Leo Yamada

405 total citations
18 papers, 233 citations indexed

About

Leo Yamada is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Leo Yamada has authored 18 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 6 papers in Pathology and Forensic Medicine and 4 papers in Molecular Biology. Recurrent topics in Leo Yamada's work include Cancer Immunotherapy and Biomarkers (5 papers), Genetic factors in colorectal cancer (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). Leo Yamada is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Genetic factors in colorectal cancer (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). Leo Yamada collaborates with scholars based in Japan, United States and India. Leo Yamada's co-authors include Koji Kono, Shinji Ohki, Tomoyuki Momma, Zenichiro Saze, Kosaku Mimura, Shotaro Fujita, Wataru Sakamoto, Hirokazu Okayama, Motonobu Saito and Hisahito Endo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Leo Yamada

17 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leo Yamada Japan 7 150 78 58 56 56 18 233
Fumiaki Shiratori Japan 10 98 0.7× 79 1.0× 56 1.0× 62 1.1× 25 0.4× 35 223
Daisuke Ujiie Japan 9 172 1.1× 129 1.7× 83 1.4× 63 1.1× 53 0.9× 18 318
Hiroyuki Hanayama Japan 10 155 1.0× 81 1.0× 85 1.5× 101 1.8× 30 0.5× 40 297
Fenglin Zang China 10 71 0.5× 92 1.2× 48 0.8× 31 0.6× 33 0.6× 22 211
Stefano Brignola Italy 5 108 0.7× 75 1.0× 15 0.3× 54 1.0× 47 0.8× 8 213
Zhixue Zheng China 10 185 1.2× 70 0.9× 77 1.3× 96 1.7× 31 0.6× 19 353
Yumi Terakado Japan 8 85 0.6× 102 1.3× 17 0.3× 137 2.4× 38 0.7× 9 255
Wenzhuan Xie China 8 114 0.8× 97 1.2× 27 0.5× 20 0.4× 54 1.0× 18 238
Hiroshi Imazeki Japan 10 206 1.4× 54 0.7× 72 1.2× 74 1.3× 16 0.3× 31 308
Fahire G. Akarca United States 4 80 0.5× 35 0.4× 44 0.8× 75 1.3× 26 0.5× 7 177

Countries citing papers authored by Leo Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Leo Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Yamada

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

All Works

18 of 18 papers shown
1.
Horikawa, Izumi, Leo Yamada, Brent T. Harris, & Curtis C. Harris. (2025). Δ133p53α-mediated inhibition of astrocyte senescence and neurotoxicity as a possible therapeutic approach for neurodegenerative diseases. Neuroscience. 580. 54–61. 1 indexed citations
2.
3.
Lissa, Delphine, Sebastien M. Joruiz, Patricia Dranchak, et al.. (2025). A Quantitative High-Throughput Screen Identifies Compounds that Upregulate the p53 Isoform Δ133p53α and Inhibit Cellular Senescence. ACS Pharmacology & Translational Science. 8(7). 2061–2074. 1 indexed citations
4.
Matsumoto, Takuro, Shinji Ohki, Yuya Maruyama, et al.. (2023). Systemic inflammation score as a preoperative prognostic factor for patients with pT2–T4 resectable gastric cancer: a retrospective study. BMC Surgery. 23(1). 8–8. 3 indexed citations
5.
Nakano, Hiroshi, Motonobu Saito, Shotaro Nakajima, et al.. (2021). PD-L1 overexpression in EBV-positive gastric cancer is caused by unique genomic or epigenomic mechanisms. Scientific Reports. 11(1). 1982–1982. 43 indexed citations
6.
Okayama, Hirokazu, Katsuharu Saito, Shotaro Nakajima, et al.. (2020). A TGFβ-Dependent Stromal Subset Underlies Immune Checkpoint Inhibitor Efficacy in DNA Mismatch Repair–Deficient/Microsatellite Instability-High Colorectal Cancer. Molecular Cancer Research. 18(9). 1402–1413. 27 indexed citations
7.
Saito, Motonobu, Leo Yamada, Shotaro Nakajima, et al.. (2020). 152P ARID1A deficiency in EBV-positive gastric cancer is partially regulated by EBV-encoded miRNAs, but not by DNA promotor hypermethylation. Annals of Oncology. 31. S1299–S1299. 3 indexed citations
8.
Yamada, Leo, Motonobu Saito, Aung Kyi Thar Min, et al.. (2020). Selective sensitivity of EZH2 inhibitors based on synthetic lethality in ARID1A-deficient gastric cancer. Gastric Cancer. 24(1). 60–71. 29 indexed citations
9.
Yamada, Leo, Motonobu Saito, Aung Kyi Thar Min, et al.. (2020). Tuberculous peritonitis; The effectiveness of diagnostic laparoscopy and the perioperative infectious prevention. International Journal of Surgery Case Reports. 72(C). 326–329. 5 indexed citations
10.
Matsumoto, Takuro, Hirokazu Okayama, Shotaro Nakajima, et al.. (2020). Tn Antigen Expression Defines an Immune Cold Subset of Mismatch-Repair Deficient Colorectal Cancer. International Journal of Molecular Sciences. 21(23). 9081–9081. 9 indexed citations
11.
Sakamoto, Wataru, Leo Yamada, Osamu Suzuki, et al.. (2019). Microanatomy of inferior mesenteric artery sheath in colorectal cancer surgery. SHILAP Revista de lepidopterología. 3(4). 167–174. 5 indexed citations
12.
Hayase, Suguru, Leo Yamada, Daisuke Ujiie, et al.. (2019). Clinical usefulness of ramucirumab plus paclitaxel for unresectable and recurrent gastric cancer. FUKUSHIMA JOURNAL OF MEDICAL SCIENCE. 65(1). 6–12. 2 indexed citations
13.
Ujiie, Daisuke, Hirokazu Okayama, Katsuharu Saito, et al.. (2019). KRT17 as a prognostic biomarker for stage II colorectal cancer. Carcinogenesis. 41(5). 591–599. 24 indexed citations
14.
Yamada, Leo, Motonobu Saito, Aung Kyi Thar Min, et al.. (2019). Explore the correlation between ARID1A and ANXA1 expressions in gastric cancer. Annals of Cancer Research and Therapy. 27(2). 46–51. 1 indexed citations
15.
Kikuchi, Tomohiro, Kosaku Mimura, Hirokazu Okayama, et al.. (2019). A subset of patients with MSS/MSI‑low‑colorectal cancer showed increased CD8(+) TILs together with up‑regulated IFN‑γ. Oncology Letters. 18(6). 5977–5985. 39 indexed citations
16.
Nohara, Kyoko, Kazuhiko Yamada, Leo Yamada, et al.. (2018). Expression of kallikrein-related peptidase 13 is associated with poor prognosis in esophageal squamous cell carcinoma. General Thoracic and Cardiovascular Surgery. 66(6). 351–357. 4 indexed citations
17.
Mimura, Kosaku, Leo Yamada, Daisuke Ujiie, et al.. (2018). Immunotherapy for esophageal squamous cell carcinoma: a review. FUKUSHIMA JOURNAL OF MEDICAL SCIENCE. 64(2). 46–53. 36 indexed citations
18.
Ujiie, Daisuke, Shinji Ohki, Hirokazu Okayama, et al.. (2018). PS02.071: EVALUATION OF CIRCULATING TUMOR CELLS IN ESOPHAGEAL CANCER PATIENTS. Diseases of the Esophagus. 31(Supplement_1). 140–140. 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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