John Marlett

1.9k citations
14 papers · 898 · h-index 12

Impact in

Papers in

    • Bacillus and Francisella bacterial research 6
    • CRISPR and Genetic Engineering 2
    • Bacterial Genetics and Biotechnology 5
    • Yersinia bacterium, plague, ectoparasites research 2
    • Virus-based gene therapy research 1

John Marlett

14 papers receiving 882 citations

Peers

John Marlett
Comparison fields: 5 of 62
  • Virology 211
  • Business and International Management 65
  • Aging 22
  • Molecular Biology 692
  • Genetics 235
Replace Shuliang Chen with:
Shuliang Chen China
Yuka Kanemura Japan
Elena Herrera-Carrillo Netherlands
Sojan Abraham United States
Monique Vink Netherlands
Adam W. Whisnant Germany
Lara Manganaro Italy
Yaw Shin Ooi United States
Zsolt Balázs Hungary
John Naughton United States
John Marlett relative to Shuliang Chen China Shuliang Chen's profile →
Citations per field
00.5×1.5×
Shuliang Chen · 1×
Citations per year

Countries citing papers authored by John Marlett

Since Specialization
Citations

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

Fields of papers citing papers by John Marlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2015273
2 2018135
3 2015110
4 200576
5 200769
6 200454
7 200638
8 200735
9 201125
10 200824
11 201424
12 202222
13 20207
14 20036

About John Marlett

John Marlett is a scholar working on Molecular Biology, Genetics, Virology, Infectious Diseases and Biotechnology, having authored 14 papers that have together received 898 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (6 papers), Bacterial Genetics and Biotechnology (5 papers), HIV Research and Treatment (3 papers), Microbial Inactivation Methods (2 papers), HIV/AIDS drug development and treatment (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), CRISPR and Genetic Engineering (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Virology (211 citations), Business and International Management (65 citations), Aging (22 citations), Molecular Biology (692 citations) and Genetics (235 citations). John Marlett has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include John A. T. Young, Heather M. Scobie, Diane Thomas, Marianne Manchester, Arturo Diaz, Chan-Jung Chang, Mo Li, Ying Gu, Keiichiro Suzuki and Hsin‐Kai Liao. Their work appears in journals such as PLoS Pathogens, Nature Communications, Journal of Virology, Cell Reports and Current Genetics.

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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