N. M. Tyrer

1.8k citations
34 papers · 1.4k · h-index 19

Impact in

Papers in

N. M. Tyrer

34 papers receiving 1.4k citations

Peers

N. M. Tyrer
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 1.2k
  • Aging 37
  • Ecology, Evolution, Behavior and Systematics 391
  • Insect Science 199
  • Genetics 421
Replace Jennifer S. Altman with:
Jennifer S. Altman Germany
J.P. Bacon United Kingdom
Melody V. S. Siegler United States
Hans‐Joachim Pflüger Germany
J.L.D. Williams Germany
Reinhold Hustert Germany
Janis C. Weeks United States
Hitoshi Aonuma Japan
Devanand S. Manoli United States
Melvin J. Cohen United States
N. M. Tyrer relative to Jennifer S. Altman Germany Jennifer S. Altman's profile →
Citations per field
00.5×1.5×
Jennifer S. Altman · 1×
Citations per year

Countries citing papers authored by N. M. Tyrer

Since Specialization
Citations

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

Fields of papers citing papers by N. M. Tyrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. M. Tyrer. 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 N. M. Tyrer. The network helps show where N. M. Tyrer may publish in the future.

Co-authors

The 23 scholars most cited alongside N. M. Tyrer, 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 N. M. Tyrer Line = papers co-authored together N. M. Tyrer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982235
2 1974206
3 1974204
4 1984128
5 197779
6 197973
7 198844
8 197737
9 198037
10 198735
11 199032
12 198532
13 199129
14 198929
15 198929
16 199328
17 197125
18 198825
19 198718
20 197116

About N. M. Tyrer

N. M. Tyrer is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Ecology and Cognitive Neuroscience, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (26 papers), Insect and Arachnid Ecology and Behavior (8 papers), Insect and Pesticide Research (6 papers), Physiological and biochemical adaptations (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Plant and Biological Electrophysiology Studies (4 papers), Neural dynamics and brain function (4 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Aging (37 citations), Ecology, Evolution, Behavior and Systematics (391 citations), Insect Science (199 citations) and Genetics (421 citations). N. M. Tyrer has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jennifer S. Altman, G. E. Gregory, Emily Bell, E.M. Lutz, J.P. Bacon, Richard A. Baines, C. A. Davies, Kevin S. J. Thompson, Michael K. Shaw and Roger Downer. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research, Journal of Comparative Physiology A, Journal of Experimental Biology and Neuroscience.

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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