Jun Ohta

610 citations
47 papers · 505 · h-index 11

Impact in

Papers in

    • Molecular Biology Techniques and Applications 4
    • Sulfur Compounds in Biology 15
    • Amino Acid Enzymes and Metabolism 5

Jun Ohta

45 papers receiving 492 citations

Peers

Jun Ohta
Comparison fields: 5 of 92
  • Biochemistry 158
  • Cardiology and Cardiovascular Medicine 117
  • Endocrine and Autonomic Systems 21
  • Clinical Biochemistry 20
  • Molecular Biology 203
Replace Yoshitaka Murata with:
Yoshitaka Murata Japan
Iraimoudi S. Ayene United States
Tomomi Hashidate‐Yoshida Japan
Madhavi Gidh‐Jain United States
Helen Bradley United Kingdom
Karl Fickenscher Germany
Pushpa Patel United Kingdom
Conchi Mora Spain
Kenneth Drake United States
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Citations per field
00.5×7.5×
Yoshitaka Murata · 1×
Citations per year

Countries citing papers authored by Jun Ohta

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ohta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002109
2 199056
3 199248
4 200447
5 201918
6 199816
7 199116
8 199714
9 199414
10 199212
11 199611
12 202210
13 199410
14 19959
15 19919
16 19899
17
Effect of L-2-oxothiazolidine-4-carboxylate administration on glutathione and cysteine concentrations in guinea pig liver and kidney.
19879
18 20177
19 20186
20 20006

About Jun Ohta

Jun Ohta is a scholar working on Molecular Biology, Biochemistry, Cell Biology, Physiology and Rheumatology, having authored 47 papers that have together received 505 indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (15 papers), Folate and B Vitamins Research (6 papers), Biochemical effects in animals (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Aldose Reductase and Taurine (5 papers), Forensic Anthropology and Bioarchaeology Studies (4 papers), Metabolism and Genetic Disorders (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Biochemistry (158 citations), Cardiology and Cardiovascular Medicine (117 citations), Endocrine and Autonomic Systems (21 citations), Clinical Biochemistry (20 citations) and Molecular Biology (203 citations). Jun Ohta has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include T Ubuka, Noriyoshi Masuoka, Masahiro Kinuta, Wenyan Yao, T Abe, Shigeki Yuasa, Jeffrey A. Towbin, Neil E. Bowles, Shinichi Tsubata and Toshio Miyawaki. Their work appears in journals such as Amino Acids, Journal of Forensic Sciences, Legal Medicine, Forensic Science International Genetics and Advances in experimental medicine and biology.

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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