Shoji Kagami

8.3k citations
206 papers · 5.9k indexed · 1 hit paper · h-index 38
Topics
Renal Diseases and Glomerulopathies (36 papers)Congenital Heart Disease Studies (28 papers)Cell Adhesion Molecules Research (23 papers)

In The Last Decade

Shoji Kagami

201 papers receiving 5.8k citations

Hit Papers

Angiotensin II stimulates extracellular matrix protein sy...19942026200420151994250500750

Peers

Shoji Kagami
Comparison fields: 5 of 136
  • Molecular Biology 1.8k
  • Cardiology and Cardiovascular Medicine 1.2k
  • Nephrology 1.2k
  • Immunology 1.1k
  • Endocrinology, Diabetes and Metabolism 781
Replace R. Bernd Sterzel with:
R. Bernd Sterzel Germany
Michael T. Crow United States
Barbara J. Ballermann United States
Takao Masaki Japan
Mario Serio Italy
Masafumi Matsuo Japan
Yuqing Huo United States
Etsuro Ogata Japan
Eliécer Coto Spain
Yoshio Terada Japan
Shoji Kagami relative to R. Bernd Sterzel Germany R. Bernd Sterzel's profile →
Citations per field
00.5×6.7×
R. Bernd Sterzel · 1×
Citations per year

Countries citing papers authored by Shoji Kagami

Since Specialization
Citations

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

Fields of papers citing papers by Shoji Kagami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoji Kagami

This figure shows the co-authorship network connecting the top 25 collaborators of Shoji Kagami. A scholar is included among the top collaborators of Shoji Kagami 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 Shoji Kagami. Shoji Kagami 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
#WorkIndexed citations
1 5
2 11
3 16
4 14
5 0
6
[Diagnostic criteria of atypical hemolytic uremic syndrome].
3
7 40
8 6
9 11
10 22
11
0
12 7
13 275
14 53
15 114
16 62
17 12
18 0
19
Effect of angiotensin II on the expression of plasminogen activator inhibitor -1 in rat mesangial cells
5
20 0

About Shoji Kagami

Shoji Kagami is a scholar working on Nephrology, Immunology and Allergy and Cardiology and Cardiovascular Medicine, having authored 206 papers that have together received 5.9k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (36 papers), Congenital Heart Disease Studies (28 papers) and Cell Adhesion Molecules Research (23 papers). The work is most often cited by research in Nephrology (1.2k citations), Immunology and Allergy (472 citations) and Cardiology and Cardiovascular Medicine (1.2k citations). Shoji Kagami has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Wayne A. Border, Nancy A. Noble, Diane E. Miller, Maki Urushihara, Shuji Kondo, Yasuhiro Kuroda, Koji Yasutomo, Masanori Yoshizumi, Kenji Mori and Toshiaki Tamaki. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.

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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