Gerald L. McLaughlin

791 citations
22 papers · 641 · h-index 11

Impact in

    • Parasitic Infections and Diagnostics
    • Vector-borne infectious diseases
    • Legionella and Acanthamoeba research

Papers in

Gerald L. McLaughlin

22 papers receiving 624 citations

Peers

Gerald L. McLaughlin
Comparison fields: 5 of 60
  • Parasitology 236
  • Endocrinology 77
  • Insect Science 94
  • Epidemiology 251
  • Small Animals 42
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G L McLaughlin United States
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Nobuko Arisue Japan
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Citations per year

Countries citing papers authored by Gerald L. McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Gerald L. McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald L. McLaughlin. 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 Gerald L. McLaughlin. The network helps show where Gerald L. McLaughlin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996173
2 2001155
3 199264
4 199255
5 199637
6 198929
7
EMPLOYMENT OF THE POLYMERASE CHAIN REACTION IN THE MOLECULAR DIFFERENTIATION OF REPTILIAN HEMOGREGARINES AND ITS APPLICATION TO PREVENTATIVE ZOOLOGICAL MEDICINE
199429
8 199926
9 199318
10 199613
11 198610
12 20009
13 19963
14 19933
15 19853
16
Molecular differentiation of two new world saurian Plasmodium species in different host species using the polymerase chain reaction.
19963
17 19853
18 19962
19 19962
20 19832

About Gerald L. McLaughlin

Gerald L. McLaughlin is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, Epidemiology and Parasitology, having authored 22 papers that have together received 641 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Protist diversity and phylogeny (5 papers), Mosquito-borne diseases and control (5 papers), Tuberculosis Research and Epidemiology (3 papers), Aquaculture disease management and microbiota (3 papers), Viral Infections and Vectors (3 papers), Vector-borne infectious diseases (3 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Parasitology (236 citations), Endocrinology (77 citations), Insect Science (94 citations), Epidemiology (251 citations) and Small Animals (42 citations). Gerald L. McLaughlin has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Michael H. Vodkin, Marc Desquesnes, Alberto M. R. Dávila, Helena Edlund, Govinda S. Visvesvara, Säntosh K. Katiyar, Daniel K. Howe, Edward J. Wozniak, Sam R. Telford and G. S. Visvesvara. Their work appears in journals such as International Journal for Parasitology, American Journal of Tropical Medicine and Hygiene, Gene, Infection and Immunity and Biochemical Journal.

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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