Koichi Saruwatari

1.1k total citations
38 papers, 694 citations indexed

About

Koichi Saruwatari is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Koichi Saruwatari has authored 38 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 24 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Koichi Saruwatari's work include Lung Cancer Treatments and Mutations (17 papers), Lung Cancer Research Studies (13 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Koichi Saruwatari is often cited by papers focused on Lung Cancer Treatments and Mutations (17 papers), Lung Cancer Research Studies (13 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Koichi Saruwatari collaborates with scholars based in Japan, United States and United Kingdom. Koichi Saruwatari's co-authors include Yusuke Tomita, Sho Saeki, Takuro Sakagami, Shinya Sakata, Takayuki Jodai, Shinji Iyama, Kimitaka Akaike, Tokunori Ikeda, Ryo Sato and Shiho Ishizuka and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Koichi Saruwatari

32 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koichi Saruwatari Japan 12 342 333 212 110 69 38 694
Taiki Hakozaki Japan 14 574 1.7× 330 1.0× 287 1.4× 82 0.7× 55 0.8× 41 810
Zoltán Lohinai Hungary 16 416 1.2× 353 1.1× 273 1.3× 93 0.8× 103 1.5× 40 760
Luis A. Martinez United States 11 423 1.2× 366 1.1× 205 1.0× 172 1.6× 45 0.7× 17 868
Nikolaos Soulitzis Greece 14 265 0.8× 409 1.2× 216 1.0× 141 1.3× 81 1.2× 28 768
Ryo Sato Japan 11 289 0.8× 283 0.8× 115 0.5× 105 1.0× 26 0.4× 22 572
C. Lisanti Italy 9 312 0.9× 321 1.0× 147 0.7× 185 1.7× 50 0.7× 26 679
Semyon A. Risin United States 9 217 0.6× 203 0.6× 99 0.5× 59 0.5× 55 0.8× 25 564
Stephanie J. Gros Germany 16 362 1.1× 272 0.8× 145 0.7× 96 0.9× 44 0.6× 41 698
Hiroyoshi Maeda Japan 13 383 1.1× 273 0.8× 178 0.8× 105 1.0× 84 1.2× 29 695
Tamio Okimoto Japan 15 168 0.5× 210 0.6× 203 1.0× 98 0.9× 84 1.2× 50 643

Countries citing papers authored by Koichi Saruwatari

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Saruwatari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Saruwatari

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Saruwatari. A scholar is included among the top collaborators of Koichi Saruwatari 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 Koichi Saruwatari. Koichi Saruwatari 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
2.
Saruwatari, Koichi, Takaaki Tokito, Yoshihiko Sakata, et al.. (2025). Impact of durvalumab re-administration after moderate symptomatic pneumonitis in locally advanced non-small cell lung cancer. Lung Cancer. 204. 108578–108578.
3.
Saruwatari, Koichi, Seitaro Oda, Shinya Shiraishi, et al.. (2024). Negative-predictive value of SUVmax for Ascertaining the efficacy of osimertinib in EGFR mutation-positive non-small cell lung cancer. Respiratory Investigation. 62(6). 1072–1078.
4.
Saruwatari, Koichi, Kosuke Fujino, Takayuki Jodai, et al.. (2024). Negative impact of ratio of the microvascular area to tumor area on the response to EGFR-TKI in non-small cell lung cancer with an EGFR mutation. Journal of Thoracic Disease. 16(2). 1151–1160.
5.
7.
Saruwatari, Koichi, et al.. (2022). Successful treatment with dupilumab for mucus plugs in severe asthma. SHILAP Revista de lepidopterología. 11(1). e01074–e01074. 11 indexed citations
8.
Shiraishi, Yoshimasa, Takayuki Shimose, Hidenobu Ishii, et al.. (2022). Forthcoming Phase II Study of Durvalumab (MEDI4736) Plus Chemotherapy for Small Cell Lung Cancer with Brain Metastases. Cancer Management and Research. Volume 14. 3449–3453. 3 indexed citations
9.
Akaike, Kimitaka, Koichi Saruwatari, Kosuke Fujino, et al.. (2022). Clinical impact of SUVmax of interstitial lesions in lung cancer patients with interstitial lung disease who underwent pulmonary resection. Journal of Thoracic Disease. 14(10). 3801–3810. 2 indexed citations
10.
Sakata, Shinya, Shinji Iyama, Kentaro Tokunaga, et al.. (2021). Airway Pseudomonas aeruginosa density in mechanically ventilated patients: clinical impact and relation to therapeutic efficacy of antibiotics. Critical Care. 25(1). 59–59. 7 indexed citations
11.
Tomita, Yusuke, Tokunori Ikeda, Shinya Sakata, et al.. (2020). Association of Probiotic Clostridium butyricum Therapy with Survival and Response to Immune Checkpoint Blockade in Patients with Lung Cancer. Cancer Immunology Research. 8(10). 1236–1242. 161 indexed citations
12.
Jodai, Takayuki, Koichi Saruwatari, Tokunori Ikeda, et al.. (2020). Clinical outcomes and predictive value of programmed cell death-ligand 1 expression in response to anti-programmed cell death 1/ligand 1 antibodies in non-small cell lung cancer patients with performance status 2 or greater. International Journal of Clinical Oncology. 26(1). 78–86. 4 indexed citations
13.
Saruwatari, Koichi, Tokunori Ikeda, Sho Saeki, et al.. (2019). Upfront Cranial Radiotherapy Followed by Erlotinib Positively Affects Clinical Outcomes of Epidermal Growth Factor Receptor-mutant Non-small Cell Lung Cancer With Brain Metastases. Anticancer Research. 39(2). 923–931. 8 indexed citations
15.
Akaike, Kimitaka, Koichi Saruwatari, Hiroko Okabayashi, et al.. (2018). Negative Impact of Coexisting Interstitial Lung Disease on Clinical Outcomes in Small-cell Lung Cancer Patients. Anticancer Research. 38(11). 6543–6550. 3 indexed citations
16.
Ichikawa, Tomohiro, Koichi Saruwatari, Sachiyo Mimaki, et al.. (2017). Immunohistochemical and genetic characteristics of lung cancer mimicking organizing pneumonia. Lung Cancer. 113. 134–139. 4 indexed citations
17.
Goto, Masaki, Masahito Naito, Koichi Saruwatari, et al.. (2016). The ratio of cancer cells to stroma after induction therapy in the treatment of non-small cell lung cancer. Journal of Cancer Research and Clinical Oncology. 143(2). 215–223. 5 indexed citations
19.
Saruwatari, Koichi, Shinnosuke Ikemura, Keigo Sekihara, et al.. (2015). Aggressive tumor microenvironment of solid predominant lung adenocarcinoma subtype harboring with epidermal growth factor receptor mutations. Lung Cancer. 91. 7–14. 32 indexed citations
20.
Sekihara, Keigo, Tomoyuki Hishida, Shinnosuke Ikemura, et al.. (2015). The association of intravascular stromal cells with prognosis in high-grade neuroendocrine carcinoma of the lung. Journal of Cancer Research and Clinical Oncology. 142(5). 905–912. 3 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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