Yuji Nojima

646 total citations
26 papers, 506 citations indexed

About

Yuji Nojima is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Immunology. According to data from OpenAlex, Yuji Nojima has authored 26 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 15 papers in Oncology and 6 papers in Immunology. Recurrent topics in Yuji Nojima's work include Lung Cancer Treatments and Mutations (9 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Yuji Nojima is often cited by papers focused on Lung Cancer Treatments and Mutations (9 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Yuji Nojima collaborates with scholars based in Japan. Yuji Nojima's co-authors include Katsuhiko Shimizu, Shinsuke Saisho, Masao Nakata, Riki Okita, Ai Maeda, Takuro Yukawa, Koreaki Mori, Masato Seike, Takahisa Mori and K. Kazita and has published in prestigious journals such as Journal of neurosurgery, Annals of Oncology and Oncotarget.

In The Last Decade

Yuji Nojima

26 papers receiving 498 citations

Peers

Yuji Nojima
Sara Junius Belgium
Toshiaki Iwase United States
Philippe Huget Belgium
Nick B. Tsavaris Greece
Simone Scagnoli Italy
Debayan Mukherjee United Kingdom
Yasuhiko Ohshio Japan
Diana M. Lawrence United States
Kang Wang China
Sara Junius Belgium
Yuji Nojima
Citations per year, relative to Yuji Nojima Yuji Nojima (= 1×) peers Sara Junius

Countries citing papers authored by Yuji Nojima

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Nojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Nojima

This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Nojima. A scholar is included among the top collaborators of Yuji Nojima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuji Nojima. Yuji Nojima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nojima, Yuji, Katsuhiko Shimizu, Shinsuke Saisho, et al.. (2021). Tumor PD-L1 and VEGF Expression, and CD8 T Cell Infiltration Predict Clinical Response to Immune Checkpoint Inhibitors in Non-small Cell Lung Cancer. Anticancer Research. 41(11). 5469–5475. 4 indexed citations
2.
Shimizu, Katsuhiko, Riki Okita, Shinsuke Saisho, et al.. (2019). <p>Comparative study of the PD-L1 expression and CD8+ tumor-infiltrating lymphocyte between surgically resected and matched re-biopsy specimens in recurrent non-small cell lung cancer</p>. Therapeutics and Clinical Risk Management. Volume 15. 605–612. 2 indexed citations
3.
4.
Nojima, Yuji, et al.. (2018). P2.16-36 Adjuvant Chemotherapy is Effective for Completely Resected Stage IB Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 13(10). S845–S846. 1 indexed citations
5.
Shimizu, Katsuhiko, Riki Okita, Shinsuke Saisho, et al.. (2018). Impact of COX2 Inhibitor for Regulation of PD-L1 Expression in Non-small Cell Lung Cancer. Anticancer Research. 38(8). 4637–4644. 25 indexed citations
6.
Okita, Riki, Yuji Nojima, Shinsuke Saisho, et al.. (2018). Deciduoid type malignant pleural mesothelioma: a case report. AME Case Reports. 2. 43–43. 2 indexed citations
7.
Shimizu, Katsuhiko, Riki Okita, Shinsuke Saisho, et al.. (2017). Prognostic value of Cox-2 and PD-L1 expression and its relationship with tumor-infiltrating lymphocytes in resected lung adenocarcinoma. Cancer Management and Research. Volume 9. 741–750. 17 indexed citations
8.
Shimizu, Katsuhiko, Riki Okita, Shinsuke Saisho, et al.. (2017). Urinary levels of prostaglandin E2 are positively correlated with intratumoral infiltration of Foxp3+ regulatory T cells in non-small cell lung cancer. Oncology Letters. 14(2). 1615–1620. 6 indexed citations
9.
Okita, Riki, Ai Maeda, Katsuhiko Shimizu, et al.. (2017). PD-L1 overexpression is partially regulated by EGFR/HER2 signaling and associated with poor prognosis in patients with non-small-cell lung cancer. Cancer Immunology Immunotherapy. 66(7). 865–876. 118 indexed citations
10.
11.
Okita, Riki, Takuro Yukawa, Yuji Nojima, et al.. (2016). MHC class I chain-related molecule A and B expression is upregulated by cisplatin and associated with good prognosis in patients with non-small cell lung cancer. Cancer Immunology Immunotherapy. 65(5). 499–509. 54 indexed citations
12.
Shimizu, Katsuhiko, Riki Okita, Shinsuke Saisho, et al.. (2016). Clinicopathological and immunohistochemical features of lung invasive mucinous adenocarcinoma based on computed tomography findings. OncoTargets and Therapy. Volume 10. 153–163. 29 indexed citations
13.
Shimizu, Katsuhiko, Takuro Yukawa, Riki Okita, et al.. (2015). Cyclooxygenase-2 expression is a prognostic biomarker for non-small cell lung cancer patients treated with adjuvant platinum-based chemotherapy. World Journal of Surgical Oncology. 13(1). 21–21. 16 indexed citations
14.
Shimizu, Katsuhiko, Riki Okita, Shinsuke Saisho, et al.. (2015). Prognostic nutritional index before adjuvant chemotherapy predicts chemotherapy compliance and survival among patients with non-small-cell lung cancer. Therapeutics and Clinical Risk Management. 11. 1555–1555. 21 indexed citations
15.
Okita, Riki, Katsuhiko Shimizu, Yuji Nojima, et al.. (2015). Lapatinib enhances trastuzumab-mediated antibody-dependent cellular cytotoxicity via upregulation of HER2 in malignant mesothelioma cells. Oncology Reports. 34(6). 2864–2870. 22 indexed citations
16.
Shimizu, Katsuhiko, Riki Okita, Shinsuke Saisho, et al.. (2015). Clinical significance of dual-time-point 18F-FDG PET imaging in resectable non-small cell lung cancer. Annals of Nuclear Medicine. 29(10). 854–860. 24 indexed citations
17.
Shimizu, Katsuhiko, Riki Okita, Shinsuke Saisho, et al.. (2015). Preoperative neutrophil/lymphocyte ratio and prognostic nutritional index predict survival in patients with non-small cell lung cancer. World Journal of Surgical Oncology. 13(1). 291–291. 84 indexed citations
18.
Shimizu, Katsuhiko, Ai Maeda, Takuro Yukawa, et al.. (2014). Difference in prognostic values of maximal standardized uptake value on fluorodeoxyglucose-positron emission tomography and cyclooxygenase-2 expression between lung adenocarcinoma and squamous cell carcinoma. World Journal of Surgical Oncology. 12(1). 343–343. 12 indexed citations
19.
Mori, Takahisa, K. Kazita, Masato Seike, Yuji Nojima, & Koreaki Mori. (1999). Successful cerebral artery stent placement for total occlusion of the vertebrobasilar artery in a patient suffering from acute stroke. Journal of neurosurgery. 90(5). 955–958. 21 indexed citations
20.
Nojima, Yuji, et al.. (1998). Neuroepithelial and ependymal changes in HTX rats with congenital hydrocephalus: An ultrastructural and immunohistochemical study. Pathology International. 48(2). 115–125. 13 indexed citations

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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