K Yamamoto

1.2k total citations · 1 hit paper
14 papers, 1.0k citations indexed

About

K Yamamoto is a scholar working on Oncology, Hematology and Surgery. According to data from OpenAlex, K Yamamoto has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Hematology and 3 papers in Surgery. Recurrent topics in K Yamamoto's work include Cytokine Signaling Pathways and Interactions (3 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). K Yamamoto is often cited by papers focused on Cytokine Signaling Pathways and Interactions (3 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). K Yamamoto collaborates with scholars based in Japan, United States and Russia. K Yamamoto's co-authors include Olli Silvennoinen, Frederick W. Quelle, Bruce A. Witthuhn, J N Ihle, James N. Ihle, N G Copeland, N.A. Jenkins, William E. Thierfelder, Debra J. Gilbert and Brent L. Kreider and has published in prestigious journals such as Blood, Annual Review of Immunology and Molecular and Cellular Biology.

In The Last Decade

K Yamamoto

13 papers receiving 980 citations

Hit Papers

Signaling Through the Hem... 1995 2026 2005 2015 1995 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K Yamamoto 534 429 318 208 117 14 1.0k
Satsuki Iwase 543 1.0× 383 0.9× 595 1.9× 244 1.2× 74 0.6× 37 1.2k
Trevor Blake 596 1.1× 548 1.3× 338 1.1× 92 0.4× 140 1.2× 16 1.0k
P. Varlet 369 0.7× 262 0.6× 453 1.4× 165 0.8× 90 0.8× 11 918
Dale Cary 549 1.0× 454 1.1× 317 1.0× 53 0.3× 109 0.9× 12 877
Lu Zy 459 0.9× 220 0.5× 390 1.2× 543 2.6× 26 0.2× 12 912
Makoto Ichiba 786 1.5× 420 1.0× 504 1.6× 62 0.3× 95 0.8× 11 1.2k
Steven Rakar 760 1.4× 558 1.3× 475 1.5× 40 0.2× 159 1.4× 17 1.2k
Jin Hong Liu 437 0.8× 689 1.6× 437 1.4× 110 0.5× 42 0.4× 15 1.3k
R Bataille 372 0.7× 219 0.5× 282 0.9× 371 1.8× 18 0.2× 13 707
Seong Hoe Park 350 0.7× 612 1.4× 373 1.2× 74 0.4× 14 0.1× 62 1.4k

Countries citing papers authored by K Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by K Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Yamamoto

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

All Works

14 of 14 papers shown
2.
Nakamura, Kazuyo, K Yamamoto, Mariko Kitajima, et al.. (2024). Denosumab-induced hypocalcemia in patients with solid tumors and renal dysfunction: a multicenter, retrospective, observational study. BMC Cancer. 24(1). 218–218. 4 indexed citations
3.
Takano, Kenichi, et al.. (2023). New insights into chronic rhinosinusitis associated with IgG4-related disease. Auris Nasus Larynx. 51(2). 356–360. 2 indexed citations
5.
Sakai, Rika, Ken Ohmachi, Fumiaki Sano, et al.. (2019). Bendamustine-120 plus rituximab therapy for relapsed or refractory follicular lymphoma: a multicenter phase II study. Annals of Hematology. 98(9). 2131–2138. 3 indexed citations
6.
Yamamoto, K, et al.. (1997). cDNA cloning, expression and chromosome mapping of the human STAT4 gene: both STAT4 and STAT1 genes are mapped to 2q32.2→q32.3. Cytogenetic and Genome Research. 77(3-4). 207–210. 32 indexed citations
7.
Komatsu, H., et al.. (1996). Efficacy of interferon in treating chronic hepatitis C in children with a history of acute leukemia. Blood. 87(10). 4072–4075. 26 indexed citations
8.
Kagami, Yoshitoyo, K Yamamoto, Toshiaki Segawa, et al.. (1996). Identification of MLL and chimeric MLL gene products involved in 11q23 translocation and possible mechanisms of leukemogenesis by MLL truncation.. PubMed. 13(9). 1945–53. 28 indexed citations
9.
Ihle, J N, Bruce A. Witthuhn, Frederick W. Quelle, K Yamamoto, & Olli Silvennoinen. (1995). Signaling Through the Hematopoietic Cytokine Receptors. Annual Review of Immunology. 13(1). 369–398. 539 indexed citations breakdown →
10.
Yamamoto, K, Frederick W. Quelle, William E. Thierfelder, et al.. (1994). Stat4, a novel gamma interferon activation site-binding protein expressed in early myeloid differentiation.. Molecular and Cellular Biology. 14(7). 4342–4349. 198 indexed citations
11.
Iida, Shinsuke, M Seto, K Yamamoto, et al.. (1993). MLLT3 gene on 9p22 involved in t(9;11) leukemia encodes a serine/proline rich protein homologous to MLLT1 on 19p13.. PubMed. 8(11). 3085–92. 73 indexed citations
14.
Hayashi, Yoshitaka, Yasuki Habu, Ryoji Hanada, et al.. (1986). [Acute megakaryoblastic leukemia in Down's syndrome following refractory anemia with excess of blasts].. PubMed. 27(9). 1650–5. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026