Jun Atsumi

511 citations
30 papers · 355 · h-index 10

Impact in

Papers in

Jun Atsumi

28 papers receiving 351 citations

Peers

Jun Atsumi
Comparison fields: 5 of 53
  • Pulmonary and Respiratory Medicine 157
  • Oncology 127
  • Anesthesiology and Pain Medicine 24
  • Biochemistry 23
  • Cancer Research 44
Replace Matthanja Bieze with:
Matthanja Bieze Netherlands
Satomi Iwai Japan
EeeLN H. Buckarma United States
Senlin Zhu China
Masanori Kikui Japan
Justin A. Drake United States
Ioanna Tiniakou United States
Joel Gingerich Canada
Hirotaka Ishida Japan
Zubin Yu China
Jun Atsumi relative to Matthanja Bieze Netherlands Matthanja Bieze's profile →
Citations per field
00.5×
Matthanja Bieze · 1×
Citations per year

Countries citing papers authored by Jun Atsumi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Atsumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201872
2 201234
3 201033
4 201831
5
Clinical significance of coexpression of L-type amino acid transporter 1 (LAT1) and ASC amino acid transporter 2 (ASCT2) in lung adenocarcinoma.
201530
6
Prognostic significance of PD-L1 expression and tumor infiltrating lymphocytes in large cell neuroendocrine carcinoma of lung.
201827
7 201117
8 201313
9 202313
10 20149
11 20209
12 20158
13 20177
14 20157
15 20216
16 20126
17 20135
18 20124
19 20164
20 20123

About Jun Atsumi

Jun Atsumi is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Epidemiology and Molecular Biology, having authored 30 papers that have together received 355 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Diagnosis and Treatment (6 papers), Pleural and Pulmonary Diseases (4 papers), Mycobacterium research and diagnosis (4 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Infectious Diseases and Mycology (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (157 citations), Oncology (127 citations), Anesthesiology and Pain Medicine (24 citations), Biochemistry (23 citations) and Cancer Research (44 citations). Jun Atsumi has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Kimihiro Shimizu, Toshiteru Nagashima, Kyoichi Kaira, Yoichi Ohtaki, Mitsuhiro Kamiyoshihara, Takashi Ibe, Izumi Takeyoshi, Takayuki Kosaka, Akira Mogi and Toshiki Yajima. Their work appears in journals such as The Annals of Thoracic Surgery, Modern Rheumatology, Oncology Reports, PLoS ONE and Journal of Thoracic Oncology.

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.

Explore authors with similar magnitude of impact