Eva Dony

1.2k citations
15 papers · 990 indexed · h-index 11

Impact in

    • Pulmonary Hypertension Research and Treatments
    • Neonatal Respiratory Health Research
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
    • Eicosanoids and Hypertension Pharmacology

Papers in

Eva Dony

15 papers receiving 980 citations

Peers

Eva Dony
Comparison fields: 5 of 82
  • Pulmonary and Respiratory Medicine 605
  • Biochemistry 107
  • Cardiology and Cardiovascular Medicine 276
  • Physiology 296
  • Endocrine and Autonomic Systems 59
Replace Akylbek Sydykov with:
Akylbek Sydykov Germany
Parag Goyal Germany
Audrey Noguchi United States
Kimberly G. Norman United States
Aiguo Dai China
Harry A.J. Struijker Boudier Netherlands
Kazuya Miyashita Japan
Bertrand Toutain France
Sarah Tonack Germany
Todd R. Horn United States
Eva Dony relative to Akylbek Sydykov Germany Akylbek Sydykov's profile →
Citations per field
00.5×3.7×
Akylbek Sydykov · 1×
Citations per year

Countries citing papers authored by Eva Dony

Since Specialization
Citations

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

Fields of papers citing papers by Eva Dony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2007283
2 2006185
3 2008120
4 200874
5 200968
6 200755
7 200953
8 201537
9 200935
10 200833
11 200727
12 20218
13 20195
14 20215
15 20172

About Eva Dony

Eva Dony is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Biochemistry, having authored 15 papers that have together received 990 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (7 papers), Carcinogens and Genotoxicity Assessment (5 papers), Genetically Modified Organisms Research (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Nanoparticles: synthesis and applications (2 papers), Renin-Angiotensin System Studies (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (605 citations), Biochemistry (107 citations), Cardiology and Cardiovascular Medicine (276 citations), Physiology (296 citations) and Endocrine and Autonomic Systems (59 citations). Eva Dony has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Ralph T. Schermuly, Werner Seeger, Friedrich Grimminger, Hossein Ardeschir Ghofrani, Norbert Weißmann, Harald Schmidt, Rio Dumitrascu, Soni Savai Pullamsetti, Grażyna Kwapiszewska and Knut Beuerlein. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, European Respiratory Journal, Circulation, Mutagenesis and Journal of Hypertension.

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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