Danielle V. Clark

1.3k citations
42 papers · 759 · h-index 14

Impact in

Papers in

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

Danielle V. Clark

39 papers receiving 729 citations

Peers

Danielle V. Clark
Comparison fields: 5 of 105
  • Infectious Diseases 259
  • Modeling and Simulation 51
  • Emergency Medical Services 61
  • Small Animals 63
  • Public Health, Environmental and Occupational Health 183
Replace Kapay Kibadi with:
Kapay Kibadi Democratic Republic of the Congo
John S. Schieffelin United States
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Mark G. Kortepeter United States
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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 2005144
2 2015138
3 202072
4 201061
5 201244
6 200935
7 201231
8 201324
9 201821
10 202218
11 202116
12 201716
13 202214
14 201913
15 201412
16 202112
17 201810
18 20098
19 20187
20 20117

About Danielle V. Clark

Danielle V. Clark is a scholar working on Epidemiology, Infectious Diseases, Biomedical Engineering, Molecular Biology and Health, having authored 42 papers that have together received 759 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (7 papers), Viral Infections and Outbreaks Research (6 papers), Viral Infections and Vectors (4 papers), Sepsis Diagnosis and Treatment (4 papers), Vaccine Coverage and Hesitancy (4 papers), Biosensors and Analytical Detection (3 papers), Ultrasound in Clinical Applications (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Infectious Diseases (259 citations), Modeling and Simulation (51 citations), Emergency Medical Services (61 citations), Small Animals (63 citations) and Public Health, Environmental and Occupational Health (183 citations). Danielle V. Clark has collaborated with scholars based in United States, United Kingdom and Ghana. Frequent co-authors include Timothy P. Endy, Matthew J. Hepburn, Ananda Nisalak, Mammen P. Mammen, Kevin L. Schully, James V. Lawler, Subramaniam Krishnan, Sriram Muthukumar, Shalini Prasad and Peter B. Jahrling. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Frontiers in Microbiology, BMC Infectious Diseases, Emerging infectious diseases and Biosensors and Bioelectronics.

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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