Jun Gotoh

1.7k citations
33 papers · 1.3k · h-index 20

Impact in

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

Papers in

Jun Gotoh

32 papers receiving 1.2k citations

Peers

Jun Gotoh
Comparison fields: 5 of 105
  • Neurology 332
  • Neurology 106
  • Developmental Neuroscience 50
  • Internal Medicine 33
  • Cellular and Molecular Neuroscience 170
Replace Chen Xu Wang with:
Chen Xu Wang Canada
Xian Nan Tang United States
Minmin Ma China
Roland Faigle United States
Gabriel Guízar‐Sahagún Mexico
Alexander Gordon United Kingdom
Takashi Matsumoto Japan
Samir Abu‐Rumeileh Italy
Jun Gotoh relative to Chen Xu Wang Canada Chen Xu Wang's profile →
Citations per field
00.5×4.7×
Chen Xu Wang · 1×
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 2003103
3 200299
4 200883
5 199982
6 200572
7 200171
8 200463
9 201053
10 201249
11 199348
12
Evaluation of PCR-based methods for the diagnosis of tuberculosis by identification of mycobacterial DNA in urine samples.
200242
13 201139
14 201234
15 200234
16 200831
17 200026
18 200225
19 200024
20 199420

About Jun Gotoh

Jun Gotoh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Physiology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Acute Ischemic Stroke Management (4 papers), Neuroscience of respiration and sleep (4 papers), Cell death mechanisms and regulation (3 papers), Mitochondrial Function and Pathology (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Neurology (332 citations), Neurology (106 citations), Developmental Neuroscience (50 citations), Internal Medicine (33 citations) and Cellular and Molecular Neuroscience (170 citations). Jun Gotoh has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Yasuo Fukuuchi, Mamoru Shibata, Shinichi Takahashi, Masahiro Yasaka, Kazuo Minematsu, Shinichiro Uchiyama, Tomohiro Sakamoto, Takehiko Nagao, Ken Nagata and Ḱazunori Toyoda. Their work appears in journals such as Stroke, Journal of Cerebral Blood Flow & Metabolism, Cerebrovascular Diseases, Neuroreport 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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