Masashi Mita

3.0k citations
77 papers · 1.9k indexed · h-index 22

Masashi Mita

74 papers receiving 1.9k citations

Peers

Masashi Mita
Comparison fields: 5 of 93
  • Biochemistry 1.3k
  • Clinical Biochemistry 710
  • Biological Psychiatry 114
  • Spectroscopy 654
  • Molecular Biology 882
Replace Yurika Miyoshi with:
Yurika Miyoshi Japan
Naoko Utsunomiya‐Tate Japan
Richard J. Shannon United Kingdom
Travis T. Denton United States
Andisheh Abedini United States
Katarzyna A. Nałęcz Poland
Wolfram H. Walker United States
Margaret L. Fonda United States
Rosemary Paschke United States
Garrett R. Ainslie United States
Masashi Mita relative to Yurika Miyoshi Japan Yurika Miyoshi's profile →
Citations per field
00.5×1.7×
Yurika Miyoshi · 1×
Citations per year

Countries citing papers authored by Masashi Mita

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20243
3 20246
4 20236
5 20237
6 20233
7 20233
8 202210
9 202117
10 202116
11 20202
12 20202
13 201912
14 201976
15 201918
16 20187
17 201562
18 201238
19 201213
20 201163

About Masashi Mita

Masashi Mita is a scholar working on Biochemistry, Clinical Biochemistry, Biological Psychiatry, Spectroscopy and Cellular and Molecular Neuroscience, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (66 papers), Metabolism and Genetic Disorders (48 papers), Epigenetics and DNA Methylation (20 papers), Diet and metabolism studies (14 papers), Neuroscience and Neuropharmacology Research (13 papers), Molecular Sensors and Ion Detection (12 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Analytical Chemistry and Chromatography (6 papers). The work is most often cited by research in Biochemistry (1.3k citations), Clinical Biochemistry (710 citations), Biological Psychiatry (114 citations), Spectroscopy (654 citations) and Molecular Biology (882 citations). Masashi Mita has collaborated with scholars based in Japan, Austria and Taiwan. Frequent co-authors include Kenji Hamase, Yurika Miyoshi, Ryuichi Konno, Wolfgang Lindner, Jumpei Sasabe, Takeyuki Akita, Masataka Suzuki, Kiyoshi Zaitsu, Tomonori Kimura and Yosuke Tojo. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Journal of Chromatography A, Scientific Reports, Journal of Chromatography B and Amino Acids.

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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