David J. Wolking

1.3k citations
14 papers · 293 · h-index 9

Impact in

    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 epidemiological studies

Papers in

David J. Wolking

13 papers receiving 288 citations

Peers

David J. Wolking
Comparison fields: 5 of 53
  • Infectious Diseases 165
  • Modeling and Simulation 37
  • Agronomy and Crop Science 75
  • Public Health, Environmental and Occupational Health 151
  • Virology 17
Replace Winyi Kaboyo with:
Winyi Kaboyo Uganda
Jaber Belkhiria United States
Mahamat Fayiz Abakar Switzerland
S.S. Baba Nigeria
Mathew Muturi Kenya
Christine Kreuder Johnson United States
Austine Bitek Kenya
Surendra Karki United States
Kariuki Njenga United States
Watthana Theppangna Laos
David J. Wolking relative to Winyi Kaboyo Uganda Winyi Kaboyo's profile →
Citations per field
00.5×3.1×
Winyi Kaboyo · 1×
Citations per year

Countries citing papers authored by David J. Wolking

Since Specialization
Citations

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

Fields of papers citing papers by David J. Wolking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Wolking. 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 David J. Wolking. The network helps show where David J. Wolking may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202099
2 202142
3 201531
4 202027
5 201821
6 201420
7 202014
8 202010
9 202010
10 20226
11 20205
12 20175
13 20163
14 20230

About David J. Wolking

David J. Wolking is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 293 indexed citations. Recurring topics across this work include Zoonotic diseases and public health (9 papers), Viral Infections and Vectors (7 papers), Animal Disease Management and Epidemiology (5 papers), Bat Biology and Ecology Studies (3 papers), COVID-19 epidemiological studies (2 papers), Viral Infections and Outbreaks Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Infectious Diseases (165 citations), Modeling and Simulation (37 citations), Agronomy and Crop Science (75 citations), Public Health, Environmental and Occupational Health (151 citations) and Virology (17 citations). David J. Wolking has collaborated with scholars based in United States, Tanzania and United Kingdom. Frequent co-authors include Jonna A. K. Mazet, Woutrina Smith, Rudovick Kazwala, Corina Monagin, Kirsten Gilardi, T. Ross Kelly, Julius Nziza, Karen Saylors, Catherine Machalaba and Damien O. Joly. Their work appears in journals such as EcoHealth, PLoS ONE, PLoS Computational Biology, PLoS neglected tropical diseases and Pastoralism Research Policy and Practice.

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.

Explore authors with similar magnitude of impact