Matthew Cauldwell

1.3k citations
48 papers · 570 · h-index 16

Impact in

Papers in

Matthew Cauldwell

44 papers receiving 550 citations

Peers

Matthew Cauldwell
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 305
  • Obstetrics and Gynecology 90
  • Epidemiology 125
  • Surgery 160
  • Pediatrics, Perinatology and Child Health 60
Replace Chizuko Kamiya with:
Chizuko Kamiya Japan
Marisol T. Betancourt Canada
H. Sawhney India
Mordechai Dulitzki Israel
Eva Mocarski Canada
Matthew Sermer Canada
Rivka Farkash Israel
David Bayne United States
Walkíria Samuel Ávila Brazil
Bert Nagel Austria
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Citations per field
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Chizuko Kamiya · 1×
Citations per year

Countries citing papers authored by Matthew Cauldwell

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Cauldwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Cauldwell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Cauldwell Line = papers co-authored together Matthew Cauldwell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201641
2 201636
3 202232
4 202031
5 201729
6 201826
7 201524
8 202023
9 201823
10 201621
11 201720
12 201619
13 202118
14 201816
15 202015
16 201715
17 202313
18 201713
19 201713
20 200713

About Matthew Cauldwell

Matthew Cauldwell is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Epidemiology, having authored 48 papers that have together received 570 indexed citations. Recurring topics across this work include Cardiovascular Issues in Pregnancy (28 papers), Cardiac Structural Anomalies and Repair (12 papers), Cardiac Arrhythmias and Treatments (5 papers), Congenital Heart Disease Studies (3 papers), Gestational Diabetes Research and Management (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Maternal and fetal healthcare (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (305 citations), Obstetrics and Gynecology (90 citations), Epidemiology (125 citations), Surgery (160 citations) and Pediatrics, Perinatology and Child Health (60 citations). Matthew Cauldwell has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Philip Steer, Mark R. Johnson, Michael Α. Gatzoulis, Lorna Swan, Anselm Uebing, Catherine Nelson‐Piercy, Jolien W. Roos‐Hesselink, Roshni Patel, D.P. Dob and Lucia Baris. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, International Journal of Cardiology, Heart, European Heart Journal and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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