John A. D. Leake

28 papers receiving 1.4k citations

John A. D. Leake's Hit Papers

Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid 2019 · 383 citations
3830+2+4Years since publication100200300

Peers

John A. D. Leake
Comparison fields: 5 of 81
  • Microbiology 265
  • Parasitology 193
  • Infectious Diseases 343
  • Epidemiology 461
  • Hepatology 104
Replace Chusana Suankratay with:
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Christoph Steininger Austria
Stephen J. Gluckman United States
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Citations per year

Countries citing papers authored by John A. D. Leake

Since Specialization
Citations

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

Fields of papers citing papers by John A. D. Leake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. D. Leake. 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 John A. D. Leake. The network helps show where John A. D. Leake may publish in the future.

Co-authors

The 25 scholars most cited alongside John A. D. Leake, 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 John A. D. Leake Line = papers co-authored together John A. D. Leake links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid
Hit paper breakdown →
2019383
2 2004262
3 1998136
4 2016107
5 200574
6 200673
7 199972
8 200054
9 200227
10 201223
11 200922
12 201219
13 200719
14 200318
15 199817
16 200517
17 201117
18 198914
19 201312
20 201812

About John A. D. Leake

John A. D. Leake is a scholar working on Infectious Diseases, Epidemiology, Parasitology, Public Health, Environmental and Occupational Health and Microbiology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (5 papers), Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (3 papers), Leptospirosis research and findings (3 papers), Neuroendocrine regulation and behavior (2 papers), Malaria Research and Control (2 papers), Electrolyte and hormonal disorders (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Microbiology (265 citations), Parasitology (193 citations), Infectious Diseases (343 citations), Epidemiology (461 citations) and Hepatology (104 citations). John A. D. Leake has collaborated with scholars based in United States, United Kingdom and Indonesia. Frequent co-authors include John S. Bradley, Bradley A. Perkins, Mark Nespeca, Glenn F. Billman, Mark H. Sawyer, Melvin O. Senac, Salvatore Albani, Annie S. Kao, Amy Paulino and Melinda Wharton. Their work appears in journals such as The Pediatric Infectious Disease Journal, American Journal of Tropical Medicine and Hygiene, Emerging infectious diseases, PEDIATRICS and Pediatric Nephrology.

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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