Masami Niiya

604 total citations
20 papers, 377 citations indexed

About

Masami Niiya is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Masami Niiya has authored 20 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 8 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Masami Niiya's work include Complement system in diseases (6 papers), Platelet Disorders and Treatments (3 papers) and Protease and Inhibitor Mechanisms (3 papers). Masami Niiya is often cited by papers focused on Complement system in diseases (6 papers), Platelet Disorders and Treatments (3 papers) and Protease and Inhibitor Mechanisms (3 papers). Masami Niiya collaborates with scholars based in Japan, United States and Austria. Masami Niiya's co-authors include X. Long Zheng, Dezhi Shang, Xiangjian Zheng, Mitsune Tanimoto, Kenji Niiya, Misako Shibakura, Katsuji Shinagawa, Kazuma Ikeda, Wenjing Cao and Alan W. Flake and has published in prestigious journals such as Journal of Clinical Oncology, Blood and International Journal of Cancer.

In The Last Decade

Masami Niiya

20 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masami Niiya Japan 10 191 148 94 72 57 20 377
Cécile Contin France 4 140 0.7× 151 1.0× 48 0.5× 37 0.5× 48 0.8× 6 371
Farooq Siddiqui United States 10 108 0.6× 202 1.4× 133 1.4× 51 0.7× 50 0.9× 19 453
Xingxin Li China 13 230 1.2× 308 2.1× 123 1.3× 125 1.7× 74 1.3× 49 588
Sumie Hiramatsu Japan 13 173 0.9× 47 0.3× 100 1.1× 51 0.7× 143 2.5× 37 477
F. Scheiflinger Austria 14 224 1.2× 405 2.7× 67 0.7× 180 2.5× 21 0.4× 25 594
Abdullah Hacıhanefioğlu Türkiye 11 52 0.3× 222 1.5× 124 1.3× 55 0.8× 90 1.6× 30 424
Jihua Qiu China 14 114 0.6× 314 2.1× 59 0.6× 71 1.0× 28 0.5× 22 436
Benoît Manfroi France 9 358 1.9× 103 0.7× 134 1.4× 27 0.4× 118 2.1× 13 575
Francis Bonnefoy France 15 408 2.1× 86 0.6× 152 1.6× 37 0.5× 82 1.4× 29 616
Tetsuichi Yoshizato Japan 10 116 0.6× 312 2.1× 201 2.1× 131 1.8× 37 0.6× 29 476

Countries citing papers authored by Masami Niiya

Since Specialization
Citations

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

Fields of papers citing papers by Masami Niiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masami Niiya

This figure shows the co-authorship network connecting the top 25 collaborators of Masami Niiya. A scholar is included among the top collaborators of Masami Niiya 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 Masami Niiya. Masami Niiya 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.
2.
Matsuo, Keitaro, Tomoko Kikuchi, Yoshinobu Maeda, et al.. (2009). Prediction of number of apheresis procedures necessary in healthy donors to attain minimally required peripheral blood CD34+ cells. Transfusion. 49(11). 2384–2389. 7 indexed citations
3.
Maeda, Yoshinobu, Yoshitaka Hara, Hisakazu Nishimori, et al.. (2009). Clinical outcomes of unrelated donor umbilical cord blood transplantation for 30 adults with hematological malignancies.. PubMed. 29(5). 1763–70. 3 indexed citations
4.
Ennishi, Daisuke, Yoshinobu Maeda, Masami Niiya, Katsuji Shinagawa, & Mitsune Tanimoto. (2009). Incidental Detection of Acute Lymphoblastic Leukemia on [18F]Fluorodeoxyglucose Positron Emission Tomography. Journal of Clinical Oncology. 27(36). e269–e270. 12 indexed citations
5.
Laje, Pablo, Dezhi Shang, Wenjing Cao, et al.. (2009). Correction of murine ADAMTS13 deficiency by hematopoietic progenitor cell–mediated gene therapy. Blood. 113(10). 2172–2180. 31 indexed citations
6.
Niiya, Masami, Masayuki Endo, Dezhi Shang, et al.. (2008). Correction of ADAMTS13 Deficiency by In Utero Gene Transfer of Lentiviral Vector encoding ADAMTS13 Genes. Molecular Therapy. 17(1). 34–41. 47 indexed citations
7.
8.
9.
Niiya, Masami, Masayuki Uemura, Xiangjian Zheng, et al.. (2006). Increased ADAMTS‐13 proteolytic activity in rat hepatic stellate cells upon activation in vitro and in vivo. Journal of Thrombosis and Haemostasis. 4(5). 1063–1070. 47 indexed citations
10.
Niiya, Masami, et al.. (2006). Amurubicinol-induced eotaxin-3 expression in human NCI-H69 small cell lung carcinoma cells. Oncology Reports. 15(3). 571–6. 1 indexed citations
11.
Niiya, Masami, Masayuki Endo, Philip W. Zoltick, Alan W. Flake, & X. Long Zheng. (2006). Long-Term Expression of ADAMTS13 at Therapeutic Levels in Mice by In Utero Administration of Lentiviral Vector Encoding the Human ADAMTS13 Gene.. Blood. 108(11). 3281–3281. 1 indexed citations
12.
Shang, Dezhi, Xiangjian Zheng, Masami Niiya, & X. Long Zheng. (2006). Apical sorting of ADAMTS13 in vascular endothelial cells and Madin-Darby canine kidney cells depends on the CUB domains and their association with lipid rafts. Blood. 108(7). 2207–2215. 90 indexed citations
13.
Shibakura, Misako, et al.. (2005). Induction of CXC and CC chemokines by all-trans retinoic acid in acute promyelocytic leukemia cells. Leukemia Research. 29(7). 755–759. 24 indexed citations
14.
Niiya, Masami, Masayuki Uemura, Eleanor S. Pollak, et al.. (2005). ADAMTS13 Proteolysis, Hepatic Stellate Cell Activation and Liver Fibrosis in a Rat Model.. Blood. 106(11). 689–689. 1 indexed citations
15.
Niiya, Masami, Kenji Niiya, Misako Shibakura, et al.. (2004). Involvement of ERK1/2 and p38 MAP Kinase in Doxorubicin-Induced uPA Expression in Human RC-K8 Lymphoma and NCI-H69 Small Cell Lung Carcinoma Cells. Oncology. 67(3-4). 310–319. 14 indexed citations
16.
Niiya, Masami, Kenji Niiya, Toru Kiguchi, et al.. (2003). Induction of TNF-?, uPA, IL-8 and MCP-1 by doxorubicin in human lung carcinoma cells. Cancer Chemotherapy and Pharmacology. 52(5). 391–398. 49 indexed citations
17.
Kiguchi, Toru, et al.. (2003). [Helicobacter pylori eradication based upon a drug sensitivity test effectively increased platelet count in a patient with refractory idiopathic thrombocytopenic purpura].. PubMed. 44(7). 480–2. 4 indexed citations
18.
Shibakura, Misako, Kenji Niiya, Toru Kiguchi, et al.. (2002). Induction of IL‐8 and monoclyte chemoattractant protein‐1 by doxorubicin in human small cell lung carcinoma cells. International Journal of Cancer. 103(3). 380–386. 23 indexed citations
19.
Niiya, Masami, K Niiya, Yuki Takazawa, et al.. (2002). Acquired type 3-like von Willebrand syndrome preceded full-blown systemic lupus erythematosus. Blood Coagulation & Fibrinolysis. 13(4). 361–365. 12 indexed citations
20.
Hasumura, S, Seishi Nagamori, Kiyotaka Fujise, et al.. (1989). [Combination therapy of hyperthermia and other methods in liver and bile tract cancers--evaluation of these methods using cancer cell lines in vitro].. PubMed. 16(4 Pt 2-3). 1905–12. 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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