Masako Soma

1.1k total citations · 1 hit paper
5 papers, 790 citations indexed

About

Masako Soma is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Masako Soma has authored 5 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Masako Soma's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Biosimilars and Bioanalytical Methods (2 papers) and Protein purification and stability (2 papers). Masako Soma is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Biosimilars and Bioanalytical Methods (2 papers) and Protein purification and stability (2 papers). Masako Soma collaborates with scholars based in Japan, Germany and United States. Masako Soma's co-authors include Tetsuo Aida, Hiromi Okamoto, Ryo Atsumi, Katsunobu Hagihara, Ichiro Hayakawa, Junko Yamaguchi, Toshinori Agatsuma, Chiaki Ishii, Masataka Oitate and Yusuke Ogitani and has published in prestigious journals such as Clinical Cancer Research, Bioconjugate Chemistry and Biological and Pharmaceutical Bulletin.

In The Last Decade

Masako Soma

5 papers receiving 773 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DS-8201a, A Novel HER2-Targeting ADC with a Novel DNA Topoisomerase I Inhibitor, Demonstrates a Promising Antitumor Efficacy with Differentiation from T-DM1

2016 767 citations Yusuke Ogitani, Tetsuo Aida et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masako Soma Japan	4	689	413	251	159	51	5	790
Preeti Trisal United States	6	413 0.6×	242 0.6×	98 0.4×	181 1.1×	63 1.2×	11	554
Géraldine Gebhart Belgium	14	614 0.9×	610 1.5×	229 0.9×	169 1.1×	53 1.0×	26	980
Eleonora Nicolò Italy	12	496 0.7×	222 0.5×	179 0.7×	116 0.7×	52 1.0×	39	635
Jill J.J. Geenen Netherlands	6	567 0.8×	257 0.6×	167 0.7×	209 1.3×	36 0.7×	10	706
Christy Osgood United States	11	359 0.5×	129 0.3×	167 0.7×	132 0.8×	59 1.2×	19	541
G. Konecny Germany	10	749 1.1×	301 0.7×	122 0.5×	245 1.5×	49 1.0×	18	936
Gilles Gallant United States	9	530 0.8×	148 0.4×	302 1.2×	340 2.1×	118 2.3×	19	819
Meghan Nechrebecki United States	3	404 0.6×	116 0.3×	238 0.9×	226 1.4×	38 0.7×	4	542
Eleonora Restuccia Switzerland	15	524 0.8×	207 0.5×	212 0.8×	64 0.4×	78 1.5×	48	626
Bernhard Heinrich Germany	14	439 0.6×	129 0.3×	187 0.7×	160 1.0×	28 0.5×	36	630

Countries citing papers authored by Masako Soma

Since Specialization

Citations

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

Fields of papers citing papers by Masako Soma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Soma

This figure shows the co-authorship network connecting the top 25 collaborators of Masako Soma. A scholar is included among the top collaborators of Masako Soma 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 Masako Soma. Masako Soma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Nishimiya, Daisuke, et al.. (2020). Host cell proteins induce inflammation and immunogenicity as adjuvants in an integrated analysis of in vivo and in vitro assay systems. Journal of Pharmacological and Toxicological Methods. 103. 106694–106694. 11 indexed citations

2.

Nishimura, Kazuko, Hiroko Shibata, Muneo Aoyama, et al.. (2019). Elucidation of the Statistical Factors that Influence Anti-Drug Antibody Cut Point Setting Through a Multi-Laboratory Study. Bioanalysis. 11(6). 509–524. 2 indexed citations

3.

Yamaguchi, Takahiro, Masako Soma, Kensuke Nakamura, et al.. (2018). Pharmacokinetic and Pharmacodynamic Profiles of Glyco-Modified Atrial Natriuretic Peptide Derivatives Synthesized Using Chemo-enzymatic Synthesis Approaches. Bioconjugate Chemistry. 29(8). 2829–2837. 7 indexed citations

4.

Ogitani, Yusuke, Tetsuo Aida, Katsunobu Hagihara, et al.. (2016). DS-8201a, A Novel HER2-Targeting ADC with a Novel DNA Topoisomerase I Inhibitor, Demonstrates a Promising Antitumor Efficacy with Differentiation from T-DM1. Clinical Cancer Research. 22(20). 5097–5108. 767 indexed citations breakdown →

5.

Tajima, Naoyuki, Masako Soma, Hitoshi Ishizuka, & Hideo Naganuma. (2005). Quantitative Evaluation of Effect of Renal Failure on the Pharmacokinetics of Panipenem in Rats. Biological and Pharmaceutical Bulletin. 28(11). 2170–2172. 3 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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