Ian E. Lush

1.0k citations
31 papers · 960 · h-index 17

Impact in

Papers in

Ian E. Lush

31 papers receiving 882 citations

Peers

Ian E. Lush
Comparison fields: 5 of 82
  • Sensory Systems 318
  • Nutrition and Dietetics 488
  • Endocrine and Autonomic Systems 102
  • Animal Science and Zoology 151
  • Aquatic Science 46
Replace Shigeru Saito with:
Shigeru Saito Japan
N. S. Rama Krishna India
Kazumi Osada Japan
Hiromichi Morita Japan
Suzanne M. Royer United States
Erwin Tareilus Germany
Umberto Pace Israel
Richard Komuniecki United States
Naomi Fukuta Japan
Yuko Kusakabe Japan
Ian E. Lush relative to Shigeru Saito Japan Shigeru Saito's profile →
Citations per field
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Shigeru Saito · 1×
Citations per year

Countries citing papers authored by Ian E. Lush

Since Specialization
Citations

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

Fields of papers citing papers by Ian E. Lush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Ian E. Lush, 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 Ian E. Lush Line = papers co-authored together Ian E. Lush links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989145
2 1961104
3 199586
4 198478
5 198857
6 198152
7 196943
8 196433
9 197833
10
The biochemical genetics of vertebrates except man
196633
11 198632
12 197031
13 198626
14 198225
15 196620
16 196919
17 196317
18 196414
19 198613
20 197512

About Ian E. Lush

Ian E. Lush is a scholar working on Nutrition and Dietetics, Molecular Biology, Animal Science and Zoology, Genetics and Ecology, having authored 31 papers that have together received 960 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (11 papers), Animal Nutrition and Physiology (5 papers), Olfactory and Sensory Function Studies (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), RNA and protein synthesis mechanisms (3 papers), Physiological and biochemical adaptations (3 papers), Animal Genetics and Reproduction (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Sensory Systems (318 citations), Nutrition and Dietetics (488 citations), Endocrine and Autonomic Systems (102 citations), Animal Science and Zoology (151 citations) and Aquatic Science (46 citations). Ian E. Lush has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include C. B. Cowey, Nick Hornigold, Peter H. King, Jonathan P. Stoye, D. Knox, J. Conchie, Benjamin A. Taylor, Edwin A. Azen and David Lovell. Their work appears in journals such as Genetics Research, Heredity, Mammal Review, Trends in Genetics and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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