Ryo Maeda

2.4k citations
138 papers · 1.8k · h-index 25

Impact in

    • Lung Cancer Diagnosis and Treatment
    • Lung Cancer Treatments and Mutations
    • Medical Imaging and Pathology Studies
  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Lung Cancer Research Studies

Papers in

Ryo Maeda

123 papers receiving 1.7k citations

Peers

Ryo Maeda
Comparison fields: 5 of 119
  • Pulmonary and Respiratory Medicine 580
  • Oncology 294
  • Nephrology 67
  • Endocrinology, Diabetes and Metabolism 133
  • Neurology 113
Replace James D. Hoyer with:
James D. Hoyer United States
Takashi Inoue Japan
Shigenobu Suzuki Japan
Ángel Panizo Spain
Thomas Maca Austria
Masayuki Mano Japan
E Justrabo France
Á. Montero Spain
Jun‐Te Hsu Taiwan
L Szczepański Poland
Ryo Maeda relative to James D. Hoyer United States James D. Hoyer's profile →
Citations per field
00.5×2.5×
James D. Hoyer · 1×
Citations per year

Countries citing papers authored by Ryo Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012102
2 200083
3 201576
4 201169
5 200967
6 201060
7 200955
8 201650
9 202048
10 201045
11 201044
12 201043
13 200041
14 201039
15 201839
16 200738
17 201437
18 201030
19 201128
20 201727

About Ryo Maeda

Ryo Maeda is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 138 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (18 papers), Medical Imaging and Pathology Studies (10 papers), Myasthenia Gravis and Thymoma (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Renal Diseases and Glomerulopathies (8 papers), Inflammatory Biomarkers in Disease Prognosis (6 papers), Congenital Diaphragmatic Hernia Studies (6 papers) and Pleural and Pulmonary Diseases (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (580 citations), Oncology (294 citations), Nephrology (67 citations), Endocrinology, Diabetes and Metabolism (133 citations) and Neurology (113 citations). Ryo Maeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kanji Nagai, Junji Yoshida, Mitsuyo Nishimura, Tomoyuki Hishida, Genichiro Ishii, Genichiro Ishii, Chikako Ito, Hideo Sasaki, Noritaka Isowa and Takashi Suda. Their work appears in journals such as Diabetes Research and Clinical Practice, CHEST Journal, Interactive Cardiovascular and Thoracic Surgery, Journal of Thoracic Oncology and World Journal of Oncology.

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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