Masami Niiya

28 total papers · 603 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, Philip W. Zoltick, Toru Kiguchi and Wenjing Cao 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Masami Niiya 191 148 94 72 57 20 377
Alexandra Kouraklis‐Symeonidis 116 0.6× 213 1.4× 103 1.1× 98 1.4× 50 0.9× 24 393
Bukowski Rm 239 1.3× 165 1.1× 48 0.5× 75 1.0× 111 1.9× 18 430
Zoltán Doleschall 167 0.9× 100 0.7× 118 1.3× 60 0.8× 26 0.5× 20 356
Chiara Vendramin 133 0.7× 95 0.6× 64 0.7× 206 2.9× 62 1.1× 19 377
Akitsugu Ojima 245 1.3× 133 0.9× 53 0.6× 54 0.8× 16 0.3× 22 397
Jihua Qiu 113 0.6× 306 2.1× 57 0.6× 71 1.0× 28 0.5× 21 426
Shinkichi Yokoyama 123 0.6× 111 0.8× 108 1.1× 32 0.4× 48 0.8× 22 371
Shanrun Liu 160 0.8× 43 0.3× 144 1.5× 39 0.5× 47 0.8× 21 376
Zhong‐Shi Lyu 73 0.4× 142 1.0× 144 1.5× 56 0.8× 43 0.8× 27 363
William Larry Gluck 154 0.8× 66 0.4× 111 1.2× 68 0.9× 172 3.0× 24 406

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

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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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