Toru Sawada

741 citations
46 papers · 553 · h-index 13

Impact in

Papers in

    • Lung Cancer Diagnosis and Treatment 7
    • Cerebrovascular and Carotid Artery Diseases 4
    • Pleural and Pulmonary Diseases 3
    • Medical Imaging and Pathology Studies 3
    • Myasthenia Gravis and Thymoma 5
    • Traumatic Brain Injury and Neurovascular Disturbances 3

Toru Sawada

43 papers receiving 531 citations

Peers

Toru Sawada
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 108
  • Internal Medicine 24
  • Immunology 116
  • Pulmonary and Respiratory Medicine 128
  • Neurology 57
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Citations per field
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Citations per year

Countries citing papers authored by Toru Sawada

Since Specialization
Citations

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

Fields of papers citing papers by Toru Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999153
2 199346
3 200238
4 201936
5 199030
6 201127
7 199226
8 201925
9 201915
10
Classification of Listeria monocytogenes by PCR-restriction enzyme analysis in the two genes of hlyA and iap.
199815
11 198514
12 199914
13 198613
14 20169
15 20119
16 20218
17 20177
18
[Monitoring system of cerebral blood flow and cerebral metabolism. Part II. Relationship between internal jugular O2 tention and cerebral blood flow (author's transl)].
19827
19 19996
20 20075

About Toru Sawada

Toru Sawada is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 46 papers that have together received 553 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (7 papers), Myasthenia Gravis and Thymoma (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Pleural and Pulmonary Diseases (3 papers), Medical Imaging and Pathology Studies (3 papers), Acute Ischemic Stroke Management (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (108 citations), Internal Medicine (24 citations), Immunology (116 citations), Pulmonary and Respiratory Medicine (128 citations) and Neurology (57 citations). Toru Sawada has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Takeshi Kubo, Shiro Akahani, Avraham Raz, Junichi Yoshida, Tadashi Yoshii, Shigeru Okamoto, Kenji Hattori, Hidenori Inohara, Yuichiro Honjo and Takenori Yamaguchi. Their work appears in journals such as Journal of Thoracic Oncology, Stroke, Cancer, The Journal of Medical Investigation and Neurologia medico-chirurgica.

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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