James G. Heys

796 citations
13 papers · 499 indexed · h-index 10
Topics
Memory and Neural Mechanisms (9 papers)Neuroscience and Neuropharmacology Research (8 papers)Neural dynamics and brain function (5 papers)

In The Last Decade

James G. Heys

13 papers receiving 490 citations

Peers

James G. Heys
Comparison fields: 5 of 50
  • Cognitive Neuroscience 428
  • Cellular and Molecular Neuroscience 345
  • Molecular Biology 53
  • Sensory Systems 36
  • Social Psychology 29
Replace Robson Scheffer-Teixeira with:
Robson Scheffer-Teixeira Brazil
Anatoli Gorchetchnikov United States
Babak Tahvildari Canada
Hugh Pastoll United Kingdom
Jason C. Trageser United States
Ben Engelhard United States
Kelsey Clark United States
Michele Ferrante United States
Kenji Morita Japan
Rodrigo F. Salazar Switzerland
James G. Heys relative to Robson Scheffer-Teixeira Brazil Robson Scheffer-Teixeira's profile →
Citations per field
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Robson Scheffer-Teixeira · 1×
Citations per year

Countries citing papers authored by James G. Heys

Since Specialization
Citations

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

Fields of papers citing papers by James G. Heys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. Heys. 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 James G. Heys. The network helps show where James G. Heys may publish in the future.

Co-authorship network of co-authors of James G. Heys

This figure shows the co-authorship network connecting the top 25 collaborators of James G. Heys. A scholar is included among the top collaborators of James G. Heys 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 James G. Heys. James G. Heys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 2
3 24
4 28
5 76
6 2
7 98
8 36
9 57
10 45
11 35
12 76
13 19

About James G. Heys

James G. Heys is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 13 papers that have together received 499 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (428 citations), Cellular and Molecular Neuroscience (345 citations) and Sensory Systems (36 citations). James G. Heys has collaborated with scholars based in United States, Norway and Philippines. Frequent co-authors include Michael E. Hasselmo, Daniel A. Dombeck, Lisa M. Giocomo, Caswell Barry, Yusuke Tsuno, Nathan W. Schultheiss, Cynthia F. Moss, Katrina M. MacLeod, Anna Letizia Allegra Mascaro and John B. Issa. Their work appears in journals such as Science, Neuron and Journal of 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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