Daniel Tranel

64.4k citations
426 papers · 42.4k indexed · 17 hit papers · h-index 101

Daniel Tranel

418 papers receiving 40.6k citations

Hit Papers

Damage to the prefrontal cortex increases utilita...1.0k199320262004201550010001.5k2.0k

Peers

Daniel Tranel
Comparison fields: 5 of 203
  • Cognitive Neuroscience 29.3k
  • General Decision Sciences 1.7k
  • Experimental and Cognitive Psychology 9.6k
  • Behavioral Neuroscience 1.9k
  • Psychiatry and Mental health 7.0k
Replace António R. Damásio with:
António R. Damásio United States
Hanna Damásio United States
Ralph Adolphs United States
Tor D. Wager United States
Cameron S. Carter United States
Deanna M. Barch United States
Christian Büchel Germany
Arthur F. Kramer United States
Russell A. Poldrack United States
Todd S. Braver United States
Daniel Tranel relative to António R. Damásio United States António R. Damásio's profile →
Citations per field
00.5×1.5×
António R. Damásio · 1×
Citations per year

Countries citing papers authored by Daniel Tranel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tranel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20238
4 20233
5 20231
6 20224
7 20216
8 202143
9 20213
10 202057
11 202049
12 20185
13 201719
14 201631
15 20168
16 201420
17 201251
18 201152
19 201183
20 2010212

About Daniel Tranel

Daniel Tranel is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and General Decision Sciences, having authored 426 papers that have together received 42.4k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (107 papers), Neurobiology of Language and Bilingualism (96 papers), Memory and Neural Mechanisms (78 papers), Face Recognition and Perception (44 papers), Action Observation and Synchronization (42 papers), Functional Brain Connectivity Studies (41 papers), Memory Processes and Influences (38 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (34 papers). The work is most often cited by research in Cognitive Neuroscience (29.3k citations), General Decision Sciences (1.7k citations) and Experimental and Cognitive Psychology (9.6k citations). Daniel Tranel has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include António R. Damásio, Ralph Adolphs, Hanna Damásio, Antoine Bechara, H. Damasio, Steven W. Anderson, Natalie L. Denburg, Tony W. Buchanan, Thomas J. Grabowski and David Rudrauf. Their work appears in journals such as Neuropsychologia, Journal of Clinical and Experimental Neuropsychology, Neuropsychology, Journal of Cognitive Neuroscience 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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