Takeshi Yoshida

6.2k total citations
141 papers, 4.4k citations indexed

About

Takeshi Yoshida is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Takeshi Yoshida has authored 141 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 27 papers in Oncology and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Takeshi Yoshida's work include Lung Cancer Treatments and Mutations (18 papers), Adipose Tissue and Metabolism (15 papers) and HER2/EGFR in Cancer Research (12 papers). Takeshi Yoshida is often cited by papers focused on Lung Cancer Treatments and Mutations (18 papers), Adipose Tissue and Metabolism (15 papers) and HER2/EGFR in Cancer Research (12 papers). Takeshi Yoshida collaborates with scholars based in Japan, United States and Australia. Takeshi Yoshida's co-authors include Rikinari Hanayama, Naoki Sakane, T. Umekawa, Kazuhiko Nakagawa, Isamu Okamoto, Masahiro Fukuoka, Masayuki Saito, Yuji Miyatake, Eric B. Haura and Diego Díez and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Takeshi Yoshida

133 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takeshi Yoshida Japan 36 1.8k 1.0k 724 669 610 141 4.4k
Toshio Nishikawa Japan 43 2.5k 1.4× 652 0.6× 655 0.9× 275 0.4× 547 0.9× 401 7.3k
Yi Liu China 34 2.4k 1.3× 1.3k 1.3× 801 1.1× 211 0.3× 1.2k 1.9× 247 5.2k
Dario Ghigo Italy 51 2.3k 1.3× 948 0.9× 698 1.0× 1.1k 1.6× 883 1.4× 156 6.9k
Feng Wang China 37 2.6k 1.4× 1.1k 1.1× 408 0.6× 223 0.3× 1.4k 2.3× 131 4.8k
Hideyuki J. Majima Japan 26 1.8k 1.0× 274 0.3× 546 0.8× 511 0.8× 492 0.8× 103 4.0k
Wei Zhang China 47 2.9k 1.6× 760 0.7× 430 0.6× 899 1.3× 829 1.4× 316 6.8k
Daniel L. Morgan United States 31 1.2k 0.7× 298 0.3× 782 1.1× 431 0.6× 973 1.6× 109 3.7k
Elena Gazzano Italy 36 1.4k 0.8× 560 0.5× 616 0.9× 341 0.5× 609 1.0× 87 4.0k
Stanisław Góźdż Poland 30 891 0.5× 730 0.7× 288 0.4× 202 0.3× 494 0.8× 184 3.4k

Countries citing papers authored by Takeshi Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Yoshida. A scholar is included among the top collaborators of Takeshi Yoshida 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 Takeshi Yoshida. Takeshi Yoshida 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.
Lim, Keesiang, Takeshi Yoshida, S. Narimatsu, et al.. (2025). Nanoscopic Profiling of Small Extracellular Vesicles via High‐Speed Atomic Force Microscopy (HS‐AFM) Videography. Journal of Extracellular Vesicles. 14(4). e270050–e270050. 7 indexed citations
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Yoshida, Takeshi, et al.. (2024). Precise analysis of single small extracellular vesicles using flow cytometry. Scientific Reports. 14(1). 7465–7465. 25 indexed citations
5.
Takano, Kyoya, et al.. (2023). A 0.6-V 41.3-GHz Power-Scalable Sub-Sampling PLL in 55-nm CMOS DDC. IEICE Transactions on Electronics. E106.C(10). 533–537. 1 indexed citations
6.
Amakawa, Shuhei, et al.. (2023). A 58-%-Lock-Range Divide-by-9 Injection-Locked Frequency Divider Using Harmonic-Control Technique. IEICE Transactions on Electronics. E106.C(10). 529–532.
7.
Lim, Keesiang, Tomoyoshi Yamano, Takeshi Yoshida, et al.. (2023). Nanoscopic Assessment of Anti-SARS-CoV-2 Spike Neutralizing Antibody Using High-Speed AFM. Nano Letters. 23(2). 619–628. 13 indexed citations
8.
Baba, Tomohisa, Takeshi Yoshida, Tatsunori Nishimura, et al.. (2021). Cytoplasmic DNA accumulation preferentially triggers cell death of myeloid leukemia cells by interacting with intracellular DNA sensing pathway. Cell Death and Disease. 12(4). 322–322. 14 indexed citations
9.
Yurtsever, Ayhan, et al.. (2021). Structural and mechanical characteristics of exosomes from osteosarcoma cells explored by 3D-atomic force microscopy. Nanoscale. 13(13). 6661–6677. 54 indexed citations
10.
Lim, Keesiang, Noriyuki Kodera, Hanbo Wang, et al.. (2020). High-Speed AFM Reveals Molecular Dynamics of Human Influenza A Hemagglutinin and Its Interaction with Exosomes. Nano Letters. 20(9). 6320–6328. 29 indexed citations
11.
Tsutsui, Makusu, Takeshi Yoshida, Kazumichi Yokota, et al.. (2017). Discriminating single-bacterial shape using low-aspect-ratio pores. Scientific Reports. 7(1). 17371–17371. 59 indexed citations
12.
Yoshida, Takeshi. (2016). ASSESSING MAINTENANCE NEEDS FOR ROAD SECTIONS FROM THE VIEW POINT OF ROAD FUNCTIONS. Journal of Japan Society of Civil Engineers Ser E1 (Pavement Engineering). 72(1). 42–53. 1 indexed citations
13.
Nonagase, Yoshikane, Kimio Yonesaka, Hisato Kawakami, et al.. (2016). Heregulin-expressing HER2-positive breast and gastric cancer exhibited heterogeneous susceptibility to the anti-HER2 agents lapatinib, trastuzumab and T-DM1. Oncotarget. 7(51). 84860–84871. 20 indexed citations
14.
Yoshida, Takeshi, Guolin Zhang, Matthew A. Smith, et al.. (2014). Tyrosine Phosphoproteomics Identifies Both Codrivers and Cotargeting Strategies for T790M-Related EGFR-TKI Resistance in Non–Small Cell Lung Cancer. Clinical Cancer Research. 20(15). 4059–4074. 89 indexed citations
15.
Sakurai, Fuminori, Maiko Higuchi, Kaori Ono, et al.. (2012). Suppression of hepatitis C virus replicon by adenovirus vector-mediated expression of tough decoy RNA against miR-122a. Virus Research. 165(2). 214–218. 17 indexed citations
16.
Okamoto, Wataru, Isamu Okamoto, Takeshi Yoshida, et al.. (2010). Identification of c-Src as a Potential Therapeutic Target for Gastric Cancer and of MET Activation as a Cause of Resistance to c-Src Inhibition. Molecular Cancer Therapeutics. 9(5). 1188–1197. 58 indexed citations
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Yoshioka, Keiji, Takeshi Yoshida, Yasuto Takakura, et al.. (2003). Fatty Acid Binding Protein Gene 2 Polymorphism Is Not Associated with Diabetic Retinopathy in Japanese Type 2 Diabetic Patients. Hormone and Metabolic Research. 35(10). 625–627. 4 indexed citations
19.
Yoshida, Takeshi, et al.. (1994). The alpha/beta-adrenergic receptor blocker arotinolol activates the thermogenesis of brown adipose tissue in monosodium-L-glutamate-induced obese mice.. PubMed. 18(5). 339–43. 3 indexed citations
20.
Yoshida, Takeshi, et al.. (1994). Usefulness of mazindol in combined diet therapy consisting of a low-calorie diet and Optifast in severely obese women.. PubMed. 14(4). 125–32. 14 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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