Junya Ohyama

5.0k citations
151 papers · 4.2k · h-index 34

Impact in

Papers in

    • Catalytic Processes in Materials Science 113
    • Machine Learning in Materials Science 18
    • Catalysis and Oxidation Reactions 69

Junya Ohyama

147 papers receiving 4.2k citations

Peers

Junya Ohyama
Comparison fields: 5 of 83
  • Catalysis 1.8k
  • Renewable Energy, Sustainability and the Environment 1.3k
  • Materials Chemistry 3.1k
  • Inorganic Chemistry 364
  • Organic Chemistry 740
Replace Xiang‐Kui Gu with:
Xiang‐Kui Gu China
Dan I. Enache United Kingdom
Katsutoshi Nagaoka Japan
Dmitry E. Doronkin Germany
Yuta Yamamoto Japan
Shaohua Xie China
Albert Bruix Spain
Botao Teng China
Yun Zhao China
Zhiyuan Qi United States
Junya Ohyama relative to Xiang‐Kui Gu China Xiang‐Kui Gu's profile →
Citations per field
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Xiang‐Kui Gu · 1×
Citations per year

Countries citing papers authored by Junya Ohyama

Since Specialization
Citations

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

Fields of papers citing papers by Junya Ohyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017316
2 2013235
3 2020147
4 2012144
5 2019143
6 2019142
7 2012112
8 201696
9 201496
10 201195
11 201887
12 202074
13 201274
14 201774
15 201573
16 201870
17 201765
18 202063
19 202155
20 201655

About Junya Ohyama

Junya Ohyama is a scholar working on Materials Chemistry, Catalysis, Organic Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 151 papers that have together received 4.2k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (113 papers), Catalysis and Oxidation Reactions (69 papers), Nanomaterials for catalytic reactions (39 papers), Electrocatalysts for Energy Conversion (29 papers), Catalysis and Hydrodesulfurization Studies (21 papers), Machine Learning in Materials Science (18 papers), Fuel Cells and Related Materials (18 papers) and Catalysis for Biomass Conversion (11 papers). The work is most often cited by research in Catalysis (1.8k citations), Renewable Energy, Sustainability and the Environment (1.3k citations), Materials Chemistry (3.1k citations), Inorganic Chemistry (364 citations) and Organic Chemistry (740 citations). Junya Ohyama has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Atsushi Satsuma, Yuta Yamamoto, Shigeo Arai, Kazumasa Murata, Yuji Mahara, Shun Nishimura, Keisuke Takahashi, Masato Machida, Hiroshi Yoshida and Kakuya Ueda. Their work appears in journals such as Catalysis Science & Technology, ACS Catalysis, Catalysis Today, ChemCatChem and The Journal of Physical Chemistry C.

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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