Daniela Fliegner

1.3k citations
19 papers · 996 · h-index 14

Impact in

Papers in

Daniela Fliegner

19 papers receiving 984 citations

Peers

Daniela Fliegner
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 396
  • Endocrinology, Diabetes and Metabolism 177
  • Geriatrics and Gerontology 20
  • Genetics 160
  • Cancer Research 66
Replace Tokumitsu Watanabe with:
Tokumitsu Watanabe Japan
Shaojun Wen China
Roberta Minotti Switzerland
Francesca Urbano Italy
Laura A. Villalobos Spain
Weihui Yu China
Clare A. Flannery United States
Fiona O’Mahony Ireland
Ryan Kopp United States
Daniela Fliegner relative to Tokumitsu Watanabe Japan Tokumitsu Watanabe's profile →
Citations per field
00.5×5.8×
Tokumitsu Watanabe · 1×
Citations per year

Countries citing papers authored by Daniela Fliegner

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Fliegner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2010206
2 2008122
3 201890
4 201388
5 201670
6 201467
7 201158
8 201256
9 201446
10 201745
11 201938
12 201236
13 200824
14 201224
15 20197
16 20227
17 20236
18 20154
19 20142

About Daniela Fliegner

Daniela Fliegner is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 996 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (7 papers), Estrogen and related hormone effects (5 papers), Hormonal Regulation and Hypertension (5 papers), Cardiovascular Effects of Exercise (2 papers), Sex and Gender in Healthcare (2 papers), Renin-Angiotensin System Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (396 citations), Endocrinology, Diabetes and Metabolism (177 citations), Geriatrics and Gerontology (20 citations), Genetics (160 citations) and Cancer Research (66 citations). Daniela Fliegner has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Vera Regitz‐Zagrosek, Georgios Kararigas, Elke Dworatzek, Carola Schubert, Jan-Ακε Gustafsson, Adam Penkalla, Shokoufeh Mahmoodzadeh, Hugo Sanchez‐Ruderisch, Henning Witt and Patricia Ruíz. Their work appears in journals such as Cardiovascular Research, Handbook of experimental pharmacology, PLoS ONE, European Journal of Heart Failure and Mitochondrion.

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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