Jesse Gray

8.0k citations
35 papers · 5.4k · 3 hit papers · h-index 21

Impact in

Papers in

Jesse Gray

34 papers receiving 5.4k citations

Jesse Gray's Hit Papers

A circuit mechanism for differentiating positive and negative associations 2015 · 391 citations
3910+7+14Years since publication50010001.5k

Peers

Jesse Gray
Comparison fields: 5 of 144
  • Aging 1.3k
  • Endocrine and Autonomic Systems 991
  • Cellular and Molecular Neuroscience 1.1k
  • Cancer Research 885
  • Molecular Biology 3.1k
Replace Steven W. Flavell with:
Steven W. Flavell United States
Su Guo United States
Patrick M. Nolan United Kingdom
Shai Shaham United States
Alessandro Cellerino Italy
Kang Shen United States
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Anne C. Hart United States
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Jesse Gray relative to Steven W. Flavell United States Steven W. Flavell's profile →
Citations per field
00.5×
Steven W. Flavell · 1×
Citations per year

Countries citing papers authored by Jesse Gray

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jesse Gray, 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 Jesse Gray Line = papers co-authored together Jesse Gray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Widespread transcription at neuronal activity-regulated enhancers
Hit paper breakdown →
20101786
2
A circuit for navigation in Caenorhabditis elegans
Hit paper breakdown →
2005572
3 2007465
4 2004443
5
A circuit mechanism for differentiating positive and negative associations
Hit paper breakdown →
2015391
6 2008355
7 2016300
8 2018223
9 2009212
10 2015139
11 201689
12 201473
13 200957
14 201937
15 201235
16 201528
17 199728
18 201727
19 201626
20 201121

About Jesse Gray

Jesse Gray is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Endocrine and Autonomic Systems and Aging, having authored 35 papers that have together received 5.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Genomics and Chromatin Dynamics (6 papers), Circadian rhythm and melatonin (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Aging (1.3k citations), Endocrine and Autonomic Systems (991 citations), Cellular and Molecular Neuroscience (1.1k citations), Cancer Research (885 citations) and Molecular Biology (3.1k citations). Jesse Gray has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Cornelia I. Bargmann, Martin Hemberg, Tae-Kyung Kim, Joseph J. Hill, David A. Harmin, Eirene Markenscoff-Papadimitriou, Michael E. Greenberg, Daniel M. Bear, Scott Kuersten and Gabriel Kreiman. Their work appears in journals such as Nature, Neuron, Journal of Neuroscience, Current Opinion in Neurobiology and Human Mutation.

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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