Daniel E. Clark

1.6k citations
58 papers · 605 · h-index 15

Impact in

    • Viral Infections and Vectors
    • COVID-19 Clinical Research Studies
    • Influenza Virus Research Studies
    • Congenital Heart Disease Studies

Papers in

    • Kawasaki Disease and Coronary Complications 6
    • Cardiac Structural Anomalies and Repair 5
    • Transplantation: Methods and Outcomes 4
    • Congenital Heart Disease Studies 12

Daniel E. Clark

50 papers receiving 584 citations

Peers

Daniel E. Clark
Comparison fields: 5 of 83
  • Infectious Diseases 105
  • Epidemiology 157
  • Agronomy and Crop Science 52
  • Cardiology and Cardiovascular Medicine 99
  • Surgery 166
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Daniel E. Clark relative to Catherine Duffy United Kingdom Catherine Duffy's profile →
Citations per field
00.5×10×13×
Catherine Duffy · 1×
Citations per year

Countries citing papers authored by Daniel E. Clark

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Clark. 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 E. Clark. The network helps show where Daniel E. Clark may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202274
2 202146
3 201742
4 202134
5 202025
6 202324
7 201924
8 201622
9 201821
10 200721
11 202021
12 201919
13 202219
14 201615
15 201914
16 201713
17 201813
18 201711
19 197310
20 20229

About Daniel E. Clark

Daniel E. Clark is a scholar working on Surgery, Epidemiology, Cardiology and Cardiovascular Medicine, Ecology and Infectious Diseases, having authored 58 papers that have together received 605 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (12 papers), Avian ecology and behavior (7 papers), Kawasaki Disease and Coronary Complications (6 papers), Wildlife Ecology and Conservation (5 papers), Cardiac Structural Anomalies and Repair (5 papers), Viral Infections and Vectors (4 papers), Viral Infections and Immunology Research (4 papers) and Transplantation: Methods and Outcomes (4 papers). The work is most often cited by research in Infectious Diseases (105 citations), Epidemiology (157 citations), Agronomy and Crop Science (52 citations), Cardiology and Cardiovascular Medicine (99 citations) and Surgery (166 citations). Daniel E. Clark has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kara Denby, Larry W. Markham, Natasha Halasa, Giovanni Davogustto, Sean G. Hughes, Jonathan N. Menachem, Stephen DeStefano, Jeffrey M. Dendy, John E. McDonald and Quinn S. Wells. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Journal of Wildlife Management, PLoS neglected tropical diseases, JACC CardioOncology and Movement Ecology.

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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