Jun Maruta

1.3k citations
41 papers · 982 · h-index 18

Impact in

  • Neurology top 5%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Vestibular and auditory disorders
    • Traumatic Brain Injury Research

Papers in

    • Vestibular and auditory disorders 16
    • Traumatic Brain Injury and Neurovascular Disturbances 12
    • Traumatic Brain Injury Research 14

Jun Maruta

38 papers receiving 944 citations

Peers

Jun Maruta
Comparison fields: 5 of 74
  • Neurology 209
  • Neurology 291
  • Epidemiology 476
  • Ophthalmology 123
  • Emergency Medicine 113
Replace Ann L. Hume with:
Ann L. Hume New Zealand
G. Dieckmann Germany
B.R Cant New Zealand
Victoria S. Pelak United States
Arnold Skimminge Denmark
Carol V. Anderson United States
Eric Brunko Belgium
Sein Schmidt Germany
H.‐C. Diener Germany
D. Debatisse Switzerland
Jun Maruta relative to Ann L. Hume New Zealand Ann L. Hume's profile →
Citations per field
00.5×5×10×15.8×
Ann L. Hume · 1×
Citations per year

Countries citing papers authored by Jun Maruta

Since Specialization
Citations

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

Fields of papers citing papers by Jun Maruta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010139
2 201390
3 201078
4 200763
5 201546
6 200143
7 201443
8 201842
9 201536
10 201436
11 201134
12 201233
13 201431
14 201828
15 201621
16 200121
17 201620
18 201719
19 201715
20 201314

About Jun Maruta

Jun Maruta is a scholar working on Neurology, Epidemiology, Cognitive Neuroscience, Neurology and Pathology and Forensic Medicine, having authored 41 papers that have together received 982 indexed citations. Recurring topics across this work include Vestibular and auditory disorders (16 papers), Traumatic Brain Injury Research (14 papers), Traumatic Brain Injury and Neurovascular Disturbances (12 papers), Visual perception and processing mechanisms (9 papers), Ophthalmology and Eye Disorders (7 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Cardiac Arrest and Resuscitation (5 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Neurology (209 citations), Neurology (291 citations), Epidemiology (476 citations), Ophthalmology (123 citations) and Emergency Medicine (113 citations). Jun Maruta has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Jamshid Ghajar, J. I. Simpson, Sumit N. Niogi, Pratik Mukherjee, Ashish Raj, Amy Kuceyeski, Minah Suh, Kristin J. Heaton, Alexis L. Maule and Theodore Raphan. Their work appears in journals such as Frontiers in Neurology, Annals of the New York Academy of Sciences, Experimental Brain Research, Frontiers in Human Neuroscience and Vision Research.

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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