Manabu Soda

15.1k total citations · 5 hit papers
47 papers, 10.5k citations indexed

About

Manabu Soda is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Manabu Soda has authored 47 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Oncology and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Manabu Soda's work include Lung Cancer Treatments and Mutations (20 papers), Lung Cancer Research Studies (17 papers) and Cancer Genomics and Diagnostics (10 papers). Manabu Soda is often cited by papers focused on Lung Cancer Treatments and Mutations (20 papers), Lung Cancer Research Studies (17 papers) and Cancer Genomics and Diagnostics (10 papers). Manabu Soda collaborates with scholars based in Japan, United Kingdom and United States. Manabu Soda's co-authors include Hiroyuki Mano, Young Lim Choi, Yuichi Ishikawa, Yoshihiro Yamashita, Shuji Takada, Kengo Takeuchi, Munehiro Enomoto, Yukihiko Sugiyama, Hisashi Hatanaka and Toshiro Niki and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Manabu Soda

46 papers receiving 10.3k citations

Hit Papers

Identification of the transforming EML4–ALK fusion gene i... 2007 2026 2013 2019 2007 2012 2010 2008 2009 1000 2.0k 3.0k 4.0k

Peers

Manabu Soda
Yoon‐La Choi South Korea
Lukas C. Amler United States
Juliann Chmielecki United States
Jeffrey C. Lee United States
J. Guillermo Paez United States
Manabu Soda
Citations per year, relative to Manabu Soda Manabu Soda (= 1×) peers Young Lim Choi

Countries citing papers authored by Manabu Soda

Since Specialization
Citations

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

Fields of papers citing papers by Manabu Soda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manabu Soda

This figure shows the co-authorship network connecting the top 25 collaborators of Manabu Soda. A scholar is included among the top collaborators of Manabu Soda 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 Manabu Soda. Manabu Soda 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.
Sato, Kazuhito, Masahito Kawazu, Yoko Yamamoto, et al.. (2018). Fusion Kinases Identified by Genomic Analyses of Sporadic Microsatellite Instability–High Colorectal Cancers. Clinical Cancer Research. 25(1). 378–389. 44 indexed citations
2.
Hashizume, Osamu, Takayuki Mito, Akinori Shimizu, et al.. (2015). Epigenetic regulation of the nuclear-coded GCAT and SHMT2 genes confers human age-associated mitochondrial respiration defects. Scientific Reports. 5(1). 10434–10434. 65 indexed citations
3.
Ando, Mizuo, Masahito Kawazu, Toshihide Ueno, et al.. (2013). Cancer‐associated missense mutations of caspase‐8 activate nuclear factor‐κB signaling. Cancer Science. 104(8). 1002–1008. 34 indexed citations
4.
Yamada, Tadaaki, Shinji Takeuchi, Junya Nakade, et al.. (2012). Paracrine Receptor Activation by Microenvironment Triggers Bypass Survival Signals and ALK Inhibitor Resistance in EML4-ALK Lung Cancer Cells. Clinical Cancer Research. 18(13). 3592–3602. 93 indexed citations
5.
Soda, Manabu, Kazutoshi Isobe, Akira Inoue, et al.. (2012). A Prospective PCR-Based Screening for the EML4-ALK Oncogene in Non–Small Cell Lung Cancer. Clinical Cancer Research. 18(20). 5682–5689. 96 indexed citations
6.
Togashi, Yuki, Manabu Soda, Seiji Sakata, et al.. (2012). KLC1-ALK: A Novel Fusion in Lung Cancer Identified Using a Formalin-Fixed Paraffin-Embedded Tissue Only. PLoS ONE. 7(2). e31323–e31323. 205 indexed citations
7.
Takeuchi, Kengo, Manabu Soda, Yuki Togashi, et al.. (2011). Pulmonary Inflammatory Myofibroblastic Tumor Expressing a Novel Fusion, PPFIBP1–ALK: Reappraisal of Anti-ALK Immunohistochemistry as a Tool for Novel ALK Fusion Identification. Clinical Cancer Research. 17(10). 3341–3348. 77 indexed citations
8.
Ueno, Toshihide, Yoshihiro Yamashita, Manabu Soda, et al.. (2011). High‐throughput resequencing of target‐captured cDNA in cancer cells. Cancer Science. 103(1). 131–135. 14 indexed citations
9.
Sakairi, Yuichi, Takahiro Nakajima, Kazuhiro Yasufuku, et al.. (2010). EML4-ALK Fusion Gene Assessment Using Metastatic Lymph Node Samples Obtained by Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration. Clinical Cancer Research. 16(20). 4938–4945. 125 indexed citations
10.
Choi, Young Lim, Manabu Soda, Yoshihiro Yamashita, et al.. (2010). EML4-ALK Mutations in Lung Cancer That Confer Resistance to ALK Inhibitors. New England Journal of Medicine. 363(18). 1734–1739. 915 indexed citations breakdown →
11.
Takeuchi, Kengo, Young Lim Choi, Yuki Togashi, et al.. (2009). KIF5B-ALK, a Novel Fusion Oncokinase Identified by an Immunohistochemistry-based Diagnostic System for ALK-positive Lung Cancer. Clinical Cancer Research. 15(9). 3143–3149. 557 indexed citations breakdown →
12.
Hatanaka, Hisashi, Shuji Takada, Kentaro Kurashina, et al.. (2009). Identification of transforming activity of free fatty acid receptor 2 by retroviral expression screening. Cancer Science. 101(1). 54–59. 32 indexed citations
13.
Choi, Young Lim, Kengo Takeuchi, Manabu Soda, et al.. (2008). Identification of Novel Isoforms of the EML4-ALK Transforming Gene in Non–Small Cell Lung Cancer. Cancer Research. 68(13). 4971–4976. 346 indexed citations
14.
Soda, Manabu, Shuji Takada, Kengo Takeuchi, et al.. (2008). A mouse model for EML4-ALK -positive lung cancer. Proceedings of the National Academy of Sciences. 105(50). 19893–19897. 396 indexed citations
15.
Takeuchi, Kengo, Young Lim Choi, Manabu Soda, et al.. (2008). Multiplex Reverse Transcription-PCR Screening for EML4-ALK Fusion Transcripts. Clinical Cancer Research. 14(20). 6618–6624. 397 indexed citations
16.
Inamura, Kentaro, Kengo Takeuchi, Yuki Togashi, et al.. (2008). EML4-ALK Fusion Is Linked to Histological Characteristics in a Subset of Lung Cancers. Journal of Thoracic Oncology. 3(1). 13–17. 374 indexed citations
17.
Tajima, Shunji, Manabu Soda, Masashi Bando, et al.. (2008). Preventive effects of edaravone, a free radical scavenger, on lipopolysaccharide‐induced lung injury in mice. Respirology. 13(5). 646–653. 25 indexed citations
18.
Soda, Manabu, Young Lim Choi, Munehiro Enomoto, et al.. (2007). Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer. Nature. 448(7153). 561–566. 4018 indexed citations breakdown →
19.
Choi, Young Lim, Ruri Kaneda, Tomoaki Wada, et al.. (2006). Identification of a constitutively active mutant of JAK3 by retroviral expression screening. Leukemia Research. 31(2). 203–209. 18 indexed citations
20.
Usui, Kazuhiro, et al.. (2004). [Electronic clinical pathway for community acquired pneumonia (e-CP CAP)].. PubMed. 42(7). 620–4. 12 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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