E. Shipp

546 citations
38 papers · 374 indexed · h-index 11

Impact in

Papers in

E. Shipp

35 papers receiving 336 citations

Peers

E. Shipp
Comparison fields: 5 of 44
  • Insect Science 283
  • Ecology, Evolution, Behavior and Systematics 111
  • Plant Science 91
  • Developmental Biology 5
  • Genetics 60
Replace W. G. Vogt with:
W. G. Vogt Australia
Sebastián Minoli Argentina
J. L. Goodenough United States
J. Wendell Snow United States
M. F. B. Chaudhury Kenya
G. F. Mason Italy
A.C.M. van Gerwen Australia
L. G. Pickens United States
Craig R. Baird United States
Alicia N Lorenzo Figueiras Argentina
E. Shipp relative to W. G. Vogt Australia W. G. Vogt's profile →
Citations per field
00.5×
W. G. Vogt · 1×
Citations per year

Countries citing papers authored by E. Shipp

Since Specialization
Citations

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

Fields of papers citing papers by E. Shipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside E. Shipp, 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 E. Shipp Line = papers co-authored together E. Shipp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979103
2 199034
3 198828
4 197421
5 197621
6 196315
7 197814
8 201014
9 197913
10 198311
11 198411
12 197910
13 19778
14 19707
15
The effect of protein sources and of the frequency of egg collection on egg production by the housefly (Musca domestica L.).
19677
16 19765
17 19835
18 19765
19
Blowfly populations and strike incidence in the arid zone of NSW.
19844
20 19794

About E. Shipp

E. Shipp is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Plant Science, Genetics and Health, Toxicology and Mutagenesis, having authored 38 papers that have together received 374 indexed citations. Recurring topics across this work include Insect behavior and control techniques (16 papers), Insect and Pesticide Research (13 papers), Insect Pest Control Strategies (11 papers), Forensic Entomology and Diptera Studies (10 papers), Insect and Arachnid Ecology and Behavior (7 papers), Diptera species taxonomy and behavior (6 papers), Insect Resistance and Genetics (5 papers) and Insect Utilization and Effects (4 papers). The work is most often cited by research in Insect Science (283 citations), Ecology, Evolution, Behavior and Systematics (111 citations), Plant Science (91 citations), Developmental Biology (5 citations) and Genetics (60 citations). E. Shipp has collaborated with scholars based in Australia, Saudi Arabia and United States. Frequent co-authors include G. W. Levot, Donald J. Campbell, Andrew Swan, Ross H. Crozier, George Holan, K Myers, RL Hughes, Peter Bailey, John C. Rodger and P. B. Cornwell. Their work appears in journals such as Entomologia Experimentalis et Applicata, Journal of Economic Entomology, Nature, Cellular and Molecular Life Sciences and Australian Journal of Zoology.

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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