Yuta Katsumi

1.4k citations
43 papers · 741 indexed · 1 hit paper · h-index 14

Yuta Katsumi

39 papers receiving 732 citations

Hit Papers

Improving the study of brain-behavior relationships by re...782023202620242025255075

Peers

Yuta Katsumi
Comparison fields: 5 of 93
  • Cognitive Neuroscience 508
  • Neuropsychology and Physiological Psychology 29
  • Experimental and Cognitive Psychology 184
  • Psychiatry and Mental health 118
  • Social Psychology 114
Replace Krystyna A. Mathiak with:
Krystyna A. Mathiak Germany
Sayaka Yoshimura Japan
Alexandru D. Iordan United States
Tobias Melcher Germany
Alyson Negreira United States
Yayoi Shigemune Japan
Colleen M. Parks United States
Jonathan G. Hakun United States
Anne Botzung France
Elizabeth Race United States
Yuta Katsumi relative to Krystyna A. Mathiak Germany Krystyna A. Mathiak's profile →
Citations per field
00.5×3.7×
Krystyna A. Mathiak · 1×
Citations per year

Countries citing papers authored by Yuta Katsumi

Since Specialization
Citations

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

Fields of papers citing papers by Yuta Katsumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20246
3 20246
4 20230
5 20236
6 202336
7 20231
8 20224
9 202221
10 202244
11 202219
12 202210
13 202212
14 20224
15 20216
16 20215
17 20208
18 202020
19 2019138
20 201933

About Yuta Katsumi

Yuta Katsumi is a scholar working on Cognitive Neuroscience, Neuropsychology and Physiological Psychology, Psychiatry and Mental health, Experimental and Cognitive Psychology and Developmental Neuroscience, having authored 43 papers that have together received 741 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (19 papers), Alzheimer's disease research and treatments (9 papers), Dementia and Cognitive Impairment Research (9 papers), Memory and Neural Mechanisms (9 papers), Neural and Behavioral Psychology Studies (9 papers), Neural dynamics and brain function (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Memory Processes and Influences (4 papers). The work is most often cited by research in Cognitive Neuroscience (508 citations), Neuropsychology and Physiological Psychology (29 citations), Experimental and Cognitive Psychology (184 citations), Psychiatry and Mental health (118 citations) and Social Psychology (114 citations). Yuta Katsumi has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Sanda Dolcos, Florin Dolcos, Lisa Feldman Barrett, Mathias Weymar, Bradford C. Dickerson, Karen S. Quigley, Roger A. Dixon, Alexandra Touroutoglou, Takashi Tsukiura and Jordan E. Theriault. Their work appears in journals such as Alzheimer s & Dementia, Frontiers in Psychology, Brain, Brain Communications and Neuropsychologia.

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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