C Dollery

2.1k citations
18 papers · 1.7k indexed · 1 hit paper · h-index 11

Impact in

Papers in

C Dollery

18 papers receiving 1.7k citations

Hit Papers

Matrix Metalloproteinases and Cardiovascular Disease 1995 · 733 citations
7331995202620052015200400600

Peers

C Dollery
Comparison fields: 5 of 97
  • Cancer Research 587
  • Cardiology and Cardiovascular Medicine 586
  • Hematology 286
  • Internal Medicine 69
  • Immunology and Allergy 90
Replace Nobuya Zempo with:
Nobuya Zempo Japan
Alexander Schmeißer Germany
Mercè Roqué Spain
Ernane D. Reis United States
Paul Baskerville United Kingdom
Antonino Cavallaro Italy
Theresa M. Palabrica United States
KL Kaplan United States
GM Vercellotti United States
LA Harker United States
C Dollery relative to Nobuya Zempo Japan Nobuya Zempo's profile →
Citations per field
00.5×2.6×
Nobuya Zempo · 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-authorship network

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 20213
2 200615
3 20031
4 2003184
5 19999
6 19997
7 1999105
8 199954
9 1997271
10 19965
11 199611
12
Gene delivery to the heart in vivo and to cardiac myocytes and vascular smooth muscle cells in vitro using herpes virus vectors.
199634
13 199699
14 19954
15
Matrix Metalloproteinases and Cardiovascular Disease
Hit paper breakdown →
1995733
16 19949
17 1994119
18 199461

About C Dollery

C Dollery is a scholar working on Cancer Research, Emergency Medical Services, Hematology, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (6 papers), Cardiovascular Effects of Exercise (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Virus-based gene therapy research (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Signaling Pathways in Disease (2 papers), Peptidase Inhibition and Analysis (2 papers) and Central Venous Catheters and Hemodialysis (2 papers). The work is most often cited by research in Cancer Research (587 citations), Cardiology and Cardiovascular Medicine (586 citations), Hematology (286 citations), Internal Medicine (69 citations) and Immunology and Allergy (90 citations). C Dollery has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jean R. McEwan, Adriano Henney, Steve E. Humphries, John Deanfield, Alexandra Krettek, Peter Libby, Galina K. Sukhova, Steven D. Shapiro, Caroline A. Owen and Hugh Montgomery. Their work appears in journals such as Circulation, Circulation Research, Annals of the New York Academy of Sciences, Journal of the Royal Society of Medicine and The Annals of Thoracic Surgery.

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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