Koji Tada

52 papers receiving 846 citations

Peers

Koji Tada
Comparison fields: 5 of 122
  • Cellular and Molecular Neuroscience 246
  • Behavioral Neuroscience 23
  • Clinical Psychology 131
  • Cognitive Neuroscience 117
  • Bioengineering 33
Replace Huijun Tian with:
Huijun Tian United States
Peter B. Silverman United States
S.E. Lappi United States
Keisuke Nakajima Japan
R. Schmidt Germany
Pieter Janssen Belgium
André Pampel Germany
Tae‐Suk Kim South Korea
Hiroko Itoh Japan
Marcus Allen United Kingdom
Koji Tada relative to Huijun Tian United States Huijun Tian's profile →
Citations per field
00.5×2.7×
Huijun Tian · 1×
Citations per year

Countries citing papers authored by Koji Tada

Since Specialization
Citations

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

Fields of papers citing papers by Koji Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006150
2 199878
3 199472
4 199967
5 199962
6 199041
7 198937
8 200434
9
Formiminotransferase-deficiency syndrome: a new inborn error of folic acid metabolism.
196534
10 199931
11 199427
12 199227
13 198623
14 199522
15 198518
16 202217
17 198211
18 19899
19 19949
20 19879

About Koji Tada

Koji Tada is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Surgery and Condensed Matter Physics, having authored 58 papers that have together received 889 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Physics of Superconductivity and Magnetism (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (5 papers), Receptor Mechanisms and Signaling (4 papers), Rare-earth and actinide compounds (3 papers), Epilepsy research and treatment (3 papers) and Semiconductor Quantum Structures and Devices (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (246 citations), Behavioral Neuroscience (23 citations), Clinical Psychology (131 citations), Cognitive Neuroscience (117 citations) and Bioengineering (33 citations). Koji Tada has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Takuya Kojima, Kimihiro Kasamo, Casimir A. Fornal, Tadashi Suzuki, Barry L. Jacobs, Claudia Metzler‐Baddeley, Koichi Ishikawa, Naoki Ueda, Nagayasu Toyoda and Shinji Satoh. Their work appears in journals such as Physica C Superconductivity, Japanese Journal of Applied Physics, Journal of Pharmacology and Experimental Therapeutics, Biological Psychiatry and Neuropsychobiology.

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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