Eri Hashimoto

90 papers receiving 1.8k citations

Peers

Eri Hashimoto
Comparison fields: 5 of 114
  • Biological Psychiatry 124
  • Developmental Neuroscience 155
  • Cellular and Molecular Neuroscience 369
  • Behavioral Neuroscience 68
  • Immunology 270
Replace Takeshi Yabe with:
Takeshi Yabe Japan
G. Konat� United States
Rosemary M. Gibson United Kingdom
Deling Yin United States
Thangiah Geetha United States
Daniel Ortuño‐Sahagún Mexico
Francisco J. Carrillo‐Salinas Spain
Yahong Zhang China
Lin Sun China
Maria Cristina Petralia Italy
Eri Hashimoto relative to Takeshi Yabe Japan Takeshi Yabe's profile →
Citations per field
00.5×1.5×2.2×
Takeshi Yabe · 1×
Citations per year

Countries citing papers authored by Eri Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Eri Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011144
2 2012100
3 201596
4 200495
5 201592
6 201467
7 200855
8 201452
9 201351
10 200544
11 200443
12 201043
13 199643
14 200740
15 200539
16 201539
17 199238
18 200836
19 200731
20 199228

About Eri Hashimoto

Eri Hashimoto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Genetics and Developmental Neuroscience, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Nerve injury and regeneration (9 papers), S100 Proteins and Annexins (7 papers), Neuropeptides and Animal Physiology (5 papers), Prenatal Substance Exposure Effects (5 papers), Microbial Natural Products and Biosynthesis (5 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Biological Psychiatry (124 citations), Developmental Neuroscience (155 citations), Cellular and Molecular Neuroscience (369 citations), Behavioral Neuroscience (68 citations) and Immunology (270 citations). Eri Hashimoto has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Toshikazu Saito, Wataru Ukai, Jun Kunisawa, Masaru Tateno, Satoshi Saitô, Hiroshi Kiyono, Izumi Ishikawa, Yuji Suzuki, Toshio Ohta and Takao Ishii. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Journal of Neural Transmission, PLoS ONE, Progress in Neuro-Psychopharmacology and Biological Psychiatry and The Journal of Antibiotics.

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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