Jun Igarashi

3.1k citations
112 papers · 2.5k · h-index 29

Impact in

    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
  • Neurology top 5%
    • Neuroblastoma Research and Treatments

Papers in

Jun Igarashi

105 papers receiving 2.4k citations

Peers

Jun Igarashi
Comparison fields: 5 of 134
  • Cognitive Neuroscience 433
  • Neurology 287
  • Molecular Medicine 86
  • Molecular Biology 1.0k
  • Cancer Research 177
Replace Rebecca A. Reiman with:
Rebecca A. Reiman United States
Tzeng‐Horng Leu Taiwan
Gabriele Di Sante Italy
Ramin Homayouni United States
Federico Manai Italy
Prof. dr. Antoine van Kampen Netherlands
Chia‐Wei Li Taiwan
Shanshan Hu China
Peter Findeisen Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jun Igarashi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Igarashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008150
2 2004132
3 2011117
4 2012103
5 201195
6 199983
7 201481
8 200781
9 201880
10 200775
11 200771
12 201365
13 201363
14 200955
15 200549
16 201247
17 200342
18 200838
19 199938
20 200937

About Jun Igarashi

Jun Igarashi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Molecular Biology and Surgery, having authored 112 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Advanced Memory and Neural Computing (14 papers), Bacterial biofilms and quorum sensing (9 papers), Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (6 papers), Fatty Acid Research and Health (5 papers), Functional Brain Connectivity Studies (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cognitive Neuroscience (433 citations), Neurology (287 citations), Molecular Medicine (86 citations), Molecular Biology (1.0k citations) and Cancer Research (177 citations). Jun Igarashi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tadashi Yamazaki, Hiroaki Suga, Hiroki Nagase, Tomoki Fukai, Wataru Adachi, Jun Amano, Naohiko Koide, Garrett M. Brodeur, Peter S. White and Erin R. Okawa. Their work appears in journals such as Frontiers in Neuroinformatics, European Journal of Pediatrics, Surgery Today, The American Journal of Gastroenterology and International Journal of Oncology.

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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