John Stickley

1.8k citations
62 papers · 1.3k · h-index 20

Impact in

Papers in

John Stickley

56 papers receiving 1.2k citations

Peers

John Stickley
Comparison fields: 5 of 81
  • Epidemiology 803
  • Pulmonary and Respiratory Medicine 333
  • Nephrology 76
  • Cardiology and Cardiovascular Medicine 168
  • Surgery 282
Replace Lena W. Chen with:
Lena W. Chen United States
Karan Sud United States
Saibal Mukhopadhyay India
Jürgen Ennker Germany
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Sowmya Balasubramanian United States
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Citations per year

Countries citing papers authored by John Stickley

Since Specialization
Citations

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

Fields of papers citing papers by John Stickley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201199
2 200980
3 200680
4 202377
5 202365
6 201362
7 200657
8 201754
9 200149
10 201748
11 200738
12 200936
13 201735
14 201135
15 201232
16 201431
17 201728
18 201825
19 201225
20 201723

About John Stickley

John Stickley is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (35 papers), Sepsis Diagnosis and Treatment (4 papers), Aortic Disease and Treatment Approaches (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Tracheal and airway disorders (2 papers), Hemodynamic Monitoring and Therapy (2 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Epidemiology (803 citations), Pulmonary and Respiratory Medicine (333 citations), Nephrology (76 citations), Cardiology and Cardiovascular Medicine (168 citations) and Surgery (282 citations). John Stickley has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David James Barron, William J. Brawn, Timothy J.J. Jones, Oliver Stümper, Bharat Ramchandani, Bari Murtuza, Chetan Mehta, Simon Prosser McGuirk, Natasha E. Khan and Nigel E Drury. Their work appears in journals such as European Journal of Cardio-Thoracic Surgery, The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, Intensive Care Medicine and Archives of Disease in Childhood.

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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