Dan Taylor

994 citations
30 papers · 674 indexed · h-index 12

Impact in

Papers in

Dan Taylor

29 papers receiving 629 citations

Peers

Dan Taylor
Comparison fields: 5 of 81
  • Developmental Neuroscience 102
  • Nephrology 127
  • Pulmonary and Respiratory Medicine 210
  • Genetics 171
  • Cardiology and Cardiovascular Medicine 127
Replace Michael Lopez with:
Michael Lopez United States
Isabella Moore United Kingdom
Gary D. Bonner United States
Gideon J. du Marchie Sarvaas Netherlands
Αναστασία Τάσιου Greece
Jan G. Post Netherlands
Shintaro Mori Japan
Patrizia Nencini Italy
Andrew Loughney United Kingdom
William H. Moretz United States
Dan Taylor relative to Michael Lopez United States Michael Lopez's profile →
Citations per field
00.5×6.8×
Michael Lopez · 1×
Citations per year

Countries citing papers authored by Dan Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Dan Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Taylor, 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 Dan Taylor Line = papers co-authored together Dan Taylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998262
2 200176
3 200451
4
Choice of surgical technique in the management of congenital cataract.
198147
5 200644
6 196325
7 199123
8 196422
9 196720
10 201919
11 202214
12 197011
13 20247
14 19636
15 19635
16 19605
17 19595
18
Single ventricle with rudimentary chamber. A case unrecognized at open cardiotomy.
19605
19 20224
20 20144

About Dan Taylor

Dan Taylor is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Nephrology, having authored 30 papers that have together received 674 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (10 papers), Cardiac Valve Diseases and Treatments (4 papers), Aortic Disease and Treatment Approaches (4 papers), Mental Health Treatment and Access (3 papers), Renal function and acid-base balance (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Sepsis Diagnosis and Treatment (3 papers) and Cardiovascular and Diving-Related Complications (2 papers). The work is most often cited by research in Developmental Neuroscience (102 citations), Nephrology (127 citations), Pulmonary and Respiratory Medicine (210 citations), Genetics (171 citations) and Cardiology and Cardiovascular Medicine (127 citations). Dan Taylor has collaborated with scholars based in United Kingdom, United States and Ghana. Frequent co-authors include Robert P. Mecham, Gilles Faury, Peter Stenzel, Mark T. Keating, Elise Davis, D. Vérel, Shane M. Tibby, Andrew Durward, Sophie Skellett and I Murdoch. Their work appears in journals such as Heart, Pediatric Anesthesia, British Journal of Anaesthesia, The Lancet and Intensive Care Medicine.

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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