Netta Cohen

2.4k citations
48 papers · 1.6k indexed · h-index 19
Topics
Genetics, Aging, and Longevity in Model Organisms (21 papers)Circadian rhythm and melatonin (14 papers)Neural dynamics and brain function (11 papers)

In The Last Decade

Netta Cohen

47 papers receiving 1.6k citations

Peers

Netta Cohen
Comparison fields: 5 of 122
  • Cellular and Molecular Neuroscience 550
  • Aging 456
  • Molecular Biology 405
  • Endocrine and Autonomic Systems 276
  • Cognitive Neuroscience 234
Replace Quan Wen with:
Quan Wen China
Christopher V. Gabel United States
Ken C. Q. Nguyen United States
Hiroshi Kori Japan
Andrew M. Leifer United States
Manuel Zimmer Austria
Edwin Munro United States
Scott W. Emmons United States
William M. Roberts United States
Thomas M. Morse United States
Netta Cohen relative to Quan Wen China Quan Wen's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Netta Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Netta Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Netta Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Netta Cohen. A scholar is included among the top collaborators of Netta Cohen 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 Netta Cohen. Netta Cohen 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 35
2 17
3 11
4 57
5 9
6 22
7 12
8 88
9 2
10 92
11 1
12 7
13 22
14
C.エレガンス前進移動の神経-機構統合モデル
1
15 32
16 54
17
The role of body wall muscles in C. elegans locomotion
1
18 78
19 1
20 63

About Netta Cohen

Netta Cohen is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (21 papers), Circadian rhythm and melatonin (14 papers) and Neural dynamics and brain function (11 papers). The work is most often cited by research in Aging (456 citations), Developmental Neuroscience (169 citations) and Endocrine and Autonomic Systems (276 citations). Netta Cohen has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Jordan H. Boyle, R. W. Guillery, J. S. H. Taylor, Philippe Soriano, Larry Scott, Andrew J. Furley, Stefano Berri, John Bryden, Margaritis Voliotis and Tanniemola B. Liverpool. Their work appears in journals such as Nature, Cell and Physical Review Letters.

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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