Masumi Sawada

1.7k total citations
84 papers, 1.4k citations indexed

About

Masumi Sawada is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Masumi Sawada has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Pulmonary and Respiratory Medicine and 15 papers in Surgery. Recurrent topics in Masumi Sawada's work include Ovarian cancer diagnosis and treatment (12 papers), Testicular diseases and treatments (9 papers) and Virus-based gene therapy research (8 papers). Masumi Sawada is often cited by papers focused on Ovarian cancer diagnosis and treatment (12 papers), Testicular diseases and treatments (9 papers) and Virus-based gene therapy research (8 papers). Masumi Sawada collaborates with scholars based in Japan, United States and Denmark. Masumi Sawada's co-authors include Takehito MORITA, Akinori Shimada, Y Okudaira, Masatake Fujimura, Osamu Tanizawa, Akihiko Takashima, Fusako Usuki, Takashi Umemura, Yoshio Shimizu and Gaiko Ueda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Masumi Sawada

81 papers receiving 1.4k citations

Peers

Masumi Sawada
Comparison fields: 5 of 113
  • Molecular Biology 316
  • Reproductive Medicine 239
  • Surgery 214
  • Health, Toxicology and Mutagenesis 214
  • Immunology 165
Replace P.F. Wadsworth with:
P.F. Wadsworth United Kingdom
Moshe Marikovsky Israel
S Peel United Kingdom
Sung Tae Kim South Korea
Lutz Konrad Germany
Sarah M. Short United States
Massimo Venditti Italy
Kristi Kincaid United States
Peter Sedlmayr Austria
Kin Lam Fok Hong Kong
P.F. Wadsworth United Kingdom View profile →
Citations per field, relative to Masumi Sawada
Masumi Sawada · 1×
Citations per year, relative to Masumi Sawada
Masumi Sawada · 1×

Countries citing papers authored by Masumi Sawada

Since Specialization
Citations

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

Fields of papers citing papers by Masumi Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masumi Sawada

This figure shows the co-authorship network connecting the top 25 collaborators of Masumi Sawada. A scholar is included among the top collaborators of Masumi Sawada 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 Masumi Sawada. Masumi Sawada 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
# Work Indexed citations
1 27
2 1
3 2
4 0
5 2
6 12
7 1
8
Development of diagnostic method for Neospora caninum and serological survey in cattle and humans
1
9 25
10 88
11 77
12 11
13 41
14 58
15 6
16 50
17 11
18 6
19 2
20
Serially Transplantable Human Embryonal Carcinoma in Nude Mice
1

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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