J.W. Daniells

450 citations
28 papers · 268 indexed · h-index 9

J.W. Daniells

27 papers receiving 214 citations

Peers

J.W. Daniells
Comparison fields: 5 of 23
  • Horticulture 10
  • Plant Science 254
  • Cell Biology 68
  • Endocrinology 18
  • Forestry 11
Replace C. F. Robbs with:
C. F. Robbs Brazil
Régine Coranson‐Beaudu France
Éric Fouré France
Rosa Maria Valdebenito Sanhueza Brazil
Guillaume Roch France
Yanmei Guo China
M.C. Daunay France
L. A. Álvarez Spain
Johanna Acevedo‐Garcia Germany
Florencia Siciliano Argentina
J.W. Daniells relative to C. F. Robbs Brazil C. F. Robbs's profile →
Citations per field
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C. F. Robbs · 1×
Citations per year

Countries citing papers authored by J.W. Daniells

Since Specialization
Citations

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

Fields of papers citing papers by J.W. Daniells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 202121
3 20186
4 201817
5 20122
6 20119
7 20115
8 201119
9 20113
10 200147
11
Screening of 143 banana varieties for resistance to yellow Sigatoka in North Queensland.
19996
12 19994
13 19991
14
Beware the potential hazards of tissue culture.
19977
15
An outbreak of banana streak badnavirus in north Queensland Cavendish bananas
19971
16
Screening of 165 Papua New Guinea banana accessions for resistance to yellow Sigatoka (Mycosphaerella musicola Leach) in north Queensland
19963
17
Seed transmission of banana streak virus confirmed.
199511
18 199031
19 19888
20
Effects of bunch covering and bunch trimming on bananas in north Queensland
198713

About J.W. Daniells

J.W. Daniells is a scholar working on Plant Science, Cell Biology and Forestry, having authored 28 papers that have together received 268 indexed citations. Recurring topics across this work include Banana Cultivation and Research (26 papers), Plant Pathogens and Fungal Diseases (5 papers), Plant Pathogenic Bacteria Studies (3 papers), Pineapple and bromelain studies (3 papers), Plant Virus Research Studies (3 papers), Cassava research and cyanide (2 papers), Plant tissue culture and regeneration (1 paper) and Insect-Plant Interactions and Control (1 paper). The work is most often cited by research in Horticulture (10 citations), Plant Science (254 citations) and Cell Biology (68 citations). J.W. Daniells has collaborated with scholars based in Australia, United States and Czechia. Frequent co-authors include John E. Thomas, Andrew D. W. Geering, Val Jo Anderson, PW Langdon, K. G. Pegg, M.K. Smith, W. O’Neill, D. W. Turner, Lucy T. T. Tran‐Nguyen and Mark Hearnden. Their work appears in journals such as Scientia Horticulturae, Crop Protection and Annals of Applied Biology.

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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