthopaedic patients. Nursing Standard. 24(50). 43–46. 1 indexed citations
7.
Hogg, Matthew, et al.. (2010). Management of women who decline blood and blood products in pregnancy. The Obstetrician & Gynaecologist. 12(1). 13–20. 2 indexed citations
8.
Yoong, Wai, Mellisa Damodaram, Karen Madgwick, et al.. (2009). Observer accuracy and reproducibility of visual estimation of blood loss in obstetrics: how accurate and consistent are health-care professionals?. Archives of Gynecology and Obstetrics. 281(2). 207–213. 82 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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