Jun Tamura

1.2k citations
106 papers · 842 · h-index 17

Impact in

  • Equine top 2%
    • Veterinary Equine Medical Research
    • Veterinary Pharmacology and Anesthesia

Papers in

Jun Tamura

92 papers receiving 805 citations

Peers

Jun Tamura
Comparison fields: 5 of 104
  • Equine 53
  • Small Animals 207
  • Anesthesiology and Pain Medicine 103
  • Process Chemistry and Technology 21
  • Catalysis 49
Replace David Lewis with:
David Lewis United Kingdom
Jin-Sik Park South Korea
Masatoshi Hashimoto Japan
Johan van der Merwe South Africa
J.L. Castillo-Olivares Spain
Connor Randall United States
Gowri Satyanarayana United States
Philip Dost Germany
Benjamin Shaffer United States
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Citations per field
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Citations per year

Countries citing papers authored by Jun Tamura

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201580
2 201366
3 201447
4 201346
5 201539
6
Eosinophilic gastroenteritis presenting with acute pancreatitis.
199734
7 201527
8 202224
9 201324
10 201623
11 200722
12 201721
13 200619
14 201719
15 199119
16 201318
17 201116
18 201115
19
Ultrastructure of myeloma cells in patients with common acute lymphoblastic leukemia antigen (CALLA)-positive myeloma.
198814
20 201213

About Jun Tamura

Jun Tamura is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Small Animals and Anesthesiology and Pain Medicine, having authored 106 papers that have together received 842 indexed citations. Recurring topics across this work include Veterinary Pharmacology and Anesthesia (16 papers), Anesthesia and Sedative Agents (13 papers), Electric Motor Design and Analysis (8 papers), Anesthesia and Pain Management (8 papers), Gastrointestinal Tumor Research and Treatment (6 papers), Gastric Cancer Management and Outcomes (6 papers), Gastrointestinal disorders and treatments (6 papers) and Wind Turbine Control Systems (5 papers). The work is most often cited by research in Equine (53 citations), Small Animals (207 citations), Anesthesiology and Pain Medicine (103 citations), Process Chemistry and Technology (21 citations) and Catalysis (49 citations). Jun Tamura has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Chen-Yen Yu, R. D. Lorenz, Kazuto YAMASHITA, Tomohito Ishizuka, Takaharu ITAMI, David Reigosa, Tadashi Sano, Sho Fukui, Kenjiro MIYOSHI and Satoshi Mikoshiba. Their work appears in journals such as IEEE Transactions on Industry Applications, Journal of Veterinary Medical Science, Japanese Journal of Applied Physics, EXPERIMENTAL ANIMALS and Journal of Gastroenterology.

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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