Kunitoshi Tomii

845 total citations
7 papers, 658 citations indexed

About

Kunitoshi Tomii is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Kunitoshi Tomii has authored 7 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Kunitoshi Tomii's work include Lung Cancer Treatments and Mutations (5 papers), Colorectal Cancer Treatments and Studies (3 papers) and Lung Cancer Research Studies (3 papers). Kunitoshi Tomii is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Colorectal Cancer Treatments and Studies (3 papers) and Lung Cancer Research Studies (3 papers). Kunitoshi Tomii collaborates with scholars based in Japan and United States. Kunitoshi Tomii's co-authors include Shinichi Toyooka, Nobuyoshi Shimizu, Hiroshi Date, Motoi Aoe, Hisayuki Shigematsu, Kazunori Tsukuda, Masaki Tokumo, Adi F. Gazdar, Masaaki Yano and Mitsune Tanimoto and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Kunitoshi Tomii

6 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kunitoshi Tomii Japan	4	480	389	269	150	42	7	658
R. McCormack United Kingdom	7	396 0.8×	285 0.7×	120 0.4×	213 1.4×	32 0.8×	10	500
Hironobu Iijima Japan	12	325 0.7×	311 0.8×	253 0.9×	86 0.6×	35 0.8×	19	572
Alberto Cambieri Italy	6	512 1.1×	470 1.2×	336 1.2×	195 1.3×	75 1.8×	6	790
Amanda C. Pawlak United States	4	423 0.9×	339 0.9×	180 0.7×	144 1.0×	53 1.3×	5	576
F.P. Fonseca Brazil	7	417 0.9×	117 0.3×	285 1.1×	230 1.5×	67 1.6×	11	559
Annamaria Siggillino Italy	13	324 0.7×	256 0.7×	274 1.0×	138 0.9×	31 0.7×	24	514
Laura Schubert United States	6	282 0.6×	199 0.5×	198 0.7×	156 1.0×	15 0.4×	13	397
Wee-Lee Yeo Singapore	7	507 1.1×	494 1.3×	223 0.8×	76 0.5×	21 0.5×	11	657
Eamon M. Berge United States	8	425 0.9×	303 0.8×	231 0.9×	141 0.9×	35 0.8×	14	540
Chiara Bennati Italy	13	502 1.0×	406 1.0×	180 0.7×	158 1.1×	35 0.8×	40	632

Countries citing papers authored by Kunitoshi Tomii

Since Specialization

Citations

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

Fields of papers citing papers by Kunitoshi Tomii

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunitoshi Tomii

This figure shows the co-authorship network connecting the top 25 collaborators of Kunitoshi Tomii. A scholar is included among the top collaborators of Kunitoshi Tomii 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 Kunitoshi Tomii. Kunitoshi Tomii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Hata, Aaron N., Nobuyuki Katakami, Kei Kunimasa, et al.. (2011). How sensitive are epidermal growth factor receptor tyrosine kinase inhibitors for squamous cell carcinoma of the lung harboring epidermal growth factor receptor gene–sensitive mutations?. Journal of Clinical Oncology. 29(15_suppl). 7609–7609.

Fujita, Shiro, Nobuyuki Katakami, Katsuhiro Masago, et al.. (2010). A phase II study of gefitinib versus vinorelbine or gemcitabine in chemotherapy-naïve elderly patients with advanced non-small cell lung cancer based on epidermal growth factor receptor mutation status.. Journal of Clinical Oncology. 28(15_suppl). 7559–7559. 2 indexed citations

Tomii, Kunitoshi, Kazunori Tsukuda, Shinichi Toyooka, et al.. (2006). Aberrant promoter methylation of insulin‐like growth factor binding protein‐3 gene in human cancers. International Journal of Cancer. 120(3). 566–573. 63 indexed citations

Toyooka, Shinichi, Masaki Tokumo, Hisayuki Shigematsu, et al.. (2006). Mutational and Epigenetic Evidence for Independent Pathways for Lung Adenocarcinomas Arising in Smokers and Never Smokers. Cancer Research. 66(3). 1371–1375. 126 indexed citations

Tokumo, Masaki, Shinichi Toyooka, Katsuyuki Kiura, et al.. (2005). The relationship between epidermal growth factor receptor(EGFR) mutations and clinico-pathological features in non-small cell lung cancers. Cancer Research. 65. 393–393. 2 indexed citations

Tokumo, Masaki, Shinichi Toyooka, Katsuyuki Kiura, et al.. (2005). The Relationship between Epidermal Growth Factor Receptor Mutations and Clinicopathologic Features in Non–Small Cell Lung Cancers. Clinical Cancer Research. 11(3). 1167–1173. 429 indexed citations

Kawai, Hiroshi, Kunitoshi Tomii, Shinichi Toyooka, et al.. (2005). Promoter methylation downregulates CDX2 expression in colorectal carcinomas. Oncology Reports. 13(3). 547–51. 36 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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