Akio Tada

751 citations
85 papers · 536 · h-index 13

Impact in

Papers in

Akio Tada

77 papers receiving 516 citations

Peers

Akio Tada
Comparison fields: 5 of 75
  • Catalysis 135
  • Inorganic Chemistry 146
  • Materials Chemistry 298
  • Industrial and Manufacturing Engineering 47
  • Process Chemistry and Technology 13
Replace Д. И. Кочубей with:
Д. И. Кочубей Russia
Е. А. Паукштис Russia
Pier Francesco Rossi Italy
Dimitris E. Petrakis Greece
Boris G. Shpeizer United States
Thomas R. Gaffney United States
E. A. Paukshtis Russia
K. Ueyama Japan
А.А. Петушков Russia
Terry J. Mazanec United States
Akio Tada relative to Д. И. Кочубей Russia Д. И. Кочубей's profile →
Citations per field
00.5×4.5×
Д. И. Кочубей · 1×
Citations per year

Countries citing papers authored by Akio Tada

Since Specialization
Citations

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

Fields of papers citing papers by Akio Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199346
2 200838
3 198727
4 197525
5
[Measurement volume of intracranial hematoma by computed tomography (author's transl)].
198121
6 199720
7 198219
8 199715
9 198715
10 198114
11 200813
12 199713
13 200113
14 199412
15 200211
16 199911
17 199611
18 198710
19 197510
20 201610

About Akio Tada

Akio Tada is a scholar working on Materials Chemistry, Inorganic Chemistry, Catalysis, Electrical and Electronic Engineering and Mechanical Engineering, having authored 85 papers that have together received 536 indexed citations. Recurring topics across this work include Zeolite Catalysis and Synthesis (21 papers), Catalytic Processes in Materials Science (21 papers), Catalysis and Oxidation Reactions (16 papers), Mesoporous Materials and Catalysis (11 papers), Chemical Synthesis and Characterization (10 papers), Catalysis and Hydrodesulfurization Studies (6 papers), Semiconductor materials and devices (5 papers) and Industrial Gas Emission Control (4 papers). The work is most often cited by research in Catalysis (135 citations), Inorganic Chemistry (146 citations), Materials Chemistry (298 citations), Industrial and Manufacturing Engineering (47 citations) and Process Chemistry and Technology (13 citations). Akio Tada has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Noriyasu Okazaki, Hidenobu Itoh, S Kadoya, Motoi Takahashi, Masakazu Iwamoto, Takeshi Tabata, Kozo Tanabe, H. Itoh, Masatoshi Yoshida and Tsutomu Nakamura. Their work appears in journals such as Chemistry Letters, Journal of the Japan Petroleum Institute, Neuroradiology, Applied Surface Science and Odontology.

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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