Koichi Maeda

772 total citations
70 papers, 493 citations indexed

About

Koichi Maeda is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Koichi Maeda has authored 70 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cardiology and Cardiovascular Medicine, 44 papers in Epidemiology and 29 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Koichi Maeda's work include Cardiac Valve Diseases and Treatments (44 papers), Infective Endocarditis Diagnosis and Management (39 papers) and Aortic Disease and Treatment Approaches (21 papers). Koichi Maeda is often cited by papers focused on Cardiac Valve Diseases and Treatments (44 papers), Infective Endocarditis Diagnosis and Management (39 papers) and Aortic Disease and Treatment Approaches (21 papers). Koichi Maeda collaborates with scholars based in Japan, United States and Singapore. Koichi Maeda's co-authors include Toru Kuratani, Yoshiki Sawa, Kei Torikai, Kazuo Shimamura, Isamu Mizote, Yasushi Sakata, Yasuhiro Ichibori, Toshinari Onishi, Satoshi Nakatani and Mitsuru Konishi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Cardiology and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Koichi Maeda

58 papers receiving 482 citations

Peers

Koichi Maeda
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 288
  • Epidemiology 210
  • Pulmonary and Respiratory Medicine 163
  • Surgery 135
  • Molecular Biology 65
Replace Shigeru Masuda with:
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Citations per field, relative to Koichi Maeda
Koichi Maeda · 1×
Citations per year, relative to Koichi Maeda
Koichi Maeda · 1×

Countries citing papers authored by Koichi Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Maeda. A scholar is included among the top collaborators of Koichi Maeda 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 Koichi Maeda. Koichi Maeda 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 0
2 1
3 2
4 1
5 4
6 0
7 2
8 9
9 0
10 6
11 7
12 1
13 8
14 6
15 3
16 4
17 49
18
Expression of IL-12 mRNA in peripheral blood mononuclear cells from inoperable non-small cell lung cancer patients treated with clarithromycin.
3
19 0
20 1

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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