Daniel R. Wagner
- Molecular Biology top 5%
- Cancer Research top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Biomedical Engineering top 10%
- Co-authors
- Yvan DevauxMélanie VausortFrancisco AzuajeBlanche SchroenStéphane HeymansMaarten F. CorstenIsabelle ErnensTatiana Kuznetsova
- Topics
- Cardiac Fibrosis and Remodeling (15 papers)Adenosine and Purinergic Signaling (11 papers)MicroRNA in disease regulation (10 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- LuxembourgGermanyUnited States
In The Last Decade
Daniel R. Wagner
78 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.9k
- Cancer Research 1.6k
- Cardiology and Cardiovascular Medicine 922
- Surgery 435
- Biomedical Engineering 264
Countries citing papers authored by Daniel R. Wagner
This map shows the geographic impact of Daniel R. Wagner'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 R. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Wagner more than expected).
Fields of papers citing papers by Daniel R. Wagner
This network shows the impact of papers produced by Daniel R. Wagner. 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 R. Wagner. The network helps show where Daniel R. Wagner may publish in the future.
Co-authorship network of co-authors of Daniel R. Wagner
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Wagner. A scholar is included among the top collaborators of Daniel R. Wagner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel R. Wagner. Daniel R. Wagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 21 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 72 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 76 | |
| 9 | 105 | |
| 10 | 59 | |
| 11 | 12 | |
| 12 | 49 | |
| 13 | 7 | |
| 14 | Circulating MicroRNA-208b and MicroRNA-499 Reflect Myocardial Damage in Cardiovascular Diseasebreakdown → | 638 |
| 15 | 1 | |
| 16 | 177 | |
| 17 | Cell therapy for severe chronic heart failure: the Luxembourg experience. | 5 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 4 |
About Daniel R. Wagner
Daniel R. Wagner is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 78 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (15 papers), Adenosine and Purinergic Signaling (11 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Cancer Research (1.6k citations), Physiology (189 citations) and Cardiology and Cardiovascular Medicine (922 citations). Daniel R. Wagner has collaborated with scholars based in Luxembourg, Germany and United States. Frequent co-authors include Yvan Devaux, Mélanie Vausort, Francisco Azuaje, Blanche Schroen, Stéphane Heymans, Maarten F. Corsten, Isabelle Ernens, Tatiana Kuznetsova, Jan A. Staessen and Sylvia H. J. Jochems. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Bioinformatics.
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.