Hiroshi Ujike

9.5k citations
208 papers · 6.4k · h-index 44

Impact in

Papers in

Hiroshi Ujike

207 papers receiving 6.3k citations

Peers

Hiroshi Ujike
Comparison fields: 5 of 119
  • Cellular and Molecular Neuroscience 3.4k
  • Biological Psychiatry 351
  • Developmental Neuroscience 207
  • Psychiatry and Mental health 658
  • Molecular Biology 2.8k
Replace Gretchen L. Snyder with:
Gretchen L. Snyder United States
Kimberly Scearce‐Levie United States
Henry Sershen United States
Paul J. Lombroso United States
Toshiya Inada Japan
Guy R. Seabrook United States
Bruce Ladenheim United States
Sergio Tanganelli Italy
Alessandro Usiello Italy
Emmanuel Hermans Belgium
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Citations per field
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Gretchen L. Snyder · 1×
Citations per year

Countries citing papers authored by Hiroshi Ujike

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Ujike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997448
2 1997320
3 2004206
4 2002181
5 1989126
6 2003122
7 2002108
8 2002107
9 2005103
10 2008102
11 2005102
12 199199
13 199091
14 199688
15 200887
16 200683
17 200380
18 200872
19 201071
20 200369

About Hiroshi Ujike

Hiroshi Ujike is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Physiology, having authored 208 papers that have together received 6.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (60 papers), Receptor Mechanisms and Signaling (41 papers), Neuroscience and Neuropharmacology Research (31 papers), Genetic Associations and Epidemiology (24 papers), Parkinson's Disease Mechanisms and Treatments (17 papers), Genetics and Neurodevelopmental Disorders (16 papers), Neuropeptides and Animal Physiology (15 papers) and Amino Acid Enzymes and Metabolism (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.4k citations), Biological Psychiatry (351 citations), Developmental Neuroscience (207 citations), Psychiatry and Mental health (658 citations) and Molecular Biology (2.8k citations). Hiroshi Ujike has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ichiro Sora, Shigetoshi Kuroda, Norio Ozaki, Kazufumi Akiyama, Toshiya Inada, Nakao Iwata, George R. Uhl, Randal S. Revay, Saburo Otsuki and Mitsumoto Sato. Their work appears in journals such as Annals of the New York Academy of Sciences, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Current Neuropharmacology, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Schizophrenia Research.

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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