Satoshi Suzuki

3.9k citations
112 papers · 3.1k indexed · h-index 31

Satoshi Suzuki

103 papers receiving 3.1k citations

Peers

Satoshi Suzuki
Comparison fields: 5 of 135
  • Pulmonary and Respiratory Medicine 1.3k
  • Endocrine and Autonomic Systems 235
  • Molecular Biology 1.2k
  • Cancer Research 252
  • Oncology 451
Replace Padmini Sarathchandra with:
Padmini Sarathchandra United Kingdom
Toshio Nakanishi Japan
Shigeki Taniguchi Japan
Hatsue Ishibashi‐Ueda Japan
Klaus‐Michael Müller Germany
Ross Summer United States
Song Rong Germany
J S Brody United States
A. Koneti Rao United States
Magdi H. Yacoub United Kingdom
Satoshi Suzuki relative to Padmini Sarathchandra United Kingdom Padmini Sarathchandra's profile →
Citations per field
00.5×1.5×2.5×
Padmini Sarathchandra · 1×
Citations per year

Countries citing papers authored by Satoshi Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3
Exact matching approach with circuit element ohmic loss
20163
4 201461
5 201214
6 201230
7 201051
8 200990
9 20073
10
Nitroglycerin treatment may increase response to docetaxel and carboplatin regimen via inhibitions of hypoxia-inducible factor-1 pathway and P-glycoprotein in patients with lung adenocarcinoma
20069
11 200619
12 20067
13 20052
14 200315
15 200335
16 200240
17 20019
18 200013
19 1997173
20
[Pleuropneumonectomy with thymectomy for invasive thymoma with pleural disseminations--a case report].
19903

About Satoshi Suzuki

Satoshi Suzuki is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Molecular Biology, having authored 112 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (13 papers), Neonatal Respiratory Health Research (11 papers), Estrogen and related hormone effects (10 papers), Pulmonary Hypertension Research and Treatments (9 papers), Ion channel regulation and function (8 papers), Transplantation: Methods and Outcomes (7 papers), Lung Cancer Treatments and Mutations (7 papers) and Respiratory Support and Mechanisms (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.3k citations), Endocrine and Autonomic Systems (235 citations) and Molecular Biology (1.2k citations). Satoshi Suzuki has collaborated with scholars based in Japan, Canada and Australia. Frequent co-authors include Hironobu Sasano, Takashi Suzuki, Takashi Kondo, Yasuhiro Miki, Masashi Handa, Hiroshi Kubo, Takuya Moriya, Hiromichi Niikawa, H. Sasaki and Hironori Ishibashi.

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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