J. F. Antoniw

9.0k citations
96 papers · 4.4k indexed · h-index 34

J. F. Antoniw

91 papers receiving 4.1k citations

Peers

J. F. Antoniw
Comparison fields: 5 of 102
  • Endocrinology 704
  • Plant Science 3.3k
  • Biotechnology 337
  • Horticulture 34
  • Insect Science 402
Replace Satoshi Naito with:
Satoshi Naito Japan
John P. Carr United Kingdom
Christopher Davies Australia
Christian Godon France
Neil E. Olszewski United States
Huanquan Zheng Canada
Alex M. Murphy United Kingdom
Peter Brodersen Denmark
Shih‐Shun Lin Taiwan
J. F. Antoniw relative to Satoshi Naito Japan Satoshi Naito's profile →
Citations per field
00.5×1.5×2.3×
Satoshi Naito · 1×
Citations per year

Countries citing papers authored by J. F. Antoniw

Since Specialization
Citations

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

Fields of papers citing papers by J. F. Antoniw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. F. Antoniw. 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 J. F. Antoniw. The network helps show where J. F. Antoniw may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2009143
2 200933
3 200721
4 200535
5 20048
6
Interactive forecasting on the Internet of light leaf spot (Pyrenopeziza brassicae ) risk for winter oilseed rape
20021
7 20010
8 200141
9
Introducing an interactive Internet based forecasting system for light leaf spot of winter oilseed rape in the UK
20001
10
Forecasting light leaf spot (Pyrenopeziza brassicae ) of winter oilseed rape (Brassica napus ) on the Internet
19992
11 199922
12 199939
13
Descriptions of plant viruses on CD-ROM
19989
14 19969
15 19969
16 19958
17 199524
18 199330
19 198644
20
The effects of aspirin and poly acrylic acid on the multiplication and spread of tobacco mosaic virus in different cultivars of tobacco nicotiana tobacum with and without the n gene
19834

About J. F. Antoniw

J. F. Antoniw is a scholar working on Endocrinology, Plant Science and Biotechnology, having authored 96 papers that have together received 4.4k indexed citations. Recurring topics across this work include Plant Virus Research Studies (52 papers), Plant-Microbe Interactions and Immunity (26 papers), Plant and Fungal Interactions Research (21 papers), Plant Disease Resistance and Genetics (16 papers), Transgenic Plants and Applications (10 papers), Plant Pathogens and Fungal Diseases (10 papers), Plant Pathogenic Bacteria Studies (9 papers) and Glycogen Storage Diseases and Myoclonus (8 papers). The work is most often cited by research in Endocrinology (704 citations), Plant Science (3.3k citations) and Biotechnology (337 citations). J. F. Antoniw has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Michael J. Adams, R. F. White, Philip Cohen, M. J. Adams, C. Fauquet, Frédéric Beaudoin, K. E. Hammond‐Kosack, Christine H. Foyer, Guy Kiddle and Paul Verrier. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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