Akichika Mikami

5.2k citations
96 papers · 3.9k indexed · 1 hit paper · h-index 34
Topics
Visual perception and processing mechanisms (45 papers)Neural dynamics and brain function (40 papers)Neurobiology and Insect Physiology Research (16 papers)

In The Last Decade

Akichika Mikami

94 papers receiving 3.8k citations

Hit Papers

Deficits in visual motion processing following ibotenic a...19852026199820121985100200300400500

Peers

Akichika Mikami
Comparison fields: 5 of 145
  • Cognitive Neuroscience 2.8k
  • Cellular and Molecular Neuroscience 871
  • Molecular Biology 694
  • Social Psychology 396
  • Neurology 253
Replace Giorgio M. Innocenti with:
Giorgio M. Innocenti Sweden
Carl R. Olson United States
Robert W. Doty United States
Katsuki Nakamura Japan
Carlos Eduardo Rocha‐Miranda Brazil
Marcello G. P. Rosa Australia
L.A. Benevento United States
Andreas Burkhalter United States
Anna Wang Roe United States
Leah Krubitzer United States
Akichika Mikami relative to Giorgio M. Innocenti Sweden Giorgio M. Innocenti's profile →
Citations per field
00.5×1.6×
Giorgio M. Innocenti · 1×
Citations per year

Countries citing papers authored by Akichika Mikami

Since Specialization
Citations

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

Fields of papers citing papers by Akichika Mikami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akichika Mikami

This figure shows the co-authorship network connecting the top 25 collaborators of Akichika Mikami. A scholar is included among the top collaborators of Akichika Mikami 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 Akichika Mikami. Akichika Mikami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 7
4 4
5 10
6 11
7 5
8 51
9 9
10 26
11 39
12 16
13 7
14 10
15 9
16 3
17 29
18 48
19 28
20 137

About Akichika Mikami

Akichika Mikami is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Biology, having authored 96 papers that have together received 3.9k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (45 papers), Neural dynamics and brain function (40 papers) and Neurobiology and Insect Physiology Research (16 papers). The work is most often cited by research in Cognitive Neuroscience (2.8k citations), Cellular and Molecular Neuroscience (871 citations) and Developmental Biology (94 citations). Akichika Mikami has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Robert H. Wurtz, William T. Newsome, WT Newsome, Max Dürsteler, R. H. Wurtz, Kisou Kubota, Kinziro Kubota, Tetsuo Koyama, Yusuke Tanaka and Tetsuro Matsuzawa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

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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