Taiju Utsugisawa

1.4k total citations
39 papers, 1.0k citations indexed

About

Taiju Utsugisawa is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Taiju Utsugisawa has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Hematology and 7 papers in Oncology. Recurrent topics in Taiju Utsugisawa's work include Erythrocyte Function and Pathophysiology (7 papers), Neonatal Health and Biochemistry (6 papers) and RNA modifications and cancer (6 papers). Taiju Utsugisawa is often cited by papers focused on Erythrocyte Function and Pathophysiology (7 papers), Neonatal Health and Biochemistry (6 papers) and RNA modifications and cancer (6 papers). Taiju Utsugisawa collaborates with scholars based in Japan, United States and Sweden. Taiju Utsugisawa's co-authors include Yinyin Huang, Takatoshi Ishiko, Donald Küfe, Shuji Nakada, Surender Kharbanda, Zhi-Min Yuan, Ralph R. Weichselbaum, Stefan Karlsson, Rong Wang and Ralph Weichselbaum and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Taiju Utsugisawa

35 papers receiving 993 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taiju Utsugisawa Japan 15 772 285 188 106 87 39 1.0k
Sudhir Rao United States 11 626 0.8× 257 0.9× 254 1.4× 73 0.7× 116 1.3× 14 1.1k
Alwin Kraemer Germany 12 485 0.6× 290 1.0× 241 1.3× 170 1.6× 119 1.4× 22 899
Allen Coleman United States 15 840 1.1× 473 1.7× 169 0.9× 153 1.4× 72 0.8× 23 1.3k
Sanjai Sharma United States 16 472 0.6× 200 0.7× 259 1.4× 92 0.9× 111 1.3× 24 748
Frédéric Barabé Canada 20 732 0.9× 286 1.0× 416 2.2× 132 1.2× 116 1.3× 38 1.3k
Ferdinand Kappes Germany 23 1.2k 1.5× 411 1.4× 158 0.8× 87 0.8× 30 0.3× 38 1.4k
Kim L. Rice United States 12 550 0.7× 112 0.4× 254 1.4× 115 1.1× 62 0.7× 17 777
Carolina Abramovich Canada 15 679 0.9× 200 0.7× 262 1.4× 86 0.8× 46 0.5× 15 949
Yasuhiko Kamikubo Japan 16 656 0.8× 156 0.5× 448 2.4× 118 1.1× 177 2.0× 43 1.0k
Jeffrey R. Shearstone United States 15 644 0.8× 85 0.3× 145 0.8× 108 1.0× 139 1.6× 27 1.0k

Countries citing papers authored by Taiju Utsugisawa

Since Specialization
Citations

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

Fields of papers citing papers by Taiju Utsugisawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiju Utsugisawa

This figure shows the co-authorship network connecting the top 25 collaborators of Taiju Utsugisawa. A scholar is included among the top collaborators of Taiju Utsugisawa 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 Taiju Utsugisawa. Taiju Utsugisawa 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.
Utsugisawa, Taiju & Hitoshi Kanno. (2022). Hemoglobinopathies. Japanese Journal of Transfusion and Cell Therapy. 68(1). 3–11. 1 indexed citations
2.
Ishitani, Ken, Tetsuya Ito, Hitoshi Sugiyama, et al.. (2021). Clinical usefulness of cell-free and concentrated ascites reinfusion therapy (CART) in combination with chemotherapy for malignant ascites: a post-marketing surveillance study. International Journal of Clinical Oncology. 26(6). 1130–1138. 6 indexed citations
3.
Utsugisawa, Taiju, et al.. (2017). The Flow Cytometric Osmotic Fragility Test Is an Effective Screening Method for Dehydrated Hereditary Stomatocytosis. Blood. 130(Suppl_1). 929–929. 4 indexed citations
4.
Arashiki, Nobuto, Yuichi Takakuwa, Narla Mohandas, et al.. (2016). ATP11C is a major flippase in human erythrocytes and its defect causes congenital hemolytic anemia. Haematologica. 101(5). 559–565. 68 indexed citations
5.
Yamamoto, Toshiyuki, Taiju Utsugisawa, Takako Aoki, et al.. (2016). The Novel Missense Mutation of GATA1 Caused Red Cell Adenosine Deaminase Overproduction Associated with Congenital Hemolytic Anemia. Blood. 128(22). 400–400. 1 indexed citations
6.
Utsugisawa, Taiju, Tsutomu Toki, Takako Aoki, et al.. (2016). Erythrocyte glutathione is a novel biomarker of Diamond-Blackfan anemia. Blood Cells Molecules and Diseases. 59. 31–36. 5 indexed citations
7.
Matsuda, Kazuki, et al.. (2013). TOWARDS THE ESTABLISHMENT OF A SAFE CELL-FREE AND CONCENTRATED ASCITES REINFUSION THERAPY. Japanese Journal of Transfusion and Cell Therapy. 59(3). 470–475. 3 indexed citations
8.
Utsugisawa, Taiju, et al.. (2005). A Road Map Toward Defining the Role of Smad Signaling in Hematopoietic Stem Cells. Stem Cells. 24(4). 1128–1136. 36 indexed citations
9.
Utsugisawa, Kimiaki, et al.. (2005). Candesartan prevents angiotensin II-induced facilitation of hypoxic neuronal damage through PKCδ inhibition. Molecular Brain Research. 135(1-2). 134–140. 1 indexed citations
10.
Uchiyama, Michihiro, Chihaya Maesawa, Akiko Yashima‐Abo, et al.. (2004). Short consensus probes with 3′-minor groove binder of the immunoglobulin heavy-chain gene for real-time quantitative PCR in B-cell non-Hodgkin lymphomas. Laboratory Investigation. 84(7). 932–936. 5 indexed citations
11.
Blank, Ulrika, Jonas Larsson, Taiju Utsugisawa, et al.. (2004). Hematopoietic Stem Cells Overexpressing Smad7 Exhibit Increased Self-Renewal and Regeneration Capacity in Vivo.. Blood. 104(11). 561–561. 2 indexed citations
12.
13.
Uchiyama, Michihiro, Chihaya Maesawa, Takashi Satoh, et al.. (2003). Development of consensus fluorogenically labeled probes of the immunoglobulin heavy‐chain gene for detecting minimal residual disease in B‐cell non‐Hodgkin lymphomas. Cancer Science. 94(10). 877–885. 10 indexed citations
14.
Itoh, Shigeki, Takeshi Sugawara, Yoko Ono, et al.. (2001). Clonal evolution of blasts in an elderly patient with CD56+ relapsed acute promyelocytic leukemia. American Journal of Hematology. 69(1). 59–63. 4 indexed citations
15.
Yuan, Zhi-Min, Yinyin Huang, Takatoshi Ishiko, et al.. (1999). Function for p300 and not CBP in the apoptotic response to DNA damage. Oncogene. 18(41). 5714–5717. 48 indexed citations
16.
Yuan, Zhi-Min, Yinyin Huang, Takatoshi Ishiko, et al.. (1999). Role for p300 in Stabilization of p53 in the Response to DNA Damage. Journal of Biological Chemistry. 274(4). 1883–1886. 83 indexed citations
17.
Huang, Yinyin, Takatoshi Ishiko, Shinichiro Nakada, et al.. (1997). Role for E2F in DNA damage-induced entry of cells into S phase.. PubMed. 57(17). 3640–3. 44 indexed citations
18.
Huang, Yinyin, Zhi-Min Yuan, Takatoshi Ishiko, et al.. (1997). Pro-apoptotic effect of the c-Abl tyrosine kinase in the cellular response to 1-β-D-arabinofuranosylcytosine. Oncogene. 15(16). 1947–1952. 35 indexed citations
19.
20.
Utsugisawa, Taiju, et al.. (1995). Tetrasomy of Philadelphia chromosome in myeloblastic crisis of chronic myelogenous leukemia.. PubMed. 61(4). 229–30. 1 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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