T. Irisa

15 papers receiving 499 citations

Peers

T. Irisa
Comparison fields: 5 of 58
  • Orthopedics and Sports Medicine 325
  • Oncology 106
  • Genetics 37
  • Surgery 140
  • Rheumatology 46
Replace Yasushi Nawata with:
Yasushi Nawata Japan
Gianantonio Saviola Italy
Olumide Aruwajoye United States
Ashley J.P. Yates United States
R Möricke Germany
Ryuta Asada Japan
Kabir Malkani United States
A. J. Ostor United Kingdom
Ann Steele United States
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T. Irisa relative to Yasushi Nawata Japan Yasushi Nawata's profile →
Citations per field
00.5×3.1×
Yasushi Nawata · 1×
Citations per year

Countries citing papers authored by T. Irisa

Since Specialization
Citations

This map shows the geographic impact of T. Irisa'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 T. Irisa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Irisa more than expected).

Fields of papers citing papers by T. Irisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002130
2 2002102
3 200067
4 200147
5 200143
6 200836
7 199932
8
Diagnostic significance of fasting serum bile acid in liver disease.
197713
9 200611
10 199511
11
Dye clearance studies in Rotor's syndrome.
197910
12
[A case of hepatic angiomyolipoma simulating hepatocellular carcinoma on diagnostic imagings due to atypical histological findings].
19915
13 20084
14
Value of B-scan ultrasonography in the diagnosis of liver cancer. Accuracy compared to scintigraphy and angiography.
19784
15 20021
16 20090
17
[Diagnosis of diffuse liver diseases by the hepatic scintigram].
19690

About T. Irisa

T. Irisa is a scholar working on Orthopedics and Sports Medicine, Epidemiology, Oncology, Surgery and Molecular Biology, having authored 17 papers that have together received 516 indexed citations. Recurring topics across this work include Bone and Joint Diseases (9 papers), Liver Disease Diagnosis and Treatment (3 papers), Hip disorders and treatments (2 papers), Bone health and treatments (2 papers), Mesenchymal stem cell research (2 papers), Dermatological and COVID-19 studies (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Methemoglobinemia and Tumor Lysis Syndrome (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (325 citations), Oncology (106 citations), Genetics (37 citations), Surgery (140 citations) and Rheumatology (46 citations). T. Irisa has collaborated with scholars based in Japan and Slovakia. Frequent co-authors include Yukihide Iwamoto, Keita Miyanishi, Takuaki Yamamoto, Seiya Jingushi, Aya Yamashita, Yasuo Noguchi, Yôichi Sugioka, Takuaki Yamamoto, Akihisa Yamashita and Yutaka Nakashima. Their work appears in journals such as Bone, Archives of Orthopaedic and Trauma Surgery, Acta Orthopaedica, The Journal of Rheumatology and Digestion.

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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