Daichi Sugawara

134 total papers · 785 total citations
44 papers, 468 citations indexed

About

Daichi Sugawara is a scholar working on Clinical Psychology, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Daichi Sugawara has authored 44 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Clinical Psychology, 13 papers in Social Psychology and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Daichi Sugawara's work include COVID-19 and Mental Health (18 papers), Resilience and Mental Health (7 papers) and Psychological Well-being and Life Satisfaction (7 papers). Daichi Sugawara is often cited by papers focused on COVID-19 and Mental Health (18 papers), Resilience and Mental Health (7 papers) and Psychological Well-being and Life Satisfaction (7 papers). Daichi Sugawara collaborates with scholars based in Japan, Malaysia and Israel. Daichi Sugawara's co-authors include Junsaku Nitta, Shutaro Karube, Takahiro Tanaka, Makoto Kohda, Akihiro Masuyama, Takahiro Kubo, Yuta Chishima, Masashi Mizuno, Eugene Y. J. Tee and Ahmet Tanhan and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daichi Sugawara

36 papers receiving 460 citations

Hit Papers

Observation of Spin-Split... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daichi Sugawara 187 150 119 100 98 44 468
Chanhee Kim 134 0.7× 25 0.2× 76 0.6× 21 0.2× 86 0.9× 35 540
Derek W. Johnson 131 0.7× 29 0.2× 81 0.7× 136 1.4× 31 0.3× 32 456
Mei Zhao 82 0.4× 16 0.1× 48 0.4× 52 0.5× 50 0.5× 44 474
Kyungil Kim 46 0.2× 33 0.2× 42 0.4× 11 0.1× 108 1.1× 43 434
D.J. Pedder 41 0.2× 49 0.3× 47 0.4× 14 0.1× 61 0.6× 45 408
Elizabeth Bauer 45 0.2× 9 0.1× 72 0.6× 54 0.5× 44 0.4× 39 465
Yen-Hsun Huang 138 0.7× 41 0.3× 33 0.3× 6 0.1× 41 0.4× 22 499
Ying Gao 41 0.2× 77 0.5× 48 0.4× 20 0.2× 17 0.2× 45 410
Dirk Berger 52 0.3× 31 0.2× 16 0.1× 12 0.1× 41 0.4× 30 457
Jeffrey M. DeVries 53 0.3× 24 0.2× 34 0.3× 13 0.1× 37 0.4× 24 497

Countries citing papers authored by Daichi Sugawara

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Sugawara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichi Sugawara

This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Sugawara. A scholar is included among the top collaborators of Daichi Sugawara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daichi Sugawara. Daichi Sugawara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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