Daniel P. Griese

1.9k citations
32 papers · 1.5k · h-index 18

Impact in

Papers in

Daniel P. Griese

32 papers receiving 1.4k citations

Peers

Daniel P. Griese
Comparison fields: 5 of 95
  • Cardiology and Cardiovascular Medicine 569
  • Genetics 127
  • Molecular Biology 699
  • Biomaterials 121
  • Emergency Medicine 84
Replace Michele Torella with:
Michele Torella Italy
Tzu‐Hsien Tsai Taiwan
Tetsuya Tatsumi Japan
Kenichi Matsushita Japan
Elias Zias United States
Alexander Schmeißer Germany
Dominique PV de Kleijn Netherlands
Hiroji Imamura Japan
Marc Hendrikx Belgium
Kari Ylitalo Finland
Daniel P. Griese relative to Michele Torella Italy Michele Torella's profile →
Citations per field
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Michele Torella · 1×
Citations per year

Countries citing papers authored by Daniel P. Griese

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Griese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Griese. 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 Daniel P. Griese. The network helps show where Daniel P. Griese may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003367
2 2002242
3 1999135
4 1997103
5 200488
6 201369
7 201457
8 200347
9 199742
10 200233
11 200329
12 200428
13 201324
14 199724
15 199521
16 200720
17 201719
18 201019
19 201117
20 201714

About Daniel P. Griese

Daniel P. Griese is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Infective Endocarditis Diagnosis and Management (7 papers), Cardiovascular Function and Risk Factors (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Hormonal Regulation and Hypertension (3 papers), Coronary Interventions and Diagnostics (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (569 citations), Genetics (127 citations), Molecular Biology (699 citations), Biomaterials (121 citations) and Emergency Medicine (84 citations). Daniel P. Griese has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Victor J. Dzau, Afshin Ehsan, Luis G. Melo, Michael J. Mann, Lunan Zhang, Deling Kong, Richard E. Pratt, Richard C. Mulligan, Wilko Reents and Sebastian Kerber. Their work appears in journals such as Catheterization and Cardiovascular Interventions, Cardiovascular Drugs and Therapy, Cardiovascular Pathology, Circulation and British Journal of Dermatology.

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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