M Maeda

29 papers receiving 334 citations

Peers

M Maeda
Comparison fields: 5 of 79
  • Endocrine and Autonomic Systems 30
  • Renewable Energy, Sustainability and the Environment 56
  • Hepatology 27
  • Dermatology 20
  • Pathology and Forensic Medicine 40
Replace Rebecca E. Day with:
Rebecca E. Day United Kingdom
Makiko Miyamoto Japan
Changmin Wang China
Laura Newman United States
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Po‐Ting Yeh Taiwan
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Citations per year

Countries citing papers authored by M Maeda

Since Specialization
Citations

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

Fields of papers citing papers by M Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside M Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Maeda Line = papers co-authored together M Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20220
2 20211
3 20211
4 20210
5 20207
6 20109
7 20092
8 20047
9 20020
10
Hemorrhagic patterns in the cuticles distal to the proximal nailfolds of the fingers of patients with systemic scleroderma
20002
11 19978
12 199614
13
[An operative case of bilateral partial anomalous pulmonary venous return using a direct anastomosis between the right atrial appendage and the superior vena cava].
19960
14 19941
15 199319
16 198912
17
[Recent progress on analysis of blood coagulation factors and fibrinolytic agents; FDP D dimer analysis using NANOPIA FDP].
19891
18 19885
19
[Echocardiographic findings in a case of Fabry's disease with aortic regurgitation and complete AV block, and in his family members].
19884
20
[Pathological studies of "hyperplasia of mediastinal lymph node (Castleman)"].
19681

About M Maeda

M Maeda is a scholar working on Hepatology, Sensory Systems, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 33 papers that have together received 343 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Cardiac Imaging and Diagnostics (4 papers), Dermatological and Skeletal Disorders (3 papers), Congenital Heart Disease Studies (3 papers), Protist diversity and phylogeny (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and Vascular anomalies and interventions (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (30 citations), Renewable Energy, Sustainability and the Environment (56 citations), Hepatology (27 citations), Dermatology (20 citations) and Pathology and Forensic Medicine (40 citations). M Maeda has collaborated with scholars based in Japan and United States. Frequent co-authors include Guy A. Thompson, K J Einspahr, Yuichi Matsui, M. Nakai, Jun Ogata, Kinya Tamaki, S. Mori, Yasuyuki Nomura, K Nanjo and Hidenori Watabe. Their work appears in journals such as The Journal of Cell Biology, IEEE Transactions on Magnetics, European Journal of Dermatology, Clinical Radiology and Journal of the American Heart Association.

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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