Ferdinando Bin

2.7k citations
90 papers · 2.1k · h-index 31

Impact in

Papers in

Ferdinando Bin

84 papers receiving 2.0k citations

Peers

Ferdinando Bin
Comparison fields: 5 of 64
  • Insect Science 1.7k
  • Ecology, Evolution, Behavior and Systematics 1.6k
  • Genetics 581
  • Plant Science 426
  • Cellular and Molecular Neuroscience 184
Replace Tetsuya Yasuda with:
Tetsuya Yasuda Japan
Sadao Wakamura Japan
Martinus E. Huigens Netherlands
Bruno Gobin Belgium
Brian T. Forschler United States
Andrej Čokl Slovenia
Peter W. de Jong Netherlands
M. C. Birch United States
A. K. Minks Netherlands
G. G. Grant Canada
Ferdinando Bin relative to Tetsuya Yasuda Japan Tetsuya Yasuda's profile →
Citations per field
00.5×3.0×
Tetsuya Yasuda · 1×
Citations per year

Countries citing papers authored by Ferdinando Bin

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinando Bin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003175
2
Morphology of antennal gustatory sensilla and glands in some parasitoid Hymenoptera with hypothesis on their role in sex and host recognition
1996145
3 1993105
4 200368
5 200366
6 199364
7 199360
8 200159
9 198153
10 199550
11 199947
12 200645
13 199944
14 198143
15 200540
16 198639
17 201038
18 200838
19 200837
20 200536

About Ferdinando Bin

Ferdinando Bin is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Plant Science, Genetics and Ecology, having authored 90 papers that have together received 2.1k indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (60 papers), Hemiptera Insect Studies (34 papers), Plant and animal studies (23 papers), Hymenoptera taxonomy and phylogeny (18 papers), Insect and Pesticide Research (13 papers), Insect and Arachnid Ecology and Behavior (12 papers), Research on scale insects (10 papers) and Plant Parasitism and Resistance (9 papers). The work is most often cited by research in Insect Science (1.7k citations), Ecology, Evolution, Behavior and Systematics (1.6k citations), Genetics (581 citations), Plant Science (426 citations) and Cellular and Molecular Neuroscience (184 citations). Ferdinando Bin has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Stefano Colazza, Eric Conti, Nunzio Isidoro, S. Bradleigh Vinson, Gianandrea Salerno, Roberto Romani, Jeffrey R. Aldrich, Nunzio Isidoro, Ezio Peri and Walker A. Jones. Their work appears in journals such as Biological Control, Journal of Chemical Ecology, Physiological Entomology, Journal of Experimental Biology and Entomologia Experimentalis et Applicata.

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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