David G. Young

79 papers receiving 1.6k citations

Peers

David G. Young
Comparison fields: 5 of 90
  • Public Health, Environmental and Occupational Health 1.0k
  • Parasitology 199
  • Insect Science 274
  • Epidemiology 585
  • Infectious Diseases 189
Replace Peter V. Perkins with:
Peter V. Perkins Kenya
Govind B. Modi United States
Álvaro Acosta-Serrano United Kingdom
L. Jenni Switzerland
Yara Maria Traub-Csekö Brazil
Elsa L. Segura Argentina
M. Steinert Belgium
Lon‐Fye Lye United States
Jean E. Feagin United States
Richard D. Kreutzer United States
David G. Young relative to Peter V. Perkins Kenya Peter V. Perkins's profile →
Citations per field
00.5×1.5×
Peter V. Perkins · 1×
Citations per year

Countries citing papers authored by David G. Young

Since Specialization
Citations

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

Fields of papers citing papers by David G. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977102
2 198981
3 198380
4 199079
5 199171
6 198759
7 200553
8 198153
9 199246
10 200344
11
Techniques for laboratory rearing of sand flies (Diptera: Psychodidae).
198243
12 200242
13 198741
14 199340
15 198739
16 199238
17 201035
18 198734
19 199031
20 198829

About David G. Young

David G. Young is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Organic Chemistry, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (38 papers), Trypanosoma species research and implications (29 papers), Insect and Pesticide Research (8 papers), Mosquito-borne diseases and control (8 papers), Synthetic Organic Chemistry Methods (6 papers), Fossil Insects in Amber (6 papers), Malaria Research and Control (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.0k citations), Parasitology (199 citations), Insect Science (274 citations), Epidemiology (585 citations) and Infectious Diseases (189 citations). David G. Young has collaborated with scholars based in United States, Colombia and Brazil. Frequent co-authors include R. G. Endris, Alberto Morales, Jerry F. Butler, Peter V. Perkins, Richard D. Kreutzer, G. B. Fairchild, Augusto Corredor, Robert B. Tesh, Bruce Alexander and D. J. Lewis. Their work appears in journals such as Journal of Medical Entomology, American Journal of Tropical Medicine and Hygiene, International Journal for Parasitology, Tetrahedron Letters and The Journal of Organic Chemistry.

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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