Takashi Mita

2.2k citations
89 papers · 1.6k · h-index 24

Impact in

Papers in

    • Protist diversity and phylogeny 15
    • Photosynthetic Processes and Mechanisms 9
    • Plant Reproductive Biology 5
    • Microbial Community Ecology and Physiology 10

Takashi Mita

84 papers receiving 1.6k citations

Peers

Takashi Mita
Comparison fields: 5 of 126
  • Molecular Biology 928
  • Applied Microbiology and Biotechnology 22
  • Cell Biology 164
  • Cellular and Molecular Neuroscience 173
  • Psychiatry and Mental health 126
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Takashi Mita relative to Soo‐Young Kim South Korea Soo‐Young Kim's profile →
Citations per field
00.5×4.3×
Soo‐Young Kim · 1×
Citations per year

Countries citing papers authored by Takashi Mita

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010102
2 198886
3 199783
4 199877
5 198671
6 199866
7 198460
8 199250
9 196645
10 198944
11 200141
12 200239
13 202137
14 199536
15 199035
16 198634
17 199232
18 199130
19 199428
20 200126

About Takashi Mita

Takashi Mita is a scholar working on Molecular Biology, Ecology, Cellular and Molecular Neuroscience, Plant Science and Genetics, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (15 papers), Neuroscience and Neuropharmacology Research (10 papers), Microbial Community Ecology and Physiology (10 papers), Photosynthetic Processes and Mechanisms (9 papers), Global Public Health Policies and Epidemiology (7 papers), Plant Molecular Biology Research (5 papers), Epilepsy research and treatment (5 papers) and Plant Reproductive Biology (5 papers). The work is most often cited by research in Molecular Biology (928 citations), Applied Microbiology and Biotechnology (22 citations), Cell Biology (164 citations), Cellular and Molecular Neuroscience (173 citations) and Psychiatry and Mental health (126 citations). Takashi Mita has collaborated with scholars based in Japan, United Kingdom and Netherlands. Frequent co-authors include Hiroh Shibaoka, Mamoru Isemura, Tsuneyoshi Kuroiwa, Osamu Ohmori, Takashi Matsui, Yukiko Fueta, Hidetoshi Saiga, Kazuhiko Abe, Koichi Iwai and T. Kuroiwa. Their work appears in journals such as Plant and Cell Physiology, The Journal of Biochemistry, Nucleic Acids Research, PROTOPLASMA and Brain Research.

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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