Daniel E. Huddleston

2.6k citations
26 papers · 1.7k indexed · 1 hit paper · h-index 14
Topics
Parkinson's Disease Mechanisms and Treatments (17 papers)Neurological disorders and treatments (12 papers)Advanced Neuroimaging Techniques and Applications (11 papers)

In The Last Decade

Daniel E. Huddleston

26 papers receiving 1.7k citations

Hit Papers

An in vivo correlate of exercise-induced neurogenesis in ...20072026201320192007250500750

Peers

Daniel E. Huddleston
Comparison fields: 5 of 103
  • Neurology 585
  • Cognitive Neuroscience 398
  • Radiology, Nuclear Medicine and Imaging 339
  • Cellular and Molecular Neuroscience 338
  • Developmental Neuroscience 292
Replace Peter Rasmussen with:
Peter Rasmussen Denmark
Grace S. Griesbach United States
Scellig Stone United States
Kirsi M. Kinnunen United Kingdom
Satu K. Jääskeläinen Finland
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Ana Catarina Pereira Portugal
Lukas Scheef Germany
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Daniel E. Huddleston relative to Peter Rasmussen Denmark Peter Rasmussen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel E. Huddleston

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Huddleston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Huddleston. 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 Daniel E. Huddleston. The network helps show where Daniel E. Huddleston may publish in the future.

Co-authorship network of co-authors of Daniel E. Huddleston

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Huddleston. A scholar is included among the top collaborators of Daniel E. Huddleston 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 Daniel E. Huddleston. Daniel E. Huddleston 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
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3 11
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5 12
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8 29
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11 1
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13 60
14 23
15 53
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17 100
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An in vivo correlate of exercise-induced neurogenesis in the adult dentate gyrusbreakdown →
988
19 18
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About Daniel E. Huddleston

Daniel E. Huddleston is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (17 papers), Neurological disorders and treatments (12 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). The work is most often cited by research in Developmental Neuroscience (292 citations), Neurology (585 citations) and Behavioral Neuroscience (89 citations). Daniel E. Huddleston has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Scott A. Small, Richard P. Sloan, Guy M. McKhann, René Hen, Truman R. Brown, Alexander A. Sosunov, Ana Catarina Pereira, Adam M. Brickman, Fred H. Gage and Jason Langley. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

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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