David Cox

40 papers receiving 1.9k citations

Peers

David Cox
Comparison fields: 5 of 118
  • Rehabilitation 157
  • Physiology 114
  • Biological Psychiatry 36
  • Internal Medicine 46
  • Immunology and Allergy 76
Replace William L. Henry with:
William L. Henry United States
Wei Xing China
Archibald McNicol Canada
Grzegorz Sawicki Canada
Kenneth M. Meyers United States
Roswitha Sgonc Austria
Dinghong Min China
Daniel Fishman Israel
Chen Yang China
Neil A. Turner United Kingdom
David Cox relative to William L. Henry United States William L. Henry's profile →
Citations per field
00.5×4.2×
William L. Henry · 1×
Citations per year

Countries citing papers authored by David Cox

Since Specialization
Citations

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

Fields of papers citing papers by David Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991263
2 1999245
3 1993149
4
Enhanced expression of transforming growth factor-beta type I and type II receptors in wound granulation tissue and hypertrophic scar.
1998137
5 1996122
6 1993109
7 1992109
8 199598
9 198574
10 200973
11 197960
12 199150
13 201449
14 198344
15 200437
16 198532
17 197328
18 199224
19 201920
20
Defining the Length of Stay Following Percutaneous Coronary Intervention: An Expert Consensus Document From the Society for Cardiovascular Angiography and Interventions
200920

About David Cox

David Cox is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Parasitic infections in humans and animals (5 papers), Tryptophan and brain disorders (4 papers), Vascular Procedures and Complications (3 papers), Parasitic Infections and Diagnostics (3 papers), Congenital Anomalies and Fetal Surgery (3 papers), Coronary Interventions and Diagnostics (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Rehabilitation (157 citations), Physiology (114 citations), Biological Psychiatry (36 citations), Internal Medicine (46 citations) and Immunology and Allergy (76 citations). David Cox has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Gary McMaster, Mohammed A. Matlib, Graeme Bilbe, Peter Schmid, Rainer Maier, Anthony H. Ingall, Robert R. Bürk, Nico Cerletti, Peter Itin and Chao Bi. Their work appears in journals such as Journal of Medicinal Chemistry, Catheterization and Cardiovascular Interventions, Journal of the American College of Cardiology, FEBS Letters and Development.

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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