Steven J. Castle

2.0k citations
55 papers · 1.5k indexed · h-index 23

Steven J. Castle

54 papers receiving 1.4k citations

Peers

Steven J. Castle
Comparison fields: 5 of 61
  • Insect Science 1.4k
  • Horticulture 48
  • Plant Science 1.1k
  • Ecology, Evolution, Behavior and Systematics 303
  • Endocrinology 27
Replace Frank J. Byrne with:
Frank J. Byrne United States
Nilima Prabhaker United States
Eduardo G. Virla Argentina
Nick C. Toscano United States
John C. Palumbo United States
Pasquale Cascone Italy
Dakshina R. Seal United States
D. Thomas Lowery Canada
Edward B. Radcliffe United States
Massimo Giorgini Italy
Steven J. Castle relative to Frank J. Byrne United States Frank J. Byrne's profile →
Citations per field
00.5×1.5×1.8×
Frank J. Byrne · 1×
Citations per year

Countries citing papers authored by Steven J. Castle

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Castle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20199
2 20172
3 201520
4 201341
5 201229
6 200917
7 200945
8 200960
9 200718
10 200742
11 200621
12 200522
13 200576
14 200510
15
Relative Susceptibility of Whiteflies to Danital® + Orthone® Over a 5-year Period
20011
16 200134
17
Whitefly Management in Arizona: Looking at Whole Systems
199824
18
Population dynamics and pest status of silverleaf whitefly in the USA
19942
19 199219
20 199222

About Steven J. Castle

Steven J. Castle is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (48 papers), Insect and Pesticide Research (20 papers), Insect Pest Control Strategies (14 papers), Phytoplasmas and Hemiptera pathogens (12 papers), Plant Virus Research Studies (10 papers), Plant and animal studies (8 papers), Insect symbiosis and bacterial influences (6 papers) and Plant Parasitism and Resistance (5 papers). The work is most often cited by research in Insect Science (1.4k citations), Horticulture (48 citations) and Plant Science (1.1k citations). Steven J. Castle has collaborated with scholars based in United States, Italy and Türkiye. Frequent co-authors include Nilima Prabhaker, Nick C. Toscano, P. H. Berger, T. J. Henneberry, Frank J. Byrne, Steven E. Naranjo, John C. Palumbo, Thomas M. Mowry, J. G. Morse and Thomas M. Perring.

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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