Takuma Hayashi

2.4k total citations
107 papers, 1.7k citations indexed

About

Takuma Hayashi is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Takuma Hayashi has authored 107 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 28 papers in Molecular Biology and 24 papers in Cancer Research. Recurrent topics in Takuma Hayashi's work include Uterine Myomas and Treatments (18 papers), NF-κB Signaling Pathways (14 papers) and Ovarian cancer diagnosis and treatment (12 papers). Takuma Hayashi is often cited by papers focused on Uterine Myomas and Treatments (18 papers), NF-κB Signaling Pathways (14 papers) and Ovarian cancer diagnosis and treatment (12 papers). Takuma Hayashi collaborates with scholars based in Japan, United States and United Kingdom. Takuma Hayashi's co-authors include Denise L. Faustman, Ikuo Konishi, Denise L. Faustman, Akiko Horiuchi, Tanri Shiozawa, Shiro Maeda, Takashi Okamoto, Toshiyuki Sekine, Yasuhiko Iwamoto and Kenji Sano and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Takuma Hayashi

98 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuma Hayashi Japan 24 755 453 279 276 255 107 1.7k
Timothy J. O’Brien United States 21 522 0.7× 318 0.7× 208 0.7× 147 0.5× 143 0.6× 48 1.7k
S. Hauptmann Germany 20 668 0.9× 176 0.4× 346 1.2× 297 1.1× 133 0.5× 50 1.5k
Zaheed Husain United States 18 612 0.8× 753 1.7× 361 1.3× 465 1.7× 163 0.6× 27 1.7k
Allison Jones United Kingdom 25 1.5k 2.0× 176 0.4× 310 1.1× 691 2.5× 306 1.2× 47 2.1k
Camari Ferguson United States 14 710 0.9× 284 0.6× 201 0.7× 322 1.2× 221 0.9× 16 1.6k
Tzu Phang United States 21 529 0.7× 201 0.4× 199 0.7× 197 0.7× 189 0.7× 40 1.3k
Alla Pritsker United States 13 460 0.6× 334 0.7× 176 0.6× 237 0.9× 125 0.5× 18 1.3k
S. Pampfer Belgium 28 730 1.0× 841 1.9× 133 0.5× 113 0.4× 223 0.9× 57 2.1k
Naoko Okayama Japan 20 643 0.9× 188 0.4× 403 1.4× 288 1.0× 217 0.9× 70 1.3k
G. Sliutz Austria 25 724 1.0× 179 0.4× 648 2.3× 359 1.3× 110 0.4× 73 1.9k

Countries citing papers authored by Takuma Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuma Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Hayashi. A scholar is included among the top collaborators of Takuma Hayashi 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 Takuma Hayashi. Takuma Hayashi 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.
Konishi, Ikuo, Takuma Hayashi, Masafumi Koshiyama, et al.. (2025). Ovarian cancer screening: where do we stand now?. SHILAP Revista de lepidopterología. 2(1). 1 indexed citations
2.
Konishi, Ikuo, Kaoru Abiko, Takuma Hayashi, et al.. (2022). Peritoneal dissemination of high-grade serous ovarian cancer: pivotal roles of chromosomal instability and epigenetic dynamics. Journal of Gynecologic Oncology. 33(5). e83–e83. 10 indexed citations
3.
Hayashi, Takuma, et al.. (2022). Characteristic of Uterine Rhabdomyosarcoma by Algorithm of Potential Biomarkers for Uterine Mesenchymal Tumor. Current Oncology. 29(4). 2350–2363. 5 indexed citations
4.
Sano, Kenji, et al.. (2021). Diagnostic Biomarker Candidates Including NT5DC2 for Human Uterine Mesenchymal Tumors. International Journal of Trend in Scientific Research and Development. 4 indexed citations
5.
Hayashi, Takuma, Nobuo Yaegashi, Susumu Tonegawa, & Ikuo Konishi. (2021). Potential biomarkers associated with malignancy in uterine mesenchymal tumors. European Journal of Gynaecological Oncology. 42(5). 824–824. 3 indexed citations
6.
Hayashi, Takuma, Kaoru Abiko, Takuma Hayashi, et al.. (2020). Potential Novel Ovarian Cancer Treatment Targeting Myeloid-Derived Suppressor Cells. 1–5. 2 indexed citations
7.
Watanabe, Junichiro, Takuma Hayashi, Yukiko Tadokoro, S. Nishimura, & Kaoru Takahashi. (2017). Clinical pattern of primary systemic therapy and outcomes of estrogen receptor-positive, HER2-negative metastatic breast cancer: a review of a single institution. Breast Cancer Research and Treatment. 166(3). 911–917. 10 indexed citations
8.
Hayashi, Takuma, Tomoyuki Ichimura, Mari Kasai, et al.. (2017). Pathobiology of Human Uterine Leiomyosarcoma for Development of Novel Diagnosis and Clinical Therapy. 3(1). 1 indexed citations
9.
10.
Tada, Yoshihiro, Kotaro Kitaya, Takuma Hayashi, et al.. (2015). A pilot survey on obstetric complications in pregnant women with a history of repeated embryo implantation failure and those undergoing single local endometrial injury. Clinical and Experimental Obstetrics & Gynecology. 42(2). 176–178. 5 indexed citations
11.
Hayashi, Takuma. (2013). The Proteasome Subunit LMP2/b1i In the Female Genital System. 1(1). 1–1. 2 indexed citations
12.
13.
Hayashi, Takuma. (2012). A potential diagnostic biomarker: proteasome subunit LMP2/β1i-differential expression in human uterus neoplasm. Jornal de Pediatria. 1(2). 45–51. 1 indexed citations
14.
Hayashi, Takuma, Akiko Horiuchi, Kenji Sano, et al.. (2010). Mice-lacking LMP2, immuno-proteasome subunit, as an animal model of spontaneous uterine leiomyosarcoma. Protein & Cell. 1(8). 711–717. 9 indexed citations
15.
Yamazaki, Kazuko, Takashi Yamazaki, Shinsuke Taki, et al.. (2010). Potentiation of TLR9 responses for human naïve B-cell growth through RP105 signaling. Clinical Immunology. 135(1). 125–136. 23 indexed citations
16.
Maeda, Shiro, et al.. (2007). Genetic variations associated with diabetic nephropathy and type II diabetes in a Japanese population. Kidney International. 72(106). S43–S48. 43 indexed citations
17.
Hayashi, Takuma & Denise L. Faustman. (2000). The role of the proteasome in autoimmunity. Diabetes/Metabolism Research and Reviews. 16(5). 325–337. 7 indexed citations
18.
Hayashi, Takuma & Denise L. Faustman. (2000). Essential Role of Human Leukocyte Antigen-encoded Proteasome Subunits in NF-κB Activation and Prevention of Tumor Necrosis Factor-α-induced Apoptosis. Journal of Biological Chemistry. 275(7). 5238–5247. 66 indexed citations
19.
Tsugawa, Masaya, Koichi Monden, Hiromi Kumon, et al.. (1999). Clinical study of gatifloxacin in prostatitis. 47(12). 843–851.
20.
Stemmermann, Grant N., et al.. (1985). Colorectal cancer in Hawaiian Japanese men: a progress report.. PubMed. 69. 125–31. 10 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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