Kimie Sho

1.2k total citations
25 papers, 876 citations indexed

About

Kimie Sho is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Kimie Sho has authored 25 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Physiology. Recurrent topics in Kimie Sho's work include Thyroid Disorders and Treatments (11 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Adenosine and Purinergic Signaling (7 papers). Kimie Sho is often cited by papers focused on Thyroid Disorders and Treatments (11 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Adenosine and Purinergic Signaling (7 papers). Kimie Sho collaborates with scholars based in Japan and United States. Kimie Sho's co-authors include Yoichi Kondo, Fumikazu Okajima, Hideaki Tomura, Kōichi Sato, M. A. Majid, Hidekazu Nishigori, Jun Takeda, Martina Nazarea, Takao Kimura and Mohammed Akbar and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Biochemical Journal.

In The Last Decade

Kimie Sho

25 papers receiving 848 citations

Peers

Kimie Sho
Comparison fields: 5 of 68
  • Molecular Biology 627
  • Endocrinology, Diabetes and Metabolism 207
  • Surgery 200
  • Physiology 196
  • Genetics 170
Replace Eleanor D. Kennedy with:
Eleanor D. Kennedy United Kingdom
C. Southern United Kingdom
Jane Stutchfield United Kingdom
Kazuro Yaekura Japan
Mariella Iezzi Switzerland
Sundar Suresh United States
J C Hutton United Kingdom
Neelanjan Vishnu Sweden
A H Tashjian United States
Hazel M. Scott United Kingdom
Eleanor D. Kennedy United Kingdom View profile →
Citations per field, relative to Kimie Sho
Kimie Sho · 1×
Citations per year, relative to Kimie Sho
Kimie Sho · 1×

Countries citing papers authored by Kimie Sho

Since Specialization
Citations

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

Fields of papers citing papers by Kimie Sho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimie Sho

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 42
2 6
3 49
4 4
5 103
6 56
7 35
8 9
9 49
10 8
11 51
12 39
13 51
14 1
15 24
16 57
17 5
18 2
19 95
20 3

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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