Chris Pook

838 citations
37 papers · 631 · h-index 13

Impact in

Papers in

Chris Pook

35 papers receiving 618 citations

Peers

Chris Pook
Comparison fields: 5 of 96
  • Biochemistry 88
  • Insect Science 161
  • Health, Toxicology and Mutagenesis 116
  • Ecology, Evolution, Behavior and Systematics 138
  • Pollution 77
Replace Carla da Silva Carneiro with:
Carla da Silva Carneiro Brazil
Youxin Yang China
Arindam Ghatak Austria
Palak Chaturvedi Austria
Gaëlle Danièle France
Zhigang Han China
Kyoungwon Cho South Korea
Vilnis Ezernieks Australia
Elodie Vandelle Italy
Gaetano Cammilleri Italy
Chris Pook relative to Carla da Silva Carneiro Brazil Carla da Silva Carneiro's profile →
Citations per field
00.5×1.5×2×2.4×
Carla da Silva Carneiro · 1×
Citations per year

Countries citing papers authored by Chris Pook

Since Specialization
Citations

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

Fields of papers citing papers by Chris Pook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012137
2 202069
3 200964
4 200846
5 201737
6 202027
7 202124
8 202022
9 201921
10 202018
11 202115
12 200814
13 201012
14 201912
15 202111
16 202111
17 199410
18 20189
19 20188
20 20227

About Chris Pook

Chris Pook is a scholar working on Molecular Biology, Ecology, Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Biochemistry, having authored 37 papers that have together received 631 indexed citations. Recurring topics across this work include Isotope Analysis in Ecology (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Environmental Toxicology and Ecotoxicology (4 papers), Piperaceae Chemical and Biological Studies (4 papers), Advanced Chemical Sensor Technologies (4 papers), Olfactory and Sensory Function Studies (3 papers), Phytochemicals and Antioxidant Activities (3 papers) and Meat and Animal Product Quality (3 papers). The work is most often cited by research in Biochemistry (88 citations), Insect Science (161 citations), Health, Toxicology and Mutagenesis (116 citations), Ecology, Evolution, Behavior and Systematics (138 citations) and Pollution (77 citations). Chris Pook has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Michelle Ji Yeon Yoo, Tung Thanh Diep, Ceri Lewis, Tamara S. Galloway, Christopher J. Page, Charles R. Tyler, Natalie Hempel de Ibarra, James Cresswell, Yueru Li and Ian Laycock. Their work appears in journals such as Nutrients, Marine Pollution Bulletin, Environmental Pollution, Foods and Metabolomics.

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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