Jun Tanaka

601 citations
50 papers · 444 · h-index 12

Impact in

Papers in

Jun Tanaka

43 papers receiving 434 citations

Peers

Jun Tanaka
Comparison fields: 5 of 95
  • Geriatrics and Gerontology 112
  • Physiology 68
  • Biological Psychiatry 9
  • Oncology 84
  • Molecular Biology 194
Replace Mengjie Xiao with:
Mengjie Xiao China
Tae Won Choi South Korea
Avinash Kumar United States
T. Thalhammer Austria
Shujing Zhang China
L. Giovannini Italy
Mao‐Feng Sun Taiwan
Chenghui Liao China
Jinrui Wei China
Elaine Lai Han Leung Macao
Jun Tanaka relative to Mengjie Xiao China Mengjie Xiao's profile →
Citations per field
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Mengjie Xiao · 1×
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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019121
2 200926
3 200924
4 201920
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 201811
11 201711
12 201511
13 197910
14 202110
15 199710
16 20109
17 20219
18 20109
19
Changes in oxidative phosphorylation, adenylate energy charge, and respiratory components in chloramphenicol-treated regenerating rat liver.
19869
20 20228

About Jun Tanaka

Jun Tanaka is a scholar working on Molecular Biology, Computer Networks and Communications, Information Systems, Oncology and Physiology, having authored 50 papers that have together received 444 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (7 papers), Cloud Computing and Resource Management (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Studies on Chitinases and Chitosanases (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Biochemical and Molecular Research (4 papers), Calcium signaling and nucleotide metabolism (4 papers) and Enzyme Production and Characterization (4 papers). The work is most often cited by research in Geriatrics and Gerontology (112 citations), Physiology (68 citations), Biological Psychiatry (9 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 Anthony B. Pinkerton, Stephen J. Gardell, Eduard Sergienko, E. Hampton Sessions, Steven R. Smith, Jeffrey A. Culver, Emmanuel S. Burgos, Jeanne K. Brooks, Shoichi Kanda and Chris Petucci. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Journal of Pharmaceutical Sciences, Nature Communications and Thin Solid Films.

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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