Makiko Suzuki

2.0k citations
63 papers · 1.5k indexed · 1 hit paper · h-index 15
Topics
Cardiovascular Function and Risk Factors (15 papers)Cardiac Imaging and Diagnostics (8 papers)Soft Robotics and Applications (7 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Makiko Suzuki

57 papers receiving 1.5k citations

Hit Papers

A new form of amyloid protein associated with chronic hem...19852026199820121985200400600

Peers

Makiko Suzuki
Comparison fields: 5 of 128
  • Molecular Biology 724
  • Physiology 440
  • Nephrology 200
  • Oncology 152
  • Surgery 137
Replace Kenji Nakayama with:
Kenji Nakayama Japan
Maritza J. Romero United States
Michelle C. McDonald United Kingdom
David Montaigne France
Seth Hallström Austria
Ashley Hale United Kingdom
Xiuli Zhang China
Maura Brioschi Italy
Sohji Nagase Japan
Makiko Suzuki relative to Kenji Nakayama Japan Kenji Nakayama's profile →
Citations per field
00.5×1.5×1.9×
Kenji Nakayama · 1×
Citations per year

Countries citing papers authored by Makiko Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Makiko Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makiko Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Makiko Suzuki. A scholar is included among the top collaborators of Makiko Suzuki 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 Makiko Suzuki. Makiko Suzuki 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 0
2 2
3 0
4 1
5 7
6 1
7 1
8 56
9 4
10 7
11 29
12 0
13 5
14 11
15 10
16 3
17 18
18 11
19 8
20 39

About Makiko Suzuki

Makiko Suzuki is a scholar working on Immunology and Allergy, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (15 papers), Cardiac Imaging and Diagnostics (8 papers) and Soft Robotics and Applications (7 papers). The work is most often cited by research in Nephrology (200 citations), Physiology (440 citations) and Clinical Biochemistry (72 citations). Makiko Suzuki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tadayoshi Kunitomo, F Gejyo, Takao Yamada, Hiroaki Kataoka, Yoichi Nakagawa, Masaaki Arakawa, Yoshihei Hirasawa, Alan S. Cohen, Kurt Werner Schmid and Sumiko Odani. Their work appears in journals such as Journal of Neuroscience, Journal of the American College of Cardiology and PLoS ONE.

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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