Kathleen M. Schegg

1.6k citations
31 papers · 1.1k indexed · h-index 20
Topics
Neurobiology and Insect Physiology Research (15 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)Insect and Arachnid Ecology and Behavior (5 papers)

In The Last Decade

Kathleen M. Schegg

31 papers receiving 1.1k citations

Peers

Kathleen M. Schegg
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 618
  • Molecular Biology 418
  • Insect Science 299
  • Ecology 295
  • Genetics 250
Replace Makoto Kiuchi with:
Makoto Kiuchi Japan
Manabu Kamimura Japan
R.M. Wagner United States
Hajime Ono Japan
Jan Žďárek Czechia
Ilse Claeys Belgium
Małgorzata Słocińska Poland
Benjamin J. Cook United States
R. Ziegler Germany
R. Elwyn Isaac United Kingdom
Kathleen M. Schegg relative to Makoto Kiuchi Japan Makoto Kiuchi's profile →
Citations per field
00.5×1.5×2.1×
Makoto Kiuchi · 1×
Citations per year

Countries citing papers authored by Kathleen M. Schegg

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen M. Schegg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathleen M. Schegg

This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen M. Schegg. A scholar is included among the top collaborators of Kathleen M. Schegg 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 Kathleen M. Schegg. Kathleen M. Schegg 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 50
2 39
3 81
4 22
5 34
6 32
7 78
8 29
9 33
10 33
11 21
12 15
13 26
14 33
15 19
16 13
17 27
18 8
19 8
20 12

About Kathleen M. Schegg

Kathleen M. Schegg is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Pharmacology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Insect and Arachnid Ecology and Behavior (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (618 citations), Insect Science (299 citations) and Ecology (295 citations). Kathleen M. Schegg has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David A. Schooley, Geoffrey M. Coast, Kenji Furuya, Stephen S. Tobe, Simon G. Webster, Rebekah Woolsey, J. Joe Hull, Richard A. Eigenheer, Sue W. Nicolson and Jinrui Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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