T Miyata

602 citations
12 papers · 480 indexed · h-index 8
Topics
Blood Coagulation and Thrombosis Mechanisms (3 papers)Gallbladder and Bile Duct Disorders (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
Partner nations
Japan

In The Last Decade

T Miyata

12 papers receiving 462 citations

Peers

T Miyata
Comparison fields: 5 of 43
  • Pulmonary and Respiratory Medicine 382
  • Gastroenterology 263
  • Surgery 226
  • Oncology 83
  • Hematology 23
Replace Yinkui Wang with:
Yinkui Wang China
Tomoaki Tashima Japan
Kazuhito Yajima Japan
H. Wilke Germany
Toru Zuiki Japan
C. Abbiati Italy
Einas Abou Ali France
Kevin A. Ghassemi United States
Kazuhito Nabeshima Japan
Maki Ayaki Japan
T Miyata relative to Yinkui Wang China Yinkui Wang's profile →
Citations per field
00.5×8.5×
Yinkui Wang · 1×
Citations per year

Countries citing papers authored by T Miyata

Since Specialization
Citations

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

Fields of papers citing papers by T Miyata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Miyata

This figure shows the co-authorship network connecting the top 25 collaborators of T Miyata. A scholar is included among the top collaborators of T Miyata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T Miyata. T Miyata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 44
2 317
3 10
4 20
5 13
6 4
7
[Differential diagnosis of pancreatic tumor by contrast enhanced color Doppler ultrasonography].
2
8
Factors X Nice I and II: two novel missense mutations (Met-40Val and Pro304Ser) in patient with coagulation factor X deficiency.
7
9 24
10 14
11 24
12
[Examination of cholangiogram of obstructive jaundice using MRI--compared with PTC and ERCP].
1

About T Miyata

T Miyata is a scholar working on Hematology, Gastroenterology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 480 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (3 papers), Gallbladder and Bile Duct Disorders (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Gastroenterology (263 citations), Pulmonary and Respiratory Medicine (382 citations) and Surgery (226 citations). T Miyata has collaborated with scholars based in Japan. Frequent co-authors include K. Ido, Kentaro Sugano, Tomonori Yano, Keijiro Sunada, Hiroshi Kawata, Hiroshi Yamamoto, Aya Sasaki, Kahoko Nakazawa, Kiichi Satoh and Yutaka Sekine. Their work appears in journals such as Thrombosis and Haemostasis, Endoscopy and Journal of Ultrasound in Medicine.

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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