Arun Decano

491 citations
16 papers · 259 · h-index 9

Impact in

    • Antibiotic Resistance in Bacteria
    • Escherichia coli research studies
    • Enterobacteriaceae and Cronobacter Research

Papers in

Arun Decano

16 papers receiving 257 citations

Peers

Arun Decano
Comparison fields: 5 of 44
  • Molecular Medicine 120
  • Endocrinology 85
  • Applied Microbiology and Biotechnology 6
  • Clinical Biochemistry 21
  • Epidemiology 92
Replace François Gravey with:
François Gravey France
Marlene Spohr Germany
Xiaoying Pu China
Clinton Moodley South Africa
James A. Budnick United States
Ines Engelmann Germany
Maaike Gonggrijp Netherlands
Chi-Ho Lin Hong Kong
Kohei Uechi Japan
Arkadiusz Bomba Poland
Arun Decano relative to François Gravey France François Gravey's profile →
Citations per field
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François Gravey · 1×
Citations per year

Countries citing papers authored by Arun Decano

Since Specialization
Citations

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

Fields of papers citing papers by Arun Decano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201962
2 202044
3 201927
4 201322
5 202118
6 201415
7 202312
8 202012
9 201510
10 20138
11 20138
12 20237
13 20136
14 20233
15 20133
16 20132

About Arun Decano

Arun Decano is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Molecular Biology and Molecular Medicine, having authored 16 papers that have together received 259 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (5 papers), Respiratory viral infections research (4 papers), Antibiotic Resistance in Bacteria (4 papers), Escherichia coli research studies (3 papers), Bacteriophages and microbial interactions (3 papers), Vibrio bacteria research studies (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Molecular Medicine (120 citations), Endocrinology (85 citations), Applied Microbiology and Biotechnology (6 citations), Clinical Biochemistry (21 citations) and Epidemiology (92 citations). Arun Decano has collaborated with scholars based in United Kingdom, South Korea and Ireland. Frequent co-authors include Tim Downing, Julian Parkhill, Catherine Ludden, Philippe Noriel Q. Pascua, Eun-Ha Kim, Hyeok-Il Kwon, Young Ki Choi, Dearbháile Morris, Martin Cormican and Kim Judge. Their work appears in journals such as Microbial Genomics, Antiviral Research, Pathogens, The Journal of Microbiology and Virulence.

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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