Mari Tone

1.1k citations
42 papers · 498 · h-index 13

Impact in

Papers in

    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 13
    • Lung Cancer Treatments and Mutations 7
    • Medical Imaging and Pathology Studies 6
    • Pleural and Pulmonary Diseases 5
    • Lung Cancer Diagnosis and Treatment 5
    • Chronic Obstructive Pulmonary Disease (COPD) Research 5
    • Cancer Immunotherapy and Biomarkers 7

Mari Tone

39 papers receiving 490 citations

Peers

Mari Tone
Comparison fields: 5 of 80
  • Pulmonary and Respiratory Medicine 258
  • Clinical Psychology 87
  • Oncology 113
  • Infectious Diseases 76
  • Neurology 46
Replace Naoyuki Kuse with:
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Mari Tone relative to Naoyuki Kuse Japan Naoyuki Kuse's profile →
Citations per field
00.5×1.5×
Naoyuki Kuse · 1×
Citations per year

Countries citing papers authored by Mari Tone

Since Specialization
Citations

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

Fields of papers citing papers by Mari Tone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202096
2 201958
3 202038
4 201930
5 202123
6 201923
7 202121
8 202120
9 202018
10 202017
11 202016
12 202016
13 202114
14 202012
15 201910
16 20229
17 20178
18 20246
19 20196
20 20205

About Mari Tone

Mari Tone is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Infectious Diseases, Surgery and Immunology, having authored 42 papers that have together received 498 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers), Cancer Immunotherapy and Biomarkers (7 papers), Lung Cancer Treatments and Mutations (7 papers), Medical Imaging and Pathology Studies (6 papers), Pleural and Pulmonary Diseases (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers) and Long-Term Effects of COVID-19 (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (258 citations), Clinical Psychology (87 citations), Oncology (113 citations), Infectious Diseases (76 citations) and Neurology (46 citations). Mari Tone has collaborated with scholars based in Japan. Frequent co-authors include Takehiro Izumo, Nobuyasu Awano, Naoyuki Kuse, Minoru Inomata, Kohei Takada, Tatsunori Jo, Hanako Yoshimura, Yutaka Muto, Kazushi Fujimoto and Yu Akagi. Their work appears in journals such as Japanese Journal of Clinical Oncology, Scientific Reports, Anticancer Research, ERJ Open Research and Respiratory Investigation.

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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