Jun Gotoh

1.7k citations
35 papers · 1.4k · h-index 21

Impact in

  • Neurology top 5%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Jun Gotoh

34 papers receiving 1.3k citations

Peers

Jun Gotoh
Comparison fields: 5 of 106
  • Neurology 366
  • Developmental Neuroscience 56
  • Neurology 112
  • Internal Medicine 38
  • Cellular and Molecular Neuroscience 187
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Citations per field
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Citations per year

Countries citing papers authored by Jun Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008186
2 2003107
3 2002101
4 200892
5 199989
6 200575
7 200173
8 201071
9 200462
10 199352
11 201251
12
Evaluation of PCR-based methods for the diagnosis of tuberculosis by identification of mycobacterial DNA in urine samples.
200242
13 201141
14 200840
15 201237
16 200234
17 200028
18 200027
19 200226
20 200723

About Jun Gotoh

Jun Gotoh is a scholar working on Neurology, Endocrine and Autonomic Systems, Neurology, Cellular and Molecular Neuroscience and Physiology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Acute Ischemic Stroke Management (5 papers), Nitric Oxide and Endothelin Effects (5 papers), Neuroscience of respiration and sleep (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Cell death mechanisms and regulation (3 papers), Mitochondrial Function and Pathology (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Neurology (366 citations), Developmental Neuroscience (56 citations), Neurology (112 citations), Internal Medicine (38 citations) and Cellular and Molecular Neuroscience (187 citations). Jun Gotoh has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yasuo Fukuuchi, Mamoru Shibata, Shinichi Takahashi, Tomohiro Sakamoto, Ken Nagata, Kazuo Minematsu, Masahiro Yasaka, Shinichiro Uchiyama, Ḱazunori Toyoda and Takehiko Nagao. Their work appears in journals such as Stroke, Journal of Cerebral Blood Flow & Metabolism, Cerebrovascular Diseases, The Keio Journal of Medicine and Alzheimer s & Dementia.

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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