Jesse D. Cushman

2.7k citations
40 papers · 1.8k indexed · 1 hit paper · h-index 20
Topics
Memory and Neural Mechanisms (22 papers)Neuroscience and Neuropharmacology Research (20 papers)Neuroinflammation and Neurodegeneration Mechanisms (7 papers)
Partner nations
United StatesJapanChile

In The Last Decade

Jesse D. Cushman

40 papers receiving 1.7k citations

Hit Papers

Young Dentate Granule Cells Mediate Pattern Separation, w...20122026201620212012200400600

Peers

Jesse D. Cushman
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 985
  • Cognitive Neuroscience 980
  • Developmental Neuroscience 489
  • Molecular Biology 318
  • Neurology 280
Replace Leonardo Restivo with:
Leonardo Restivo Italy
Adelaide P. Yiu Canada
Hwa‐Lin Hsiang Canada
Molly M. Huntsman United States
Michael R. Hunsaker United States
Livia de Hoz Germany
Toshiaki Nakashiba Japan
Flavio Donato Switzerland
Elodie Drapeau United States
Diano F. Marrone Canada
Jesse D. Cushman relative to Leonardo Restivo Italy Leonardo Restivo's profile →
Citations per field
00.5×1.5×
Leonardo Restivo · 1×
Citations per year

Countries citing papers authored by Jesse D. Cushman

Since Specialization
Citations

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

Fields of papers citing papers by Jesse D. Cushman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesse D. Cushman

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse D. Cushman. A scholar is included among the top collaborators of Jesse D. Cushman 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 Jesse D. Cushman. Jesse D. Cushman 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 3
2 1
3 1
4 26
5 3
6 9
7 7
8 39
9 3
10 11
11 16
12 10
13 27
14 19
15 31
16 35
17 36
18 56
19 51
20 34

About Jesse D. Cushman

Jesse D. Cushman is a scholar working on Developmental Neuroscience, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (22 papers), Neuroscience and Neuropharmacology Research (20 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Developmental Neuroscience (489 citations), Behavioral Neuroscience (205 citations) and Cellular and Molecular Neuroscience (985 citations). Jesse D. Cushman has collaborated with scholars based in United States, Japan and Chile. Frequent co-authors include Michael S. Fanselow, Mayank Mehta, Zahra M. Aghajan, Susumu Tonegawa, Chris J. McBain, Toshiaki Nakashiba, Kenneth A. Pelkey, Keisuke S. Iwamoto, Thomas J. McHugh and Ramesh Chittajallu. Their work appears in journals such as Nature, Science and Cell.

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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