Nathan Pike

1.3k citations
21 papers · 1.0k · 1 hit paper · h-index 13

Impact in

Papers in

Nathan Pike

21 papers receiving 1.0k citations

Nathan Pike's Hit Papers

Using false discovery rates for multiple comparisons in ecology and evolution 2010 · 515 citations
5150+5+10Years since publication100200300400500

Peers

Nathan Pike
Comparison fields: 5 of 124
  • Insect Science 308
  • Ecology, Evolution, Behavior and Systematics 335
  • Nature and Landscape Conservation 131
  • Ecological Modeling 42
  • Ecology 223
Replace Philip G. D. Matthews with:
Philip G. D. Matthews Australia
Ádám Egri Hungary
Jan Landin Sweden
Charles V. Paganelli United States
Margaret A. Rubega United States
John D. Robinson United States
Satoyuki KAWANO Japan
K. E. Zachariassen Norway
Hugh D. Jones United Kingdom
Angela J. Crean Australia
Nathan Pike relative to Philip G. D. Matthews Australia Philip G. D. Matthews's profile →
Citations per field
00.5×1.5×2×2.4×
Philip G. D. Matthews · 1×
Citations per year

Countries citing papers authored by Nathan Pike

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Pike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using false discovery rates for multiple comparisons in ecology and evolution
Hit paper breakdown →
2010515
2 2002133
3 200959
4 200450
5 201144
6 200839
7 200435
8 200226
9 200725
10 200320
11 200316
12 200314
13 200413
14 200712
15 20049
16 20067
17 20046
18 20104
19 20063
20
Progressing from the SOC to the EOC.
20191

About Nathan Pike

Nathan Pike is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Genetics, Molecular Biology and Plant Science, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant and animal studies (9 papers), Insect-Plant Interactions and Control (9 papers), Insect behavior and control techniques (5 papers), Insect and Pesticide Research (5 papers), Insect Resistance and Genetics (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Insect symbiosis and bacterial influences (3 papers) and Pickering emulsions and particle stabilization (1 paper). The work is most often cited by research in Insect Science (308 citations), Ecology, Evolution, Behavior and Systematics (335 citations), Nature and Landscape Conservation (131 citations), Ecological Modeling (42 citations) and Ecology (223 citations). Nathan Pike has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include William A. Foster, L. Mahadevan, Denis Richard, A. Meats, Thomas N. Tully, William Y.S. Wang, Régis Ferrière, Nina Hafer, Patsy Haccou and Tobias Uller. Their work appears in journals such as BMC Evolutionary Biology, Proceedings of the Royal Society B Biological Sciences, Biology Letters, Heredity and BMC 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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