D. Enever

416 citations
7 papers · 302 · h-index 4

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
    • Neonatal Respiratory Health Research
    • Medical Imaging and Pathology Studies
    • Pulmonary Hypertension Research and Treatments

Papers in

    • Transplantation: Methods and Outcomes 3
    • Tissue Engineering and Regenerative Medicine 2
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 3
    • Pulmonary Hypertension Research and Treatments 1
    • Neonatal Respiratory Health Research 1

D. Enever

6 papers receiving 289 citations

Peers

D. Enever
Comparison fields: 5 of 41
  • Genetics 137
  • Pulmonary and Respiratory Medicine 167
  • Transplantation 11
  • Surgery 101
  • Biomaterials 15
Replace Shinya Yokote with:
Shinya Yokote Japan
Holger Karbach Sweden
John J. Park United States
Kang Zhou China
Ellen Mønsted Johansen Denmark
Cheng-Hsi Su Taiwan
Laurent Mhanna France
Kaoutar Hafraoui Belgium
Huaping Wei China
Haijiang Tong China
D. Enever relative to Shinya Yokote Japan Shinya Yokote's profile →
Citations per field
00.5×2×2.8×
Shinya Yokote · 1×
Citations per year

Countries citing papers authored by D. Enever

Since Specialization
Citations

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

Fields of papers citing papers by D. Enever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2014208
2 201769
3 202117
4 20144
5 20122
6 20162
7 20130

About D. Enever

D. Enever is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Genetics, Physiology and Biomedical Engineering, having authored 7 papers that have together received 302 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Transplantation: Methods and Outcomes (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Pulmonary Hypertension Research and Treatments (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Mechanical Circulatory Support Devices (1 paper) and Neonatal Respiratory Health Research (1 paper). The work is most often cited by research in Genetics (137 citations), Pulmonary and Respiratory Medicine (167 citations), Transplantation (11 citations), Surgery (101 citations) and Biomaterials (15 citations). D. Enever has collaborated with scholars based in Australia. Frequent co-authors include Daniel C. Chambers, Stephanie T. Yerkovich, Peter Hopkins, Kerry Atkinson, Nina Ilić, Lisa Sparks, Dalia Khalil, Marian Sturm, Michael Musk and Sharon Lawrence. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Stem Cells Translational Medicine, BMJ Open Respiratory Research, Respirology and Cytotherapy.

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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