Yuichi Sameshima

677 total citations
9 papers, 563 citations indexed

About

Yuichi Sameshima is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Yuichi Sameshima has authored 9 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Yuichi Sameshima's work include Cancer-related Molecular Pathways (5 papers), Sarcoma Diagnosis and Treatment (2 papers) and Genetic factors in colorectal cancer (2 papers). Yuichi Sameshima is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Sarcoma Diagnosis and Treatment (2 papers) and Genetic factors in colorectal cancer (2 papers). Yuichi Sameshima collaborates with scholars based in Japan, United Kingdom and Pakistan. Yuichi Sameshima's co-authors include Jun Yokota, Aikou Okamoto, Y. Terashima, M Terada, Jun Yokota, Takashi Sügimura, Masayuki Shiseki, Ryo Nishikawa, Hideaki Mizoguchi and Takashi Kohno and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Biochemical and Biophysical Research Communications and International Journal of Cancer.

In The Last Decade

Yuichi Sameshima

9 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuichi Sameshima Japan	8	288	259	197	137	107	9	563
Cristina M. Contreras United States	9	175 0.6×	365 1.4×	131 0.7×	134 1.0×	56 0.5×	9	596
Kanji Kobayashi Japan	11	240 0.8×	360 1.4×	357 1.8×	218 1.6×	110 1.0×	17	772
Chandramohan S. Ishwad United States	14	158 0.5×	311 1.2×	132 0.7×	78 0.6×	35 0.3×	20	547
Masayuki Ohno Japan	11	256 0.9×	264 1.0×	74 0.4×	49 0.4×	140 1.3×	18	508
M.G. Tibiletti Italy	11	118 0.4×	142 0.5×	96 0.5×	126 0.9×	50 0.5×	25	441
Carolina Sánchez‐Estévez Spain	10	202 0.7×	361 1.4×	132 0.7×	125 0.9×	167 1.6×	11	661
Yuker Wang United States	6	171 0.6×	204 0.8×	116 0.6×	49 0.4×	145 1.4×	10	442
A. Silver United States	8	415 1.4×	345 1.3×	144 0.7×	81 0.6×	23 0.2×	9	652
Billie‐Jo Kerns United States	7	126 0.4×	109 0.4×	98 0.5×	56 0.4×	110 1.0×	8	347
Charles H. W. Horne United Kingdom	12	327 1.1×	201 0.8×	97 0.5×	109 0.8×	20 0.2×	24	613

Countries citing papers authored by Yuichi Sameshima

Since Specialization

Citations

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

Fields of papers citing papers by Yuichi Sameshima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Sameshima

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

All Works

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9 of 9 papers shown

Sameshima, Yuichi, Kentaro Yoshinaga, Masayuki Shiseki, et al.. (2010). [Factors affecting the response of thalidomide therapy for patients with multiple myeloma].. PubMed. 51(3). 189–95. 1 indexed citations

Kitagawa, Yukiko, Yuichi Sameshima, Akihiro Masuda, et al.. (2008). Isolated granulocytic sarcoma of the small intestine successfully treated with chemotherapy and bone marrow transplantation. International Journal of Hematology. 87(4). 410–413. 23 indexed citations

Shiseki, Masayuki, Takashi Kohno, Ryo Nishikawa, et al.. (1994). Frequent allelic losses on chromosomes 2q, 18q, and 22q in advanced non-small cell lung carcinoma.. PubMed. 54(21). 5643–8. 120 indexed citations

Shiseki, Masayuki, Ryo Nishikawa, Hiroshi Yamamoto, et al.. (1993). Germ-line p53 mutation is uncommon in patients with triple primary cancers. Cancer Letters. 73(1). 51–57. 19 indexed citations

Sameshima, Yuichi, Tadashi Tsukamoto, Keisei Kawa‐Ha, et al.. (1992). Detection of Novel Germ-line p53 Mutations in Diverse-Cancer-Prone Families Identifiled by Selecting Patients With Childhood Adrencortical Carcinoma. JNCI Journal of the National Cancer Institute. 84(9). 703–707. 68 indexed citations

Yamato, Kenji, et al.. (1991). Adult T‐cell leukemia: Structures and expression of the p53 gene. International Journal of Cancer. 49(6). 880–885. 37 indexed citations

Okamoto, Aikou, Yuichi Sameshima, Yukishige Yamada, et al.. (1991). Allelic loss on chromosome 17p and p53 mutations in human endometrial carcinoma of the uterus.. PubMed. 51(20). 5632–5. 98 indexed citations

Okamoto, Aikou, Yuichi Sameshima, Y. Terashima, et al.. (1991). Frequent allelic losses and mutations of the p53 gene in human ovarian cancer.. PubMed. 51(19). 5171–6. 167 indexed citations

Sameshima, Yuichi, Naoki Mori, Kumao Toyoshima, et al.. (1990). Point mutation of the p53 gene resulting in splicing inhibition in small cell lung carcinoma. Biochemical and Biophysical Research Communications. 173(2). 697–703. 30 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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