N Masuda

3.5k citations
80 papers · 2.9k · h-index 29

Impact in

  • Oncology top 1%
    • Lung Cancer Research Studies
    • Neutropenia and Cancer Infections
    • Drug Transport and Resistance Mechanisms
    • Cancer Treatment and Pharmacology
  • Toxicology top 2%

Papers in

    • Lung Cancer Research Studies 31
    • Cancer Treatment and Pharmacology 8
    • Neutropenia and Cancer Infections 6
    • Cancer therapeutics and mechanisms 16

N Masuda

73 papers receiving 2.7k citations

Peers

N Masuda
Comparison fields: 5 of 114
  • Oncology 1.5k
  • Toxicology 111
  • Pulmonary and Respiratory Medicine 606
  • Molecular Biology 1.4k
  • Periodontics 51
Replace Yoshinori Yamashita with:
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Marco A. De Velasco Japan
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Johan W. Smit Netherlands
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N Masuda relative to Yoshinori Yamashita Japan Yoshinori Yamashita's profile →
Citations per field
00.5×3.6×
Yoshinori Yamashita · 1×
Citations per year

Countries citing papers authored by N Masuda

Since Specialization
Citations

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

Fields of papers citing papers by N Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992380
2 1992374
3 1991243
4 1992130
5 2003121
6 1998106
7 198194
8 199384
9 199477
10 198174
11 199568
12 199465
13 199161
14 199860
15 197557
16 199654
17 199452
18 198152
19
Involvement of hydrogen peroxide production in erbstatin-induced apoptosis in human small cell lung carcinoma cells.
199652
20 200948

About N Masuda

N Masuda is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Cancer Research, having authored 80 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (31 papers), Lung Cancer Treatments and Mutations (19 papers), Cancer therapeutics and mechanisms (16 papers), Lung Cancer Diagnosis and Treatment (9 papers), Breast Cancer Treatment Studies (8 papers), Cancer Treatment and Pharmacology (8 papers), Neuroendocrine Tumor Research Advances (7 papers) and Neutropenia and Cancer Infections (6 papers). The work is most often cited by research in Oncology (1.5k citations), Toxicology (111 citations), Pulmonary and Respiratory Medicine (606 citations), Molecular Biology (1.4k citations) and Periodontics (51 citations). N Masuda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shuichiro Hirano, M. Fukuoka, Kunihiko Matsui, Shunichi Negoro, Nobuhide Takifuji, H Niitani, Kazuhiko Nakagawa, M Takada, S. Kudoh and Y Kusunoki. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Cancer, Applied and Environmental Microbiology, Annals of Oncology and Lung Cancer.

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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