Shogo Kimura

21 papers receiving 234 citations

Peers

Shogo Kimura
Comparison fields: 5 of 66
  • Statistics, Probability and Uncertainty 31
  • Physiology 86
  • Otorhinolaryngology 13
  • Statistics and Probability 17
  • Transplantation 5
Replace Anne Sophie Bargnoux with:
Anne Sophie Bargnoux France
David Alter United States
A. Mata Spain
Jelica Videnović-Ivanov Serbia
Holly N. Smith Canada
Nathalie C. V. Péquériaux Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Shogo Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Shogo Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201670
2 201637
3 202030
4 202016
5 202014
6 202012
7 20219
8 20209
9 20109
10 20196
11 20216
12 20126
13 20244
14
[Six cases of Down's syndrome with leukemia-like blood picture--leukemia and transient abnormal myelopoiesis (TAM)-- (author's transl)].
19774
15 20162
16 20202
17
[Effect of the angiotensin II receptor antagonist (ARB), Irbesartan, on urinary markers in hypertensive patients].
20161
18
Effective synthesis of Pittsburg Compound B (11C-PIB) for clinical application by on-column 11C-methylation
20151
19 19841
20
Effects of CV-11974 on renal haemodynamics and renal function in dogs.
19941

About Shogo Kimura

Shogo Kimura is a scholar working on Surgery, Physiology, Pulmonary and Respiratory Medicine, Mechanical Engineering and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 241 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (2 papers), Tracheal and airway disorders (2 papers), Asthma and respiratory diseases (2 papers), Allergic Rhinitis and Sensitization (1 paper), Surgical Simulation and Training (1 paper), Ubiquitin and proteasome pathways (1 paper), Metallurgy and Material Forming (1 paper) and Sinusitis and nasal conditions (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (31 citations), Physiology (86 citations), Otorhinolaryngology (13 citations), Statistics and Probability (17 citations) and Transplantation (5 citations). Shogo Kimura has collaborated with scholars based in Japan, United Kingdom and Australia. Frequent co-authors include Kiyoshi Ichihara, Akihiro Homma, Julian H. Barth, George G. Klee, Masanobu Suzuki, Yeşim Özarda, Yuji Nakamaru, Yoshihisa Shimizu, Takayoshi Suzuki and Tester F. Ashavaid. Their work appears in journals such as Clinica Chimica Acta, Journal of Biomedical Science, Frontiers in Cellular and Infection Microbiology, SAE technical papers on CD-ROM/SAE technical paper series and Allergology International.

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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