Asaka Kondo

510 total citations
8 papers, 435 citations indexed

About

Asaka Kondo is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Asaka Kondo has authored 8 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Asaka Kondo's work include Acute Myeloid Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (2 papers) and Bone and Joint Diseases (1 paper). Asaka Kondo is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (2 papers) and Bone and Joint Diseases (1 paper). Asaka Kondo collaborates with scholars based in Japan, United States and Austria. Asaka Kondo's co-authors include Hideto Tamura, Kíyoyuki Ogata, Eiji Shinya, Hidemi Takahashi, Koji Tamada, Taishi Yamashita, Kazuo Dan, Lieping Chen, Namiko Okuyama and Takashi Tsuji and has published in prestigious journals such as Blood, Clinical Cancer Research and Leukemia.

In The Last Decade

Asaka Kondo

8 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asaka Kondo Japan	6	261	242	208	113	34	8	435
Shihong Yang Australia	10	180 0.7×	254 1.0×	220 1.1×	105 0.9×	22 0.6×	21	403
James Favaloro Australia	9	203 0.8×	260 1.1×	332 1.6×	118 1.0×	30 0.9×	18	500
Simon Hallam United Kingdom	9	161 0.6×	122 0.5×	164 0.8×	179 1.6×	52 1.5×	23	400
Catherine Spier United States	8	168 0.6×	150 0.6×	169 0.8×	109 1.0×	57 1.7×	10	384
Kyle McFarland United States	6	188 0.7×	159 0.7×	258 1.2×	103 0.9×	61 1.8×	8	400
Sue Corringham United States	10	364 1.4×	255 1.1×	214 1.0×	69 0.6×	57 1.7×	25	554
Rimke Oostvogels Netherlands	11	159 0.6×	254 1.0×	90 0.4×	73 0.6×	21 0.6×	24	369
Nicholas M. Fisher United States	7	165 0.6×	122 0.5×	279 1.3×	157 1.4×	41 1.2×	14	411
Yoshiaki Kuroda Japan	12	161 0.6×	71 0.3×	222 1.1×	204 1.8×	51 1.5×	36	403
A M Huelskamp United States	8	177 0.7×	101 0.4×	253 1.2×	48 0.4×	36 1.1×	10	362

Countries citing papers authored by Asaka Kondo

Since Specialization

Citations

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

Fields of papers citing papers by Asaka Kondo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asaka Kondo

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Okuyama, Namiko, Wolfgang R. Sperr, Sietske Bakker, et al.. (2013). Prognosis of acute myeloid leukemia transformed from myelodysplastic syndromes: A multicenter retrospective study. Leukemia Research. 37(8). 862–867. 11 indexed citations

Tamura, Hideto, Mariko Ishibashi, Namiko Okuyama, et al.. (2013). CD7 Expression On Blasts Of Myelodysplastic Syndromes Is Associated With Apoptosis Resistance With Decreased Expression Of The Proapoptotic Protein Bad and An Independent Unfavorable Prognostic Factor Together With The Revised IPSS Score In Patients. Blood. 122(21). 2799–2799. 1 indexed citations

Tamura, Hideto, Mariko Ishibashi, Takashi Yamashita, et al.. (2012). Marrow stromal cells induce B7-H1 expression on myeloma cells, generating aggressive characteristics in multiple myeloma. Leukemia. 27(2). 464–472. 191 indexed citations

Tamura, Hideto, Kazuo Dan, Norio Yokose, et al.. (2010). Prognostic significance of WT1 mRNA and anti-WT1 antibody levels in peripheral blood in patients with myelodysplastic syndromes. Leukemia Research. 34(8). 986–990. 21 indexed citations

Kondo, Asaka, Taishi Yamashita, Hideto Tamura, et al.. (2010). Interferon-γ and tumor necrosis factor-α induce an immunoinhibitory molecule, B7-H1, via nuclear factor-κB activation in blasts in myelodysplastic syndromes. Blood. 116(7). 1124–1131. 173 indexed citations

Yamashita, Taishi, Hideto Tamura, Eiji Shinya, et al.. (2009). Functional B7.2 and B7-H2 Molecules on Myeloma Cells Are Associated with a Growth Advantage. Clinical Cancer Research. 15(3). 770–777. 27 indexed citations

Tamura, Hideto, Kíyoyuki Ogata, Asaka Kondo, et al.. (2007). [Double balloon endoscopy as a useful tool for the diagnosis and treatment of four cases of primary small intestinal lymphoma].. PubMed. 48(6). 510–3. 4 indexed citations

Tamura, Hideto, Taishi Yamashita, Chikako Sato, et al.. (2007). Pure White Cell Aplasia: Report of the First Case Associated with Primary Biliary Cirrhosis. International Journal of Hematology. 85(2). 97–100. 7 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