Jun Osugi

636 citations
31 papers · 412 · h-index 11

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer, Hypoxia, and Metabolism

Papers in

Jun Osugi

23 papers receiving 409 citations

Peers

Jun Osugi
Comparison fields: 5 of 58
  • Oncology 209
  • Cancer Research 110
  • Immunology 131
  • Pulmonary and Respiratory Medicine 104
  • Molecular Biology 164
Replace Mitsuro Fukuhara with:
Mitsuro Fukuhara Japan
Mika Hoshino Japan
Louqian Zhang China
De Sen Wan China
Takako Nirei Japan
Atsushi Mitsuhashi Japan
Pan Chen China
Shaochuan Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Jun Osugi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Osugi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201366
2 201553
3 201442
4 201641
5 201540
6 201532
7 202125
8 201519
9 201718
10 201811
11 201711
12 201610
13 20179
14 20138
15 20207
16 20186
17 20165
18 20173
19
[Monitoring Tumor Infiltrating Lymphocytes by Peripheral Blood in Lung Cancer Patients].
20202
20 20211

About Jun Osugi

Jun Osugi is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Surgery, having authored 31 papers that have together received 412 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Lung Cancer Research Studies (6 papers), Immune Cell Function and Interaction (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Immunotherapy and Immune Responses (5 papers), Myasthenia Gravis and Thymoma (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Oncology (209 citations), Cancer Research (110 citations), Immunology (131 citations), Pulmonary and Respiratory Medicine (104 citations) and Molecular Biology (164 citations). Jun Osugi has collaborated with scholars based in Japan. Frequent co-authors include Satoshi Muto, Takumi Yamaura, Naoyuki Okabe, Mitsunori Higuchi, Mika Hoshino, Yuki Matsumura, Hiroyuki Suzuki, Takeo Hasegawa, Mitsukazu Gotoh and Mitsukazu Gotoh. Their work appears in journals such as Interactive Cardiovascular and Thoracic Surgery, Anticancer Research, Cancer Immunology Immunotherapy, International Journal of Oncology and Journal of Translational Medicine.

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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