Masaaki Terashima

88 total papers · 1.7k total citations
72 papers, 1.4k citations indexed

About

Masaaki Terashima is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Masaaki Terashima has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Oncology. Recurrent topics in Masaaki Terashima's work include Protein Hydrolysis and Bioactive Peptides (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Masaaki Terashima is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Masaaki Terashima collaborates with scholars based in Japan, United States and Germany. Masaaki Terashima's co-authors include Shigeo Katoh, Hiroyuki Yoshida, Eizô Sada, Kazuhiko Nakagawa, Isamu Okamoto, Taroh Satoh, Masahiro Fukuoka, Yoko Ejiri, Takafumi Okabe and Takeshi Yoshida and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Masaaki Terashima

72 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Masaaki Terashima 909 256 240 197 143 72 1.4k
Bo‐Kyung Kim 710 0.8× 215 0.8× 77 0.3× 72 0.4× 46 0.3× 65 1.2k
G. Michael Hass 772 0.8× 308 1.2× 69 0.3× 106 0.5× 47 0.3× 64 1.5k
Hervé Benoist 843 0.9× 149 0.6× 68 0.3× 136 0.7× 87 0.6× 83 1.7k
Yong Zhou 991 1.1× 176 0.7× 127 0.5× 51 0.3× 131 0.9× 95 1.8k
Saugata Hazra 949 1.0× 173 0.7× 80 0.3× 79 0.4× 23 0.2× 74 1.8k
Yi Kong 705 0.8× 100 0.4× 89 0.4× 88 0.4× 65 0.5× 95 1.4k
Xiulan Su 1.1k 1.2× 246 1.0× 117 0.5× 49 0.2× 48 0.3× 90 1.7k
Osamu Ando 690 0.8× 414 1.6× 70 0.3× 124 0.6× 110 0.8× 62 1.6k
Shanshan Sun 819 0.9× 221 0.9× 95 0.4× 36 0.2× 159 1.1× 73 1.4k
Margaret Dah‐Tsyr Chang 968 1.1× 194 0.8× 100 0.4× 192 1.0× 15 0.1× 85 1.8k

Countries citing papers authored by Masaaki Terashima

Since Specialization
Citations

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

Fields of papers citing papers by Masaaki Terashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaaki Terashima

This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Terashima. A scholar is included among the top collaborators of Masaaki Terashima 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 Masaaki Terashima. Masaaki Terashima 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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2026