Rie Sakakibara

782 total citations
27 papers, 528 citations indexed

About

Rie Sakakibara is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Rie Sakakibara has authored 27 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 16 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Rie Sakakibara's work include Lung Cancer Treatments and Mutations (14 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). Rie Sakakibara is often cited by papers focused on Lung Cancer Treatments and Mutations (14 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). Rie Sakakibara collaborates with scholars based in Japan, India and Germany. Rie Sakakibara's co-authors include Yuichi Ishikawa, Hironori Ninomiya, Sakae Okumura, Kentaro Inamura, Maki Kobayashi, Yusuke Yokouchi, Hiroko Nagano, Kimie Nomura, Makoto Nishio and Tomoko Shibutani and has published in prestigious journals such as The American Journal of Surgical Pathology, Oncotarget and Modern Pathology.

In The Last Decade

Rie Sakakibara

21 papers receiving 523 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rie Sakakibara Japan 10 376 264 115 114 67 27 528
Elisa Andrini Italy 11 287 0.8× 175 0.7× 102 0.9× 114 1.0× 63 0.9× 36 412
Jinluan Li China 14 361 1.0× 213 0.8× 76 0.7× 65 0.6× 89 1.3× 43 516
Jun Chul Chung South Korea 13 294 0.8× 183 0.7× 98 0.9× 64 0.6× 47 0.7× 32 545
Taisuke Tsuji Japan 11 240 0.6× 227 0.9× 73 0.6× 85 0.7× 28 0.4× 41 488
Kristin Kathleen Ancell United States 10 540 1.4× 155 0.6× 50 0.4× 98 0.9× 30 0.4× 16 653
Anika E. Adeni United States 10 560 1.5× 249 0.9× 52 0.5× 45 0.4× 37 0.6× 19 635
Alessandra Anna Prete Italy 9 388 1.0× 158 0.6× 42 0.4× 66 0.6× 144 2.1× 27 497
Noëlle Weingertner France 13 150 0.4× 192 0.7× 55 0.5× 94 0.8× 53 0.8× 42 400
Joanna Huszno Poland 11 193 0.5× 146 0.6× 40 0.3× 131 1.1× 102 1.5× 37 425
Hans‐Peter Allgaier Germany 13 204 0.5× 177 0.7× 146 1.3× 89 0.8× 51 0.8× 30 604

Countries citing papers authored by Rie Sakakibara

Since Specialization
Citations

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

Fields of papers citing papers by Rie Sakakibara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rie Sakakibara

This figure shows the co-authorship network connecting the top 25 collaborators of Rie Sakakibara. A scholar is included among the top collaborators of Rie Sakakibara 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 Rie Sakakibara. Rie Sakakibara 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.
Honda, Takayuki, Iichiroh Onishi, Naoki Nishiyama, et al.. (2024). A strong association between TTF-1 expression and interstitial lung disease in predicting the efficacy of PD-1 inhibitor for nonsquamous NSCLC patients. ERJ Open Research. 11(1). 628–2024.
2.
Kurihara, Yasuyuki, Takayuki Honda, Satoshi Endo, et al.. (2024). Immunohistochemistry of p53 surrogates TP53 mutation as an accurate predictor for early-relapse of surgically resected stage I-III lung adenocarcinoma. JTCVS Open. 20. 183–193. 1 indexed citations
3.
Yamaguchi, Tetsuo, S. Mikoshiba, Kazuaki Sato, et al.. (2024). Relapsing bronchopneumonia due to community-associated methicillin-resistant Staphylococcus aureus: a case report. BMC Infectious Diseases. 24(1). 374–374. 1 indexed citations
4.
Tateishi, Tomoya, Rie Sakakibara, Sho Shibata, et al.. (2023). COVID-19 Pneumonia Followed by Anti-signal Recognition Particle Antibody-positive Fibrosing Interstitial Lung Disease. Internal Medicine. 62(9). 1323–1328.
5.
Maruyama, Soichi, Haruhiko Furusawa, Satoshi Endo, et al.. (2023). Pulmonary Artery Aneurysm in a Patient with Nontuberculous Mycobacteria Infection. Internal Medicine. 63(7). 989–992. 1 indexed citations
6.
Aoki, Hikaru, Yasunari Miyazaki, Kota Yokoyama, et al.. (2023). Deep convolutional neural network for differentiating between sarcoidosis and lymphoma based on [18F]FDG maximum-intensity projection images. European Radiology. 34(1). 374–383. 9 indexed citations
7.
Honda, Takayuki, Satoshi Endo, Kousuke Tanimoto, et al.. (2023). The possibility of mutations of RAS signaling genes and/or TP53 in combination as a negative prognostic impact on pathological stage I non‐small cell lung cancer. Cancer Medicine. 12(19). 19406–19413. 6 indexed citations
8.
Sakakibara, Rie, Takayuki Honda, Sho Shibata, et al.. (2023). Tolerability of sotorasib for KRAS positive lung adenocarcinoma patient with pre-existing interstitial pneumonia; A case report. Respiratory Medicine Case Reports. 46. 101929–101929.
9.
Sakashita, Hiroyuki, Ken Uchibori, Toshiharu Tsutsui, et al.. (2022). A phase II feasibility study of carboplatin and nab‐paclitaxel for advanced non‐small cell lung cancer patients with interstitial lung disease (YLOG0114). Thoracic Cancer. 13(9). 1267–1275. 3 indexed citations
10.
Endo, Satoshi, et al.. (2022). Profile of metastatic lung cancer patients susceptible to development of thromboembolism during immunotherapy. Cancer Treatment and Research Communications. 31. 100547–100547. 2 indexed citations
11.
Okamoto, Tsukasa, Rie Sakakibara, Takayuki Honda, et al.. (2021). Predictors associated with clinical improvement of SARS-CoV-2 pneumonia. Journal of Infection and Chemotherapy. 27(6). 857–863.
12.
Sakakibara, Rie, et al.. (2021). Exploratory Factors Relevant to the Success of the Oncomine™ Dx Target Test<sup>®</sup>. Haigan. 61(7). 932–938. 1 indexed citations
13.
Okamoto, Tsukasa, Rie Sakakibara, Takayuki Honda, et al.. (2020). MuLBSTA score is a useful tool for predicting COVID-19 disease behavior. Journal of Infection and Chemotherapy. 27(2). 284–290. 9 indexed citations
14.
Ando, Takahiro, Naoki Nishiyama, Takayuki Honda, et al.. (2020). Optimization of Both the Diagnosis and Therapeutic Strategy Using Panel Testing for a Case of Pleural Metastasis of Sinus Carcinoma. Haigan. 60(4). 364–370.
15.
Nishikawa, Shingo, Rie Sakakibara, Ryo Ariyasu, et al.. (2018). EGFR T790M mutation after chemotherapy for small cell lung cancer transformation of EGFR-positive non-small cell lung cancer. Respiratory Medicine Case Reports. 24. 19–21. 12 indexed citations
16.
17.
Inamura, Kentaro, Yusuke Yokouchi, Maki Kobayashi, et al.. (2017). Association of tumor TROP2 expression with prognosis varies among lung cancer subtypes. Oncotarget. 8(17). 28725–28735. 78 indexed citations
18.
Sakakibara, Rie, Kentaro Inamura, Yuichi Tambo, et al.. (2016). EBUS-TBNA as a Promising Method for the Evaluation of Tumor PD-L1 Expression in Lung Cancer. Clinical Lung Cancer. 18(5). 527–534.e1. 108 indexed citations
19.
Inamura, Kentaro, Yusuke Yokouchi, Maki Kobayashi, et al.. (2016). Tumor B7-H3 (CD276) expression and smoking history in relation to lung adenocarcinoma prognosis. Lung Cancer. 103. 44–51. 77 indexed citations
20.
Inamura, Kentaro, Yusuke Yokouchi, Rie Sakakibara, et al.. (2016). Relationship of tumor PD-L1 expression withEGFRwild-type status and poor prognosis in lung adenocarcinoma. Japanese Journal of Clinical Oncology. 46(10). 935–941. 48 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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