Jun Kawamura

1.1k citations
45 papers · 802 · h-index 14

Impact in

Papers in

Jun Kawamura

43 papers receiving 787 citations

Peers

Jun Kawamura
Comparison fields: 5 of 92
  • Neurology 153
  • Neurology 141
  • Geriatrics and Gerontology 35
  • Psychiatry and Mental health 116
  • Pulmonary and Respiratory Medicine 215
Replace Sangeeta Khanna with:
Sangeeta Khanna India
Tetsu Yamamoto Japan
Kensuke Kubota Japan
Carlo Gandolfo Italy
Laureen D. Hachem Canada
Nurşen Yüksel Türkiye
Leone Giordano Italy
Jeffrey Minuk Canada
Yasuhiro Arai Japan
Jonas Graf Germany
Jun Kawamura relative to Sangeeta Khanna India Sangeeta Khanna's profile →
Citations per field
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Sangeeta Khanna · 1×
Citations per year

Countries citing papers authored by Jun Kawamura

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kawamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996141
2 199295
3 199193
4 198976
5 202035
6 199333
7 202231
8 199331
9 199229
10 199126
11 199226
12 200625
13 199017
14 202315
15 200212
16 200411
17 19918
18 20078
19 19938
20 19917

About Jun Kawamura

Jun Kawamura is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Neurology and Neurology, having authored 45 papers that have together received 802 indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (4 papers), Muscle Physiology and Disorders (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Acute Ischemic Stroke Management (3 papers) and Traumatic Brain Injury Research (3 papers). The work is most often cited by research in Neurology (153 citations), Neurology (141 citations), Geriatrics and Gerontology (35 citations), Psychiatry and Mental health (116 citations) and Pulmonary and Respiratory Medicine (215 citations). Jun Kawamura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include John Stirling Meyer, Yasuo Terayama, Susan Weathers, Joshua H. Lipschutz, Yoshiki Sugimura, Paul W. Finch, S A Aaronson, Gerald R. Cunha, Jeffrey S. Rubin and Yun K. Hom. Their work appears in journals such as Stroke, Surgery Today, Journal of Stroke and Cerebrovascular Diseases, Journal of the Neurological Sciences and Alzheimer Disease & Associated Disorders.

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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