T Kobayashi

450 citations
14 papers · 379 indexed · h-index 6
Topics
Animal Virus Infections Studies (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Viral gastroenteritis research and epidemiology (2 papers)
Partner nations
JapanAlbania

In The Last Decade

T Kobayashi

13 papers receiving 369 citations

Peers

T Kobayashi
Comparison fields: 5 of 60
  • Immunology 173
  • Animal Science and Zoology 108
  • Surgery 87
  • Radiology, Nuclear Medicine and Imaging 61
  • Molecular Biology 42
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Citations per year

Countries citing papers authored by T Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by T Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of T Kobayashi. A scholar is included among the top collaborators of T Kobayashi 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 Kobayashi. T Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 3
2
[Treatment of a persistent postoperative chylothorax with octreotide].
1
3 180
4 14
5 17
6 30
7
[Neurinoma arising from the first branch of the trigeminal nerve: a case report].
1
8
[MR imaging of bone bruise associated with ACL tear].
4
9 106
10 20
11
[Resection of a mediastinal teratoma that perforated the lung and combined with aspergilloma in the tumor cyst].
0
12
19F-MRI of stomach and intestine using 50% FTPA emulsion under 2 T MRI system.
1
13
[Histological diagnosis of brain tumors: (9) Dermoid, epidermoid].
1
14
[Echographic diagnosis of breast tumor--current status of sensitivity graded method of ultrasonotomography and its clinical evaluation (author's transl)].
1

About T Kobayashi

T Kobayashi is a scholar working on Animal Science and Zoology, Neurology and Otorhinolaryngology, having authored 14 papers that have together received 379 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Animal Science and Zoology (108 citations), Immunology (173 citations) and Microbiology (31 citations). T Kobayashi has collaborated with scholars based in Japan and Albania. Frequent co-authors include Taeko Miyazaki, Tadashi Isshiki, T Nagano, Tatsuo NISHIZAWA, Yoshihiro Noguchi, T. Okumura, S Takashima, Kenichi Takayasu, Satoshi Asai and Yukio Muramatsu. Their work appears in journals such as Journal of Virology, Radiology and American Journal of Roentgenology.

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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