Satoshi UNE

727 citations
56 papers · 556 · h-index 15

Impact in

Papers in

    • Pancreatic function and diabetes 16
    • Xenotransplantation and immune response 5
    • Virus-based gene therapy research 6

Satoshi UNE

54 papers receiving 530 citations

Peers

Satoshi UNE
Comparison fields: 5 of 74
  • Reproductive Medicine 68
  • Parasitology 46
  • Small Animals 41
  • Dermatology 40
  • Virology 20
Replace Tetsuya NAKADE with:
Tetsuya NAKADE Japan
Silvia Ferro Italy
Yasuho TAURA Japan
Leigh Ann Jones United Kingdom
Theresa M. Sapp United States
Richard L. Torbeck United States
T. Hayashi Japan
Helen L. Del Puerto Brazil
Murray M. Lipton United States
Satoshi UNE relative to Tetsuya NAKADE Japan Tetsuya NAKADE's profile →
Citations per field
00.5×5.2×
Tetsuya NAKADE · 1×
Citations per year

Countries citing papers authored by Satoshi UNE

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi UNE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200056
2 200030
3 200228
4 200428
5 200228
6 200027
7 200122
8 199822
9 199520
10 200519
11 200419
12 200116
13 199216
14 200515
15 200615
16 200214
17 199513
18 199813
19 200713
20 200712

About Satoshi UNE

Satoshi UNE is a scholar working on Surgery, Genetics, Molecular Biology, Oncology and Epidemiology, having authored 56 papers that have together received 556 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Virus-based gene therapy research (6 papers), Xenotransplantation and immune response (5 papers), Diabetes Management and Research (4 papers), Hedgehog Signaling Pathway Studies (4 papers), Hepatitis B Virus Studies (3 papers), Cannabis and Cannabinoid Research (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Reproductive Medicine (68 citations), Parasitology (46 citations), Small Animals (41 citations), Dermatology (40 citations) and Virology (20 citations). Satoshi UNE has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Munekazu NAKAICHI, Yasuho TAURA, Yoko Mullen, Kazuhito ITAMOTO, Masaru Okuda, Takeshige Otoi, Seiji Arita, Hisashi INOKUMA, Kenji Tani and Masahiro Morimoto. Their work appears in journals such as Pancreas, Veterinary Record, Research in Veterinary Science, Transplantation and Journal of Veterinary Medical 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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