Suma I. Shimuta

602 citations
34 papers · 479 indexed · h-index 14
Topics
Receptor Mechanisms and Signaling (18 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (15 papers)Renin-Angiotensin System Studies (14 papers)
Partner nations
BrazilGermanyFrance

In The Last Decade

Suma I. Shimuta

34 papers receiving 475 citations

Peers

Suma I. Shimuta
Comparison fields: 5 of 68
  • Molecular Biology 285
  • Cardiology and Cardiovascular Medicine 171
  • Genetics 155
  • Cellular and Molecular Neuroscience 112
  • Endocrinology, Diabetes and Metabolism 70
Replace Renée Larguier with:
Renée Larguier France
J.C. Bonnafous France
Kin M. Choi United States
Rosemary Murray United States
Toyohiko Tohmatsu Japan
Sandrine Nouet France
Marie‐Odile Guimond Canada
Raphaël Rapetti‐Mauss France
Charlene D. McWhinney United States
Joseph L. Balwierczak Switzerland
Suma I. Shimuta relative to Renée Larguier France Renée Larguier's profile →
Citations per field
00.5×10×15×20×24×
Renée Larguier · 1×
Citations per year

Countries citing papers authored by Suma I. Shimuta

Since Specialization
Citations

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

Fields of papers citing papers by Suma I. Shimuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suma I. Shimuta. 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 Suma I. Shimuta. The network helps show where Suma I. Shimuta may publish in the future.

Co-authorship network of co-authors of Suma I. Shimuta

This figure shows the co-authorship network connecting the top 25 collaborators of Suma I. Shimuta. A scholar is included among the top collaborators of Suma I. Shimuta 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 Suma I. Shimuta. Suma I. Shimuta 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 3
2 3
3 2
4 6
5 2
6 2
7 2
8 1
9 73
10 7
11 35
12 12
13 4
14 1
15 14
16 6
17 2
18 16
19 18
20 23

About Suma I. Shimuta

Suma I. Shimuta is a scholar working on Genetics, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 479 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (18 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (15 papers) and Renin-Angiotensin System Studies (14 papers). The work is most often cited by research in Genetics (155 citations), Cardiology and Cardiovascular Medicine (171 citations) and Cellular and Molecular Neuroscience (112 citations). Suma I. Shimuta has collaborated with scholars based in Brazil, Germany and France. Frequent co-authors include Antonio C.M. Paiva, Therezinha B. Paiva, Antonio C.M. Paiva, Laerte Oliveira, Cláudio M. Costa-Neto, Clóvis R. Nakaie, João Bosco Pesquero, Shirley Schreier, Paulo Boschcov and Ana Maria Barbosa. Their work appears in journals such as Physiological Reviews, Diabetes and British Journal of Pharmacology.

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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