C Dollery

18 papers receiving 1.7k citations

C Dollery's Hit Papers

Matrix Metalloproteinases and Cardiovascular Disease 1995 · 768 citations
7680+10+20Years since publication250500750

Peers

C Dollery
Comparison fields: 5 of 95
  • Cancer Research 496
  • Cardiology and Cardiovascular Medicine 503
  • Hematology 230
  • Internal Medicine 65
  • Immunology and Allergy 73
Replace Ernane D. Reis with:
Ernane D. Reis United States
Karen L. Kaplan United States
Antonino Cavallaro Italy
Stephen Benoit United States
GM Vercellotti United States
LA Harker United States
George Stavrakis United States
Shenming Wang China
Clemens Feistritzer Austria
Lucia Catani Italy
C Dollery relative to Ernane D. Reis United States Ernane D. Reis's profile →
Citations per field
00.5×3.5×
Ernane D. Reis · 1×
Citations per year

Countries citing papers authored by C Dollery

Since Specialization
Citations

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

Fields of papers citing papers by C Dollery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Matrix Metalloproteinases and Cardiovascular Disease
Hit paper breakdown →
1995768
2 1997282
3 2003189
4 1994129
5 1999110
6 1996102
7 199469
8 199956
9
Gene delivery to the heart in vivo and to cardiac myocytes and vascular smooth muscle cells in vitro using herpes virus vectors.
199635
10 200619
11 199614
12 19949
13 19999
14 19997
15 19965
16 19954
17 20213
18 20031

About C Dollery

C Dollery is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine, Epidemiology, Hematology and Genetics, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (6 papers), Cardiovascular Effects of Exercise (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Cardiac Structural Anomalies and Repair (2 papers), Central Venous Catheters and Hemodialysis (2 papers), Virus-based gene therapy research (2 papers), Body Composition Measurement Techniques (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Cancer Research (496 citations), Cardiology and Cardiovascular Medicine (503 citations), Hematology (230 citations), Internal Medicine (65 citations) and Immunology and Allergy (73 citations). C Dollery has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Jean R. McEwan, Adriano Henney, John Deanfield, Galina K. Sukhova, Alexandra Krettek, Steven D. Shapiro, Peter Libby, Caroline A. Owen, Catherine Bull and Peter J. Milla. Their work appears in journals such as Circulation, Circulation Research, Annals of the New York Academy of Sciences, Journal of Pediatric Gastroenterology and Nutrition and Arteriosclerosis Thrombosis and Vascular 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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