David Cleary

77 papers receiving 1.9k citations

David Cleary's Hit Papers

Secondary Bacterial Infections Associated with Influenza Pandemics 2017 · 396 citations
3960+3+6Years since publication100200300

Peers

David Cleary
Comparison fields: 5 of 155
  • Applied Microbiology and Biotechnology 87
  • Health, Toxicology and Mutagenesis 607
  • Microbiology 158
  • Molecular Medicine 125
  • Pollution 196
Replace Meghan F. Davis with:
Meghan F. Davis United States
David A. Preston United States
Habib Bokhari Pakistan
Hemda Garelick United Kingdom
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Eduardo Castro‐Nallar Chile
Stella M. Hartinger Peru
Francisco Javier Castillo Spain
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Citations per year

Countries citing papers authored by David Cleary

Since Specialization
Citations

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

Fields of papers citing papers by David Cleary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Secondary Bacterial Infections Associated with Influenza Pandemics
Hit paper breakdown →
2017396
2 1999271
3
Establishment and analytical quality control of laboratories for Hg determination in biological and geological samples in the Amazon, Brazil
1998128
4 1990104
5 199394
6 200082
7 200164
8 201762
9 200154
10 201653
11 200247
12 199443
13 200639
14 201738
15 201736
16 202236
17 202127
18 201427
19 202125
20 201924

About David Cleary

David Cleary is a scholar working on Epidemiology, Molecular Biology, Microbiology, Molecular Medicine and Health, Toxicology and Mutagenesis, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (24 papers), Bacterial Infections and Vaccines (14 papers), Respiratory viral infections research (12 papers), Antibiotic Resistance in Bacteria (10 papers), Gut microbiota and health (8 papers), Mercury impact and mitigation studies (7 papers), Vibrio bacteria research studies (6 papers) and Heavy Metal Exposure and Toxicity (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (87 citations), Health, Toxicology and Mutagenesis (607 citations), Microbiology (158 citations), Molecular Medicine (125 citations) and Pollution (196 citations). David Cleary has collaborated with scholars based in United Kingdom, Malaysia and United States. Frequent co-authors include Stuart C. Clarke, Denise E. Morris, Elisabeth Conceição de Oliveira Santos, Philippe Grandjean, Roberta F. White, Anne Bjerg Nielsen, Olaf Malm, Wanderley Rodrigues Bastos, W.C. Pfeiffer and I. Thornton. Their work appears in journals such as Microbial Genomics, Journal of Medical Microbiology, Conservation Biology, Vaccine and mSphere.

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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