Nicholas M. Teets

2.5k citations
61 papers · 1.7k indexed · h-index 21
Topics
Physiological and biochemical adaptations (46 papers)Neurobiology and Insect Physiology Research (28 papers)Insect and Arachnid Ecology and Behavior (25 papers)

In The Last Decade

Nicholas M. Teets

57 papers receiving 1.7k citations

Peers

Nicholas M. Teets
Comparison fields: 5 of 87
  • Ecology 1.0k
  • Genetics 637
  • Cellular and Molecular Neuroscience 587
  • Insect Science 551
  • Ecology, Evolution, Behavior and Systematics 356
Replace Giancarlo López‐Martínez with:
Giancarlo López‐Martínez United States
Michael A. Elnitsky United States
Gregory J. Ragland United States
Luciano M. Matzkin United States
Siu Fai Lee Australia
Lea Rako Australia
Timothy J. Bradley United States
Joseph P. Rinehart United States
Laura V. Ferguson Canada
Alan O. Bergland United States
Nicholas M. Teets relative to Giancarlo López‐Martínez United States Giancarlo López‐Martínez's profile →
Citations per field
00.5×
Giancarlo López‐Martínez · 1×
Citations per year

Countries citing papers authored by Nicholas M. Teets

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas M. Teets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas M. Teets

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas M. Teets. A scholar is included among the top collaborators of Nicholas M. Teets based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas M. Teets. Nicholas M. Teets is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 1
6 4
7 1
8 9
9 7
10 14
11 25
12 26
13 14
14 13
15 26
16 99
17 47
18 24
19 42
20 54

About Nicholas M. Teets

Nicholas M. Teets is a scholar working on Ecology, Aging and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (46 papers), Neurobiology and Insect Physiology Research (28 papers) and Insect and Arachnid Ecology and Behavior (25 papers). The work is most often cited by research in Insect Science (551 citations), Aging (76 citations) and Ecology (1.0k citations). Nicholas M. Teets has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David L. Denlinger, Yuta Kawarasaki, Richard Lee, Justin T. Peyton, David Renault, Hervé Colinet, Daniel A. Hahn, Joanna L. Kelley, J. D. Gantz and Joshua B. Benoit. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

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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