Naoki Goshima

6.4k total citations · 2 hit papers
119 papers, 4.3k citations indexed

About

Naoki Goshima is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Naoki Goshima has authored 119 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 27 papers in Genetics and 18 papers in Oncology. Recurrent topics in Naoki Goshima's work include RNA and protein synthesis mechanisms (14 papers), Bacterial Genetics and Biotechnology (12 papers) and Pluripotent Stem Cells Research (11 papers). Naoki Goshima is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), Bacterial Genetics and Biotechnology (12 papers) and Pluripotent Stem Cells Research (11 papers). Naoki Goshima collaborates with scholars based in Japan, United States and United Kingdom. Naoki Goshima's co-authors include Shinya Yamanaka, Tetsuro Hirose, Keisuke Okita, Akira Watanabe, Yoshiko Sato, Yasuko Matsumura, Naoki Amano, Nobuo Nomura, Yoshifumi Kawamura and Y. Sasaki and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Naoki Goshima

116 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An Efficient Nonviral Method to Generate Integration-Free Human-Induced Pluripotent Stem Cells from Cord Blood and Peripheral Blood Cells

2012 540 citations Keisuke Okita, Akira Watanabe et al. profile →
Direct reprogramming of somatic cells is promoted by maternal transcription factor Glis1

2011 294 citations Kei Yamaguchi, Yoshifumi Kawamura et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naoki Goshima Japan	32	3.3k	680	489	484	417	119	4.3k
Guang Hu United States	34	4.3k 1.3×	549 0.8×	349 0.7×	724 1.5×	473 1.1×	94	5.1k
Tim Thomas Australia	46	4.4k 1.3×	931 1.4×	523 1.1×	588 1.2×	424 1.0×	138	6.3k
Marie‐Laure Yaspo Germany	27	2.9k 0.9×	970 1.4×	244 0.5×	737 1.5×	348 0.8×	70	4.7k
Yurii Chinenov United States	27	2.2k 0.7×	456 0.7×	349 0.7×	355 0.7×	486 1.2×	43	3.7k
Michael B. Major United States	37	3.5k 1.1×	410 0.6×	588 1.2×	492 1.0×	661 1.6×	99	4.4k
Xinmin Li United States	34	3.4k 1.0×	742 1.1×	551 1.1×	777 1.6×	313 0.8×	97	5.1k
Pumin Zhang United States	27	3.8k 1.1×	762 1.1×	719 1.5×	523 1.1×	1.3k 3.0×	51	4.6k
Jan Willem Voncken Netherlands	34	4.0k 1.2×	677 1.0×	728 1.5×	753 1.6×	700 1.7×	62	5.8k
Beric R. Henderson Australia	40	4.1k 1.2×	764 1.1×	699 1.4×	427 0.9×	753 1.8×	90	5.1k
Debra J. Wolgemuth United States	43	4.0k 1.2×	1.5k 2.2×	629 1.3×	269 0.6×	715 1.7×	103	5.7k

Countries citing papers authored by Naoki Goshima

Since Specialization

Citations

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

Fields of papers citing papers by Naoki Goshima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Goshima

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

All Works

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20 of 20 papers shown

Matsuda, Kazuki, Kei Yamaguchi, Chihiro Ono, et al.. (2024). Diversity and Epitope Spreading of Anti–RNA Polymerase III Antibodies in Systemic Sclerosis: A Potential Biomarker for Skin and Lung Involvement. Arthritis & Rheumatology. 77(1). 67–79. 5 indexed citations

Nakahara, Tomomi, Katsuyuki Tanaka, Takashi Yugawa, et al.. (2023). An in vitro carcinogenesis model for cervical cancer harboring episomal form of HPV16. PLoS ONE. 18(2). e0281069–e0281069. 1 indexed citations

Taniue, Kenzui, Tomoatsu Hayashi, Yasuko Takeda, et al.. (2023). LncRNA ZNNT1 induces p53 degradation by interfering with the interaction between p53 and the SART3-USP15 complex. PNAS Nexus. 2(7). pgad220–pgad220. 4 indexed citations

Goshima, Naoki, et al.. (2023). HOXB7 induces STAT3‐mediated transformation and lung metastasis in immortalized mammary gland NMuMG cells. Genes to Cells. 28(4). 277–287. 3 indexed citations

Harada, Naoki, Y. Teraoka, Hiroko Horiuchi, et al.. (2022). Identification of G protein-coupled receptor 55 (GPR55) as a target of curcumin. npj Science of Food. 6(1). 4–4. 24 indexed citations

UCHIDA, Y., Ryota Kurimoto, Tomoki Chiba, et al.. (2022). RNA-binding protein LIN28A upregulates transcription factor HIF1α by posttranscriptional regulation via direct binding to UGAU motifs. Journal of Biological Chemistry. 299(1). 102791–102791. 7 indexed citations

Motohashi, Tsutomu, et al.. (2020). Sox10 Functions as an Inducer of the Direct Conversion of Keratinocytes Into Neural Crest Cells. Stem Cells and Development. 29(23). 1510–1519. 6 indexed citations

Sato, Takahiko, Hidetoshi Sakurai, Takuya Yamamoto, et al.. (2019). Core Transcription Factors Promote Induction of PAX3-Positive Skeletal Muscle Stem Cells. Stem Cell Reports. 13(2). 352–365. 21 indexed citations

Nagai, Tomoaki, et al.. (2018). Cullin-3–KCTD10-mediated CEP97 degradation promotes primary cilium formation. Journal of Cell Science. 131(24). 25 indexed citations

10.

Nagashio, Ryo, Shi‐Xu Jiang, Masaaki Ichinoe, et al.. (2018). Cytoskeleton-Associated Protein 4 Is a Novel Serodiagnostic Marker for Lung Cancer. American Journal Of Pathology. 188(6). 1328–1333. 33 indexed citations

11.

Sakaue‐Sawano, Asako, Naoki Komatsu, Toru Hiratsuka, et al.. (2017). Genetically Encoded Tools for Optical Dissection of the Mammalian Cell Cycle. Molecular Cell. 68(3). 626–640.e5. 109 indexed citations

12.

Kitazawa, Koji, Takafusa Hikichi, Takahiro Nakamura, et al.. (2016). OVOL2 Maintains the Transcriptional Program of Human Corneal Epithelium by Suppressing Epithelial-to-Mesenchymal Transition. Cell Reports. 15(6). 1359–1368. 58 indexed citations

13.

Kobayashi, Makoto, Ryo Nagashio, Shi-Xu Jiang, et al.. (2015). Calnexin is a novel sero-diagnostic marker for lung cancer. Lung Cancer. 90(2). 342–345. 34 indexed citations

14.

Ishikawa, Kosuke, Emi Ito, Jiro Fujimoto, et al.. (2014). Enhanced expression of retinoic acid receptor alpha (RARA) induces epithelial‐to‐mesenchymal transition and disruption of mammary acinar structures. Molecular Oncology. 9(2). 355–364. 29 indexed citations

15.

Saito, Makoto, Yukiko Kato, Emi Ito, et al.. (2012). Expression screening of 17q12–21 amplicon reveals GRB7 as an ERBB2‐dependent oncogene. FEBS Letters. 586(12). 1708–1714. 20 indexed citations

16.

Kunoh, Tatsuki, Koichi Koseki, Motoki Takagi, et al.. (2010). A Novel Human Dynactin-Associated Protein, dynAP, Promotes Activation of Akt, and Ergosterol-Related Compounds Induce dynAP-Dependent Apoptosis of Human Cancer Cells. Molecular Cancer Therapeutics. 9(11). 2934–2942. 10 indexed citations

17.

Takeda, Hiroyuki, Naoki Goshima, & Nobuo Nomura. (2010). High-Throughput Kinase Assay Based on Surface Plasmon Resonance. Methods in molecular biology. 627. 131–145. 10 indexed citations

18.

Maruyama, Yukio, Alda Wakamatsu, Yumi Kawamura, et al.. (2008). Human Gene and Protein Database (HGPD): a novel database presenting a large quantity of experiment-based results in human proteomics. Nucleic Acids Research. 37(Database). D762–D766. 24 indexed citations

19.

Ikeno, Masashi, Nobutaka Suzuki, Takeshi Tomonaga, et al.. (2006). Comprehensive analysis of the ICEN (Interphase Centromere Complex) components enriched in the CENP‐A chromatin of human cells. Genes to Cells. 11(6). 673–684. 171 indexed citations

20.

Goshima, Naoki, et al.. (1985). Superoxide Dismutase in a Blowfly, Aldrichina grahami I. Interference of the Enzyme Assay by the Insect Homogenate. Osaka Prefecture University Repository (Osaka Prefecture University). 37. 75–80. 1 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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