Seiko Yamada

681 total citations
20 papers, 474 citations indexed

About

Seiko Yamada is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Seiko Yamada has authored 20 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Hematology. Recurrent topics in Seiko Yamada's work include Acute Myeloid Leukemia Research (3 papers), Bacteriophages and microbial interactions (3 papers) and Cancer survivorship and care (3 papers). Seiko Yamada is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Bacteriophages and microbial interactions (3 papers) and Cancer survivorship and care (3 papers). Seiko Yamada collaborates with scholars based in Japan, United States and Germany. Seiko Yamada's co-authors include Thomas Krausz, Hilary A. Kenny, Ernst Lengyel, Kenji Kohno, Yuki Ishiwata‐Kimata, Yukio Kimata, Shigeki Takeda, Tamara L. Lotan, Kay F. Macleod and Carrie Rinker‐Schaeffer and has published in prestigious journals such as Journal of Clinical Oncology, Biochemistry and Cancer Research.

In The Last Decade

Seiko Yamada

16 papers receiving 471 citations

Peers

Seiko Yamada
T L Timme United States
Eric Routhier United States
Jess D. Hebert United States
Martina Boshell United Kingdom
Ana Tavares Portugal
T L Timme United States
Seiko Yamada
Citations per year, relative to Seiko Yamada Seiko Yamada (= 1×) peers T L Timme

Countries citing papers authored by Seiko Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Seiko Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiko Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Seiko Yamada. A scholar is included among the top collaborators of Seiko 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 Seiko Yamada. Seiko Yamada 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
2.
Oyama, Naoki, et al.. (2023). <i>JAK2</i> V617F Mutation and Large Cerebral Artery Disease in Patients with Myeloproliferative Neoplasms. Journal of Atherosclerosis and Thrombosis. 30(12). 1917–1926.
3.
Hlubocky, Fay J., Christopher K. Daugherty, Karen M. Young, et al.. (2022). Utilization of an Electronic Patient-Reported Outcome Platform to Evaluate the Psychosocial and Quality-of-Life Experience Among a Community Sample of Ovarian Cancer Survivors. JCO Clinical Cancer Informatics. 6(6). e2200035–e2200035. 5 indexed citations
4.
Kondo, Toshinori, Taizo Tasaka, Seiko Yamada, et al.. (2020). Successful treatment with ABL tyrosine kinase inhibitor for patients with acute myeloid leukemia with BCR-ABL1. Leukemia Research Reports. 15. 100233–100233. 3 indexed citations
5.
Hlubocky, Fay J., Karen Young, Kristen Wroblewski, et al.. (2020). An innovative, internet-based assessment of financial toxicity (FT), psychological distress, and quality of life (QOL) in ovarian cancer survivors (OCS).. Journal of Clinical Oncology. 38(15_suppl). e24168–e24168. 1 indexed citations
6.
Kondo, Toshinori, et al.. (2020). Jumping translocations of 1q in donor cell‑derived myelodysplastic syndrome after cord blood transplantation: Case report and review of the literature. Molecular and Clinical Oncology. 12(4). 365–373. 2 indexed citations
8.
Yano, Hiromi, et al.. (2014). A Case of Diabetic Foot Syndrome Successfully Treated with Combination Kampo Medicine. Kampo Medicine. 65(1). 13–22.
9.
Lindau, Stacy Tessler, et al.. (2013). Perceived versus measured functional vaginal capacity in cancer patients with sexual function concerns.. Journal of Clinical Oncology. 31(31_suppl). 170–170. 2 indexed citations
10.
Abramsohn, Emily, et al.. (2013). Perceived versus measured functional vaginal capacity in cancer patients with sexual function concerns.. Journal of Clinical Oncology. 31(15_suppl). 9528–9528. 3 indexed citations
11.
Yamashita, Eiki, Atsushi Nakagawa, Junichi Takahashi, et al.. (2011). The host-binding domain of the P2 phage tail spike reveals a trimeric iron-binding structure. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 67(8). 837–841. 23 indexed citations
12.
Yamada, Seiko, et al.. (2010). The C-terminal domain is sufficient for host-binding activity of the Mu phage tail-spike protein. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(9). 1738–1742. 9 indexed citations
13.
Murayama, Masanori A., Takashi Onodera, Seiko Yamada, et al.. (2009). Observation of the Membrane Binding Activity and Domain Structure of gpV, Which Comprises the Tail Spike of Bacteriophage P2. Biochemistry. 48(42). 10129–10135. 13 indexed citations
14.
Taylor, Jennifer, Russell Z. Szmulewitz, Tamara L. Lotan, et al.. (2008). New paradigms for the function of JNKK1/MKK4 in controlling growth of disseminated cancer cells. Cancer Letters. 272(1). 12–22. 19 indexed citations
15.
Lotan, Tamara L., Jonathan A. Hickson, Jeffrey S. Souris, et al.. (2008). c-Jun NH2-Terminal Kinase Activating Kinase 1/Mitogen-Activated Protein Kinase Kinase 4–Mediated Inhibition of SKOV3ip.1 Ovarian Cancer Metastasis Involves Growth Arrest and p21 Up-regulation. Cancer Research. 68(7). 2166–2175. 28 indexed citations
16.
Lotan, Tamara L., Katrin Tefs, Volker Schuster, et al.. (2007). Inherited plasminogen deficiency presenting as ligneous vaginitis: a case report with molecular correlation and review of the literature. Human Pathology. 38(10). 1569–1575. 9 indexed citations
17.
Kenny, Hilary A., Thomas Krausz, Seiko Yamada, & Ernst Lengyel. (2007). Use of a novel 3D culture model to elucidate the role of mesothelial cells, fibroblasts and extra‐cellular matrices on adhesion and invasion of ovarian cancer cells to the omentum. International Journal of Cancer. 121(7). 1463–1472. 209 indexed citations
18.
Yamada, Seiko, Tetsuo Yamaguchi, Akira Hosoda, Takao Iwawaki, & Kenji Kohno. (2006). Regulation of human STARD4 gene expression under endoplasmic reticulum stress. Biochemical and Biophysical Research Communications. 343(4). 1079–1085. 16 indexed citations
19.
Kimata, Yukio, Yuki Ishiwata‐Kimata, Seiko Yamada, & Kenji Kohno. (2005). Yeast unfolded protein response pathway regulates expression of genes for anti‐oxidative stress and for cell surface proteins. Genes to Cells. 11(1). 59–69. 119 indexed citations
20.
Tsuchida, Rika, Jun Miyauchi, Lisong Shen, et al.. (2002). Expression of Cyclin‐dependent Kinase Inhibitor p27/Kipl and AP‐1 Coactivator p38/Jabl Correlates with Differentiation of Embryonal Rhabdomyosarcoma. Japanese Journal of Cancer Research. 93(9). 1000–1006. 13 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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