Hajime Senjo

674 total citations
31 papers, 222 citations indexed

About

Hajime Senjo is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, Hajime Senjo has authored 31 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hematology, 12 papers in Oncology and 11 papers in Immunology. Recurrent topics in Hajime Senjo's work include Hematopoietic Stem Cell Transplantation (9 papers), Immune Cell Function and Interaction (7 papers) and Acute Myeloid Leukemia Research (6 papers). Hajime Senjo is often cited by papers focused on Hematopoietic Stem Cell Transplantation (9 papers), Immune Cell Function and Interaction (7 papers) and Acute Myeloid Leukemia Research (6 papers). Hajime Senjo collaborates with scholars based in Japan and United States. Hajime Senjo's co-authors include Takakazu Higuchi, Sadamu Okada, Osamu Takahashi, Daigo Hashimoto, Takanori Teshima, Shuichi Ota, Akio Mori, Kenji Hirata, Koh Izumiyama and Ryo Kikuchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

In The Last Decade

Hajime Senjo

24 papers receiving 217 citations

Peers

Hajime Senjo
Po‐Shen Ko Taiwan
Shin Young Hyun South Korea
Malini Bhole United Kingdom
Ami Patel United States
Robert M. Fox United States
Piotr Boguradzki Poland
Juan José Rodríguez‐Sevilla Spain
Sung-Nam Lim South Korea
Sirel Gurbuz United States
Kiyomi Mashima Japan
Po‐Shen Ko Taiwan
Hajime Senjo
Citations per year, relative to Hajime Senjo Hajime Senjo (= 1×) peers Po‐Shen Ko

Countries citing papers authored by Hajime Senjo

Since Specialization
Citations

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

Fields of papers citing papers by Hajime Senjo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Senjo

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Senjo. A scholar is included among the top collaborators of Hajime Senjo 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 Hajime Senjo. Hajime Senjo 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.
Hasegawa, Yuta, Daigo Hashimoto, Zixuan Zhang, et al.. (2024). GVHD targets organoid-forming bile duct stem cells in a TGF-β–dependent manner. Blood. 144(8). 904–913. 5 indexed citations
2.
Senjo, Hajime, Daigo Hashimoto, & Takanori Teshima. (2024). Calcineurin inhibitor blocks tolerance by suppressing donor T cell terminal exhaustion after allogeneic hematopoietic cell transplantation. Journal of Clinical Investigation. 134(20).
3.
Kawabori, Masahito, Kazuyoshi Yamazaki, Hajime Senjo, et al.. (2024). Intravenous Administration of Mesenchymal Stem Cell-Derived Exosome Alleviates Spinal Cord Injury by Regulating Neutrophil Extracellular Trap Formation through Exosomal miR-125a-3p. International Journal of Molecular Sciences. 25(4). 2406–2406. 27 indexed citations
4.
Hashimoto, Daigo, Keisuke Kojima, Wenyu Li, et al.. (2024). Gvhd-Induced Inflammatory Memory in Intestinal Stem Cells Enhances IFN-γ-Induced Antigen Presentation and Apoptosis of Intestinal Epithelial Cells. Blood. 144(Supplement 1). 260–260.
5.
Mori, Akio, Masahiro Onozawa, Hajime Senjo, et al.. (2023). Humoral response to mRNA-based COVID-19 vaccine and booster effect of a third dose in patients with mature T cell and NK-cell neoplasms. Annals of Hematology. 102(4). 819–827. 2 indexed citations
6.
Senjo, Hajime, Shimpei I. Kubota, Yuki Tanaka, et al.. (2023). Calcineurin inhibitor inhibits tolerance induction by suppressing terminal exhaustion of donor T cells after allo-HCT. Blood. 142(5). 477–492. 16 indexed citations
7.
Mori, Akio, Masahiro Onozawa, Hajime Senjo, et al.. (2023). Booster effect of a third mRNA‐based COVID‐19 vaccine dose in patients with myeloid malignancies. Cancer Medicine. 12(16). 16881–16888. 2 indexed citations
8.
Goto, Hideki, Toshio Heike, Nobuharu Fujii, et al.. (2023). Safety and efficacy of tisagenlecleucel in patients with relapsed or refractory B-cell lymphoma: the first real-world evidence in Japan. International Journal of Clinical Oncology. 28(6). 816–826. 12 indexed citations
9.
Hashimoto, Daigo, Wenyu Li, Hajime Senjo, et al.. (2023). Ferroptosis Inhibition Generates TCF-1 + CAR-T Cells with Enhanced Persistence and Cytotoxicity. Blood. 142(Supplement 1). 97–97. 3 indexed citations
10.
Zhang, Zixuan, Yuta Hasegawa, Daigo Hashimoto, et al.. (2022). Gilteritinib enhances graft-versus-leukemia effects against FLT3-ITD mutant leukemia after allogeneic hematopoietic stem cell transplantation. Bone Marrow Transplantation. 57(5). 775–780. 20 indexed citations
11.
Mori, Akio, Masahiro Onozawa, Hajime Senjo, et al.. (2022). Humoral response to mRNA‐based COVID‐19 vaccine in patients with immune thrombocytopenia. British Journal of Haematology. 200(6). 717–721.
12.
Hashimoto, Daigo, Shuichiro Takahashi, Yu Shimizu, et al.. (2022). Reactive granulopoiesis depends on T-cell production of IL-17A and neutropenia-associated alteration of gut microbiota. Proceedings of the National Academy of Sciences. 119(48). e2211230119–e2211230119. 7 indexed citations
13.
Senjo, Hajime, Masahiro Onozawa, Shota Yokoyama, et al.. (2022). High CRP-albumin ratio predicts poor prognosis in transplant ineligible elderly patients with newly diagnosed acute myeloid leukemia. Scientific Reports. 12(1). 8885–8885. 10 indexed citations
14.
Onozawa, Masahiro, Shota Yokoyama, Hajime Senjo, et al.. (2022). Dynamic change in peripheral blood WT1 mRNA levels within three cycles of azacitidine predict treatment response in patients with high-risk myelodysplastic syndromes. Annals of Hematology. 101(6). 1239–1250.
15.
Takahashi, Shuichiro, Masahiro Onozawa, Makoto Ito, et al.. (2020). Salvage Transplantation with Cord Blood for Graft Rejection of Peripheral Blood Stem Cells due to Donor Specific Antibody. PubMed. 3(3). 74–77. 2 indexed citations
16.
Senjo, Hajime, Kenji Hirata, Koh Izumiyama, et al.. (2020). High metabolic heterogeneity on baseline 18FDG-PET/CT scan as a poor prognostic factor for newly diagnosed diffuse large B-cell lymphoma. Blood Advances. 4(10). 2286–2296. 37 indexed citations
17.
Senjo, Hajime, Masahiro Onozawa, Shota Yokoyama, et al.. (2020). A novel nutritional index “simplified CONUT” and the disease risk index independently stratify prognosis of elderly patients with acute myeloid leukemia. Scientific Reports. 10(1). 19400–19400. 8 indexed citations
18.
19.
Senjo, Hajime, Masahiro Onozawa, Shota Yokoyama, et al.. (2019). Modified Conut Score Can Predict Prognosis in Elderly Patients with Newly Diagnosed Acute Myeloid Leukemia. Blood. 134(Supplement_1). 3854–3854.
20.
Saito, Makoto, Hajime Senjo, Minoru Kanaya, et al.. (2018). Acquired hemophilia A developing cerebral infarction 36 days after the frequent administration of bypass hemostatic agents. Hematology Reports. 10(2). 7453–7453.

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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