Sumiko Maeda

1.0k citations
76 papers · 787 · h-index 14

Impact in

Papers in

    • Lung Cancer Diagnosis and Treatment 14
    • Pleural and Pulmonary Diseases 13
    • Tracheal and airway disorders 6
    • Lung Cancer Treatments and Mutations 5
    • Transplantation: Methods and Outcomes 9
    • Congenital Diaphragmatic Hernia Studies 5

Sumiko Maeda

66 papers receiving 763 citations

Peers

Sumiko Maeda
Comparison fields: 5 of 76
  • Pulmonary and Respiratory Medicine 297
  • Anesthesiology and Pain Medicine 44
  • Endocrine and Autonomic Systems 32
  • Biochemistry 36
  • Surgery 184
Replace Tatsuo Tanita with:
Tatsuo Tanita Japan
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Philipp Attanasio Germany
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Citations per year

Countries citing papers authored by Sumiko Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Sumiko Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sumiko 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 Sumiko Maeda Line = papers co-authored together Sumiko Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200279
2 201154
3 200247
4 200646
5 201438
6 200336
7 201629
8 201828
9 201727
10 201025
11 201520
12
Diagnostic Performance of Whole-Body Diffusion-Weighted Imaging Compared to PET-CT Plus Brain MRI in Staging Clinically Resectable Lung Cancer.
201619
13 199015
14 202014
15 201514
16 200614
17 201614
18 201414
19 201113
20
An experience with the modified total pleural covering technique in a patient with bilateral intractable pneumothorax secondary to lymphangioleiomyomatosis.
201012

About Sumiko Maeda

Sumiko Maeda is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Oncology and Genetics, having authored 76 papers that have together received 787 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (14 papers), Pleural and Pulmonary Diseases (13 papers), Transplantation: Methods and Outcomes (9 papers), Tracheal and airway disorders (6 papers), Congenital Diaphragmatic Hernia Studies (5 papers), Lung Cancer Treatments and Mutations (5 papers), MRI in cancer diagnosis (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (297 citations), Anesthesiology and Pain Medicine (44 citations), Endocrine and Autonomic Systems (32 citations), Biochemistry (36 citations) and Surgery (184 citations). Sumiko Maeda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Masayuki Chida, Takashi Kondo, Yoshinori Okada, Masafumi Noda, Motoyasu Sagawa, Tetsu Sado, Yoko Karube, Makoto Sugita, Tsutomu Sakuma and Akira Sakurada. Their work appears in journals such as Surgery Today, Journal of Thoracic and Cardiovascular Surgery, World Journal of Surgery, Scientific Reports and Physiologia Plantarum.

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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