Jason R. Gerstner

2.2k citations
37 papers · 1.6k indexed · h-index 20
Topics
Circadian rhythm and melatonin (21 papers)Sleep and Wakefulness Research (21 papers)Neurobiology and Insect Physiology Research (8 papers)
Journals
Journal of NeuroscienceSHILAP Revista de lepidopterologíaNature reviews. Neuroscience

In The Last Decade

Jason R. Gerstner

35 papers receiving 1.6k citations

Peers

Jason R. Gerstner
Comparison fields: 5 of 102
  • Cognitive Neuroscience 620
  • Endocrine and Autonomic Systems 606
  • Experimental and Cognitive Psychology 499
  • Cellular and Molecular Neuroscience 428
  • Physiology 309
Replace Hiroyoshi Séi with:
Hiroyoshi Séi Japan
J. Christopher Ehlen United States
Akira Terao Japan
Oliver Rawashdeh Australia
Angela R. Ozburn United States
Colleen M. Novak United States
Caroline Kopp Switzerland
Mathieu E. Wimmer United States
Susan Benloucif United States
Emi Hasegawa Japan
Jason R. Gerstner relative to Hiroyoshi Séi Japan Hiroyoshi Séi's profile →
Citations per field
00.5×1.5×2.0×
Hiroyoshi Séi · 1×
Citations per year

Countries citing papers authored by Jason R. Gerstner

Since Specialization
Citations

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

Fields of papers citing papers by Jason R. Gerstner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason R. Gerstner. 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 Jason R. Gerstner. The network helps show where Jason R. Gerstner may publish in the future.

Co-authorship network of co-authors of Jason R. Gerstner

This figure shows the co-authorship network connecting the top 25 collaborators of Jason R. Gerstner. A scholar is included among the top collaborators of Jason R. Gerstner 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 Jason R. Gerstner. Jason R. Gerstner 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 8
3 6
4 11
5 13
6 41
7 47
8 36
9 1
10 27
11 32
12 240
13 43
14 15
15 63
16 14
17 98
18 40
19 5
20 11

About Jason R. Gerstner

Jason R. Gerstner is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (21 papers), Sleep and Wakefulness Research (21 papers) and Neurobiology and Insect Physiology Research (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (606 citations), Experimental and Cognitive Psychology (499 citations) and Cognitive Neuroscience (620 citations). Jason R. Gerstner has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Jerry C. P. Yin, Nicholas Jackson, Michael A. Grandner, Kristen L. Knutson, William M. Vanderheyden, Miranda M. Lim, Charles F. Landry, David M. Holtzman, Timothy LaVaute and Marcos G. Frank. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nature reviews. 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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