D. Enever

411 citations
6 papers · 284 · 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

    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 5
    • Neonatal Respiratory Health Research 2
    • Pleural and Pulmonary Diseases 1
    • Medical Imaging and Pathology Studies 1
    • Chronic Obstructive Pulmonary Disease (COPD) Research 1
    • Transplantation: Methods and Outcomes 3
    • Tissue Engineering and Regenerative Medicine 1

D. Enever

6 papers receiving 272 citations

Peers

D. Enever
Comparison fields: 5 of 44
  • Genetics 142
  • Pulmonary and Respiratory Medicine 174
  • Transplantation 10
  • Surgery 107
  • Biomaterials 15
Replace Nadim Srour with:
Nadim Srour Canada
Holger Karbach Sweden
Shinya Yokote Japan
Ellen Mønsted Johansen Denmark
Chengxin Deng China
W. Massoud France
Haijiang Tong China
Meng‐Xia Deng China
Bruna Amorin Brazil
Shuichiro Yamanaka Japan
D. Enever relative to Nadim Srour Canada Nadim Srour's profile →
Citations per field
00.5×2.6×
Nadim Srour · 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

6 of 6 papers shown
#Work
1 2014198
2 201765
3 202114
4 20144
5 20162
6 20121

About D. Enever

D. Enever is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Genetics, Physiology and Infectious Diseases, having authored 6 papers that have together received 284 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Mesenchymal stem cell research (3 papers), Transplantation: Methods and Outcomes (3 papers), Neonatal Respiratory Health Research (2 papers), Pleural and Pulmonary Diseases (1 paper), Medical Imaging and Pathology Studies (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). The work is most often cited by research in Genetics (142 citations), Pulmonary and Respiratory Medicine (174 citations), Transplantation (10 citations), Surgery (107 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, Lisa Sparks, Dalia Khalil, Kerry Atkinson, Nina Ilić, Richard Herrmann, Sharon Lawrence and Marian Sturm. Their work appears in journals such as The Journal of Heart and Lung Transplantation, BMJ Open Respiratory Research, Cytotherapy, Stem Cells Translational Medicine and Respirology.

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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