Shusuke Numata

132 papers receiving 4.2k citations

Shusuke Numata's Hit Papers

Improving polygenic prediction in ancestrally diverse populations 2022 · 397 citations
3970+1+2Years since publication100200300

Peers

Shusuke Numata
Comparison fields: 5 of 103
  • Biological Psychiatry 148
  • Psychiatry and Mental health 1.8k
  • Behavioral Neuroscience 72
  • Pharmacology 371
  • Genetics 708
Replace Akitoyo Hishimoto with:
Akitoyo Hishimoto Japan
Alexander B. Niculescu United States
Elisabet Vilella Spain
Janos L. Kalman Hungary
Luxian Lv China
Tetsuro Ohmori Japan
Helen Le-Niculescu United States
Nils Eiel Steen Norway
Elizabeth Crocco United States
Jun‐ichi Iga Japan
Shusuke Numata relative to Akitoyo Hishimoto Japan Akitoyo Hishimoto's profile →
Citations per field
00.5×2×2.9×
Akitoyo Hishimoto · 1×
Citations per year

Countries citing papers authored by Shusuke Numata

Since Specialization
Citations

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

Fields of papers citing papers by Shusuke Numata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Improving polygenic prediction in ancestrally diverse populations
Hit paper breakdown →
2022397
2 2012314
3 2007221
4 2018184
5 2016111
6 200899
7 200995
8 200693
9 200692
10 200691
11 201483
12 200774
13 201573
14 201267
15 201667
16 201465
17 201464
18 201053
19 201552
20 201852

About Shusuke Numata

Shusuke Numata is a scholar working on Psychiatry and Mental health, Pharmacology, Genetics, Biological Psychiatry and Public Health, Environmental and Occupational Health, having authored 140 papers that have together received 4.3k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (74 papers), Epigenetics and DNA Methylation (14 papers), Treatment of Major Depression (13 papers), Clinical practice guidelines implementation (10 papers), Genetic Associations and Epidemiology (9 papers), Bipolar Disorder and Treatment (8 papers), Folate and B Vitamins Research (5 papers) and Mental Health Treatment and Access (4 papers). The work is most often cited by research in Biological Psychiatry (148 citations), Psychiatry and Mental health (1.8k citations), Behavioral Neuroscience (72 citations), Pharmacology (371 citations) and Genetics (708 citations). Shusuke Numata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tetsuro Ohmori, Jun‐ichi Iga, Shuichi Ueno, Makoto Kinoshita, Masahito Nakataki, Sumiko Shibuya‐Tayoshi, Atsushi Tajima, Satsuki Sumitani, Yasuhiro Kaneda and Issei Imoto. Their work appears in journals such as Psychiatry and Clinical Neurosciences, Schizophrenia Research, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Scientific Reports and Journal of Psychiatric 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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