Jun Gotoh

1.7k citations
33 papers · 1.3k indexed · 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

    • Acute Ischemic Stroke Management 7
    • Parkinson's Disease Mechanisms and Treatments 4
    • Neurological disorders and treatments 3

Jun Gotoh

32 papers receiving 1.3k citations

Peers

Jun Gotoh
Comparison fields: 5 of 106
  • Neurology 383
  • Internal Medicine 70
  • Neurology 128
  • Developmental Neuroscience 58
  • Cellular and Molecular Neuroscience 218
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Citations per field
00.5×3.2×
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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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008168
2 2003102
3 200299
4 200883
5 199982
6 200572
7 200171
8 200462
9 201053
10 199651
11 201249
12 199348
13
Evaluation of PCR-based methods for the diagnosis of tuberculosis by identification of mycobacterial DNA in urine samples.
200242
14 201139
15 201234
16 200234
17 200830
18 200026
19 200225
20 200024

About Jun Gotoh

Jun Gotoh is a scholar working on Epidemiology, Neurology, Molecular Biology, Cellular and Molecular Neuroscience and Physiology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Nitric Oxide and Endothelin Effects (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Stroke Rehabilitation and Recovery (4 papers), Neuroscience of respiration and sleep (4 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Neurology (383 citations), Internal Medicine (70 citations), Neurology (128 citations), Developmental Neuroscience (58 citations) and Cellular and Molecular Neuroscience (218 citations). Jun Gotoh has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yasuo Fukuuchi, Shinichi Takahashi, Mamoru Shibata, Kazuo Minematsu, Ken Nagata, Masahiro Yasaka, Tomohiro Sakamoto, Takehiko Nagao, Ḱazunori Toyoda and Shinichiro Uchiyama. Their work appears in journals such as Cerebrovascular Diseases, Journal of Cerebral Blood Flow & Metabolism, Stroke, Alzheimer s & Dementia and Journal of Pharmacology and Experimental Therapeutics.

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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