Danielle V. Clark

1.2k citations
42 papers · 729 · h-index 13

Impact in

Papers in

    • Burkholderia infections and melioidosis 8
    • Sepsis Diagnosis and Treatment 7
    • Viral Infections and Outbreaks Research 6
    • Viral Infections and Vectors 4

Danielle V. Clark

37 papers receiving 696 citations

Peers

Danielle V. Clark
Comparison fields: 5 of 108
  • Infectious Diseases 305
  • Emergency Medical Services 95
  • Modeling and Simulation 61
  • Small Animals 70
  • Public Health, Environmental and Occupational Health 199
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James McAuley United States
E Van den Enden Belgium
Monica Musenero Uganda
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Citations per field
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Citations per year

Countries citing papers authored by Danielle V. Clark

Since Specialization
Citations

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

Fields of papers citing papers by Danielle V. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005142
2 2015135
3 202068
4 201060
5 201245
6 200933
7 201231
8 201323
9 201819
10 202116
11 201716
12 202215
13 201412
14 202212
15 202112
16 201911
17 201810
18 20117
19 20097
20 20196

About Danielle V. Clark

Danielle V. Clark is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Biomedical Engineering and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 729 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (8 papers), Sepsis Diagnosis and Treatment (7 papers), Viral Infections and Outbreaks Research (6 papers), Vaccine Coverage and Hesitancy (4 papers), Viral Infections and Vectors (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Chemical Looping and Thermochemical Processes (4 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). The work is most often cited by research in Infectious Diseases (305 citations), Emergency Medical Services (95 citations), Modeling and Simulation (61 citations), Small Animals (70 citations) and Public Health, Environmental and Occupational Health (199 citations). Danielle V. Clark has collaborated with scholars based in United States, United Kingdom and Ghana. Frequent co-authors include Matthew J. Hepburn, Mammen P. Mammen, Ananda Nisalak, Timothy P. Endy, Kevin L. Schully, James V. Lawler, Subramaniam Krishnan, Shalini Prasad, Ambalika Sanjeev Tanak and Peter B. Jahrling. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, BMC Infectious Diseases, Emerging infectious diseases, Frontiers in Microbiology and Clinical Infectious Diseases.

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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