K Ohyashiki

499 total citations
11 papers, 377 citations indexed

About

K Ohyashiki is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, K Ohyashiki has authored 11 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 6 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in K Ohyashiki's work include Acute Myeloid Leukemia Research (8 papers), Hemoglobinopathies and Related Disorders (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). K Ohyashiki is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Hemoglobinopathies and Related Disorders (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). K Ohyashiki collaborates with scholars based in Japan and United States. K Ohyashiki's co-authors include Keisuke Toyama, M. L. Cleary, Stephen P. Hunger, Masami Bessho, Kunitake Hirashima, Hiroshi Terasaki, Junko H. Ohyashiki, Akira Matsuda, Itsuro Jinnai and Hirofumi Kobayashi and has published in prestigious journals such as Genes & Development, Blood and Genes Chromosomes and Cancer.

In The Last Decade

K Ohyashiki

11 papers receiving 361 citations

Peers

K Ohyashiki

MB

HEMAT

PHEOH

GENET

IMMUN

L C Chan Hong Kong

Sarah Swerdlow United States

Darin P. O’Brien United States

Masuzu Ueda Japan

Liat Rainis Israel

Patrick Morice France

Katherine M. LaFiura United States

Danika Di Giacomo Italy

Tatsuro Matsunashi Japan

C. R. Bartram Germany

L C Chan Hong Kong

K Ohyashiki

221 ×1.1

MB

194 ×0.9

HEMAT

74 ×0.8

PHEOH

101 ×1.9

GENET

35 ×0.8

IMMUN

Citations per year, relative to K Ohyashiki K Ohyashiki (= 1×) peers L C Chan

Countries citing papers authored by K Ohyashiki

Since Specialization

Citations

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

Fields of papers citing papers by K Ohyashiki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Ohyashiki

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

All Works

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11 of 11 papers shown

1.

Yagasaki, Fumiharu, Itsuro Jinnai, Akira Matsuda, et al.. (1999). Fusion ofTEL/ETV6 to a novelACS2 in myelodysplastic syndrome and acute myelogenous leukemia with t(5;12)(q31;p13). Genes Chromosomes and Cancer. 26(3). 192–202. 74 indexed citations

2.

Yahata, Naoyuki, et al.. (1997). Chronic myelomonocytic leukemia in a patient with antiphospholipid syndrome: First case report. Leukemia Research. 21(9). 889–890. 8 indexed citations

3.

Ohyashiki, K, et al.. (1996). Pattern of Expression and Their Clinical Implications of the GATA Family, Stem Cell Leukemia Gene, and EVI1 in Leukemia and Myelodysplastic Syndromes. Leukemia & lymphoma. 23(5-6). 431–436. 16 indexed citations

4.

Ohyashiki, K, et al.. (1995). The expression pattern of erythrocyte/megakaryocyte-related transcription factors GATA-1 and the stem cell leukemia gene correlates with hematopoietic differentiation and is associated with outcome of acute myeloid leukemia. Blood. 86(8). 3173–3180. 47 indexed citations

5.

Ohyashiki, K, et al.. (1995). The expression pattern of erythrocyte/megakaryocyte-related transcription factors GATA-1 and the stem cell leukemia gene correlates with hematopoietic differentiation and is associated with outcome of acute myeloid leukemia. Blood. 86(8). 3173–3180. 3 indexed citations

6.

Ohyashiki, K, et al.. (1994). EVI1 expression associated with a 3q26 anomaly in a leukemia cell line derived from the blast crisis of chronic myeloid leukemia.. PubMed. 8(12). 2169–73. 11 indexed citations

7.

Kawakubo, Ken, K Ohyashiki, Junko H. Ohyashiki, et al.. (1993). Acute myeloid leukemia with concomitant expression of T-/B-lymphoid antigens and immunogenotypic alterations exhibiting t(7;12)(q32;q24).. PubMed. 7(6). 909–11. 2 indexed citations

8.

Hunger, Stephen P., K Ohyashiki, Keisuke Toyama, & M. L. Cleary. (1992). Hlf, a novel hepatic bZIP protein, shows altered DNA-binding properties following fusion to E2A in t(17;19) acute lymphoblastic leukemia.. Genes & Development. 6(9). 1608–1620. 195 indexed citations

9.

Ohyashiki, J H, K Ohyashiki, Tetsuzo Tauchi, et al.. (1990). Immunoglobulin and T cell receptor gene rearrangements in Philadelphia chromosome-positive leukemia: a different involvement pattern in blast crisis and acute leukemia.. PubMed. 4(8). 572–9. 9 indexed citations

10.

Ohyashiki, K, et al.. (1989). Myelodysplastic syndrome with trisomy 11 associated with polycythemia vera. American Journal of Hematology. 31(2). 122–125. 9 indexed citations

11.

Uchida, Hiroyuki, et al.. (1988). Variant t(8;18;21) translocation in acute myeloid leukemia. Cancer Genetics and Cytogenetics. 36(2). 231–232. 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.

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