Kimie Kondo

1.2k total citations
22 papers, 793 citations indexed

About

Kimie Kondo is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Kimie Kondo has authored 22 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Hematology. Recurrent topics in Kimie Kondo's work include Epigenetics and DNA Methylation (7 papers), Acute Myeloid Leukemia Research (5 papers) and Drug Transport and Resistance Mechanisms (3 papers). Kimie Kondo is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Acute Myeloid Leukemia Research (5 papers) and Drug Transport and Resistance Mechanisms (3 papers). Kimie Kondo collaborates with scholars based in United States, Japan and Australia. Kimie Kondo's co-authors include Marcos R. Estecio, S. Harigae, Jaroslav Jelı́nek, Satoshi Osawa, Aritoshi Iida, Woonbok Chung, Jean‐Pierre J. Issa, C. Mishima, A. Sekine and Hagop M. Kantarjian and has published in prestigious journals such as Blood, Molecular Cell and Gastroenterology.

In The Last Decade

Kimie Kondo

22 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimie Kondo United States 15 484 259 149 127 106 22 793
Nicholas Davies United Kingdom 15 584 1.2× 298 1.2× 86 0.6× 117 0.9× 77 0.7× 25 1000
Zhijie Xiao China 18 569 1.2× 315 1.2× 53 0.4× 125 1.0× 69 0.7× 37 992
Susan Walther United States 11 245 0.5× 272 1.1× 45 0.3× 77 0.6× 64 0.6× 17 693
Vanessa S. Silveira Brazil 16 430 0.9× 117 0.5× 98 0.7× 102 0.8× 45 0.4× 32 648
Olga Ujhelly Hungary 10 400 0.8× 514 2.0× 95 0.6× 31 0.2× 78 0.7× 15 759
N. Barry Elkind Hungary 13 572 1.2× 571 2.2× 53 0.4× 64 0.5× 139 1.3× 14 910
Mark Rupar United States 11 367 0.8× 226 0.9× 105 0.7× 50 0.4× 92 0.9× 22 669
Amy de Haar-Holleman Netherlands 8 679 1.4× 188 0.7× 235 1.6× 261 2.1× 25 0.2× 14 1.1k
Shashirekha Shetty United States 10 584 1.2× 214 0.8× 115 0.8× 269 2.1× 29 0.3× 31 856
Saara Aittomäki Finland 15 435 0.9× 352 1.4× 33 0.2× 139 1.1× 109 1.0× 25 966

Countries citing papers authored by Kimie Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Kimie Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimie Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Kimie Kondo. A scholar is included among the top collaborators of Kimie Kondo 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 Kimie Kondo. Kimie Kondo 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
1.
Chen, Qin, Swanand Hardikar, Kimie Kondo, et al.. (2025). GSK-3484862, a DNMT1 degrader, promotes DNMT3B expression in lung cancer cells. NAR Cancer. 7(2). zcaf018–zcaf018. 1 indexed citations
2.
DiNardo, Courtney D., Hannah C. Beird, Marcos R. Estecio, et al.. (2020). Germline DNMT3A mutation in familial acute myeloid leukaemia. Epigenetics. 16(5). 567–576. 7 indexed citations
3.
Gagliardi, Maria, Jihyun Park, Xuemei Xie, et al.. (2020). Differential functions of ERK1 and ERK2 in lung metastasis processes in triple-negative breast cancer. Scientific Reports. 10(1). 8537–8537. 28 indexed citations
4.
Kondo, Kimie, et al.. (2016). Unmasking novel loci for internal phosphorus utilization efficiency in rice germplasm through Genome-Wide Association Analysis. 2015. 37. 2 indexed citations
5.
Bartholomeusz, Chandra, Xuemei Xie, Kimie Kondo, et al.. (2015). MEK Inhibitor Selumetinib (AZD6244; ARRY-142886) Prevents Lung Metastasis in a Triple-Negative Breast Cancer Xenograft Model. Molecular Cancer Therapeutics. 14(12). 2773–2781. 59 indexed citations
6.
Kai, Kazuharu, Kimie Kondo, Xiaoping Wang, et al.. (2015). Antitumor Activity of KW-2450 against Triple-Negative Breast Cancer by Inhibiting Aurora A and B Kinases. Molecular Cancer Therapeutics. 14(12). 2687–2699. 17 indexed citations
7.
Estecio, Marcos R., Carlos E. Bueso‐Ramos, Courtney D. DiNardo, et al.. (2015). RUNX3 promoter hypermethylation is frequent in leukaemia cell lines and associated with acute myeloid leukaemia inv(16) subtype. British Journal of Haematology. 169(3). 344–351. 21 indexed citations
8.
Jelı́nek, Jaroslav, Vazganush Gharibyan, Marcos R. Estecio, et al.. (2011). Aberrant DNA Methylation Is Associated with Disease Progression, Resistance to Imatinib and Shortened Survival in Chronic Myelogenous Leukemia. PLoS ONE. 6(7). e22110–e22110. 90 indexed citations
9.
Konishi, Kazuo, Yoshiyuki Watanabe, Lanlan Shen, et al.. (2011). DNA Methylation Profiles of Primary Colorectal Carcinoma and Matched Liver Metastasis. PLoS ONE. 6(11). e27889–e27889. 29 indexed citations
10.
Bartholomeusz, Chandra, Tetsuro Oishi, Hitomi Saso, et al.. (2011). MEK1/2 Inhibitor Selumetinib (AZD6244) Inhibits Growth of Ovarian Clear Cell Carcinoma in a PEA-15–Dependent Manner in a Mouse Xenograft Model. Molecular Cancer Therapeutics. 11(2). 360–369. 23 indexed citations
11.
Watanabe, Yoshiyuki, Hyun Soo Kim, Ryan Castoro, et al.. (2009). Sensitive and Specific Detection of Early Gastric Cancer with DNA Methylation Analysis of Gastric Washes. Gastroenterology. 136(7). 2149–2158. 106 indexed citations
12.
Kroeger, Heike, Jaroslav Jelı́nek, Marcos R. Estecio, et al.. (2008). Aberrant CpG island methylation in acute myeloid leukemia is accentuated at relapse. Blood. 112(4). 1366–1373. 125 indexed citations
13.
Jelı́nek, Jaroslav, Marcos R. Estecio, Kimie Kondo, et al.. (2007). Classifying Leukemias Based on Epigenetic Alterations.. Blood. 110(11). 2123–2123. 1 indexed citations
14.
Hoshino, Akemi, Satoko Matsumura, Kimie Kondo, John A. Hirst, & Hodaka Fujii. (2004). Inducible Translocation Trap. Molecular Cell. 15(1). 153–159. 20 indexed citations
15.
Iida, Aritoshi, Susumu Saito, A. Sekine, et al.. (2002). Catalog of 86 single-nucleotide polymorphisms (SNPs) in three uridine diphosphate glycosyltransferase genes: UGT2A1, UGT2B15, and UGT8. Journal of Human Genetics. 47(10). 505–510. 24 indexed citations
17.
Iida, Aritoshi, Susumu Saito, A. Sekine, et al.. (2002). Catalog of 77 single-nucleotide polymorphisms (SNPs) in the carbohydrate sulfotransferase 1 (CHST1) and carbohydrate sulfotransferase 3 (CHST3) genes. Journal of Human Genetics. 47(1). 14–19. 15 indexed citations
19.
Iida, Aritoshi, Shigeru Saito, Akihiro Sekine, et al.. (2001). High-density single-nucleotide polymorphism (SNP) map of the 150-kb region corresponding to the human ATP-binding cassette transporter A1 (ABCA1) gene. Journal of Human Genetics. 46(9). 522–528. 28 indexed citations
20.
Harada, Mutsuo, et al.. (1982). [Cryopreservation of hemopoietic stem cells].. PubMed. 23(10). 1632–5. 4 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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