Jun Tanaka

624 citations
52 papers · 448 · h-index 12

Impact in

Papers in

Jun Tanaka

44 papers receiving 438 citations

Peers

Jun Tanaka
Comparison fields: 5 of 95
  • Geriatrics and Gerontology 114
  • Physiology 69
  • Biological Psychiatry 10
  • Oncology 84
  • Molecular Biology 194
Replace Lulu Yang with:
Lulu Yang China
Mengjie Xiao China
Anwesha Chatterjee United States
Hanzhi Wu United States
L. Giovannini Italy
Jia-Ni Lin Taiwan
Avinash Kumar United States
T. Thalhammer Austria
Chenghui Liao China
Tianshun Zhang United States
Jun Tanaka relative to Lulu Yang China Lulu Yang's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Jun Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 200926
3 200924
4 201924
5 200220
6 201116
7 202115
8
A study of oxidative phosphorylative activity and calcium-induced respiration of rat liver mitochondria following living Escherichia coli injection.
198215
9 201213
10 201712
11 201812
12 201511
13 199710
14 202110
15 20219
16 20109
17 20109
18
Changes in oxidative phosphorylation, adenylate energy charge, and respiratory components in chloramphenicol-treated regenerating rat liver.
19869
19 20228
20 20187

About Jun Tanaka

Jun Tanaka is a scholar working on Molecular Biology, Computer Networks and Communications, Information Systems, Endocrinology, Diabetes and Metabolism and Oncology, having authored 52 papers that have together received 448 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Cloud Computing and Resource Management (6 papers), Studies on Chitinases and Chitosanases (5 papers), Calcium signaling and nucleotide metabolism (4 papers), Biochemical and Molecular Research (4 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Software-Defined Networks and 5G (4 papers). The work is most often cited by research in Geriatrics and Gerontology (114 citations), Physiology (69 citations), Biological Psychiatry (10 citations), Oncology (84 citations) and Molecular Biology (194 citations). Jun Tanaka has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include E. Hampton Sessions, Anthony B. Pinkerton, Eduard Sergienko, Stephen J. Gardell, Steven E. Cohen, Chris Petucci, Steven R. Smith, Jennifer S. Hirschi, Shoichi Kanda and Jeanne K. Brooks. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, International Immunology, Glycobiology and Science.

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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