S Sawada

599 total citations
16 papers, 479 citations indexed

About

S Sawada is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S Sawada has authored 16 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S Sawada's work include Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Virus-based gene therapy research (3 papers). S Sawada is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Virus-based gene therapy research (3 papers). S Sawada collaborates with scholars based in Japan, United States and Netherlands. S Sawada's co-authors include Takeshi Kawamura, Yasuhiko Masuho, Kiyoshi Furukawa, Michael A. Fournel, Takashi Hironaka, Takeyoshi Minaga, Akira Kobata, Eiji Ito, Yoshio Araki and Shin‐ichi Yokota and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Virology.

In The Last Decade

S Sawada

15 papers receiving 451 citations

Peers

S Sawada
Comparison fields: 5 of 68
  • Molecular Biology 213
  • Immunology 141
  • Hematology 97
  • Radiology, Nuclear Medicine and Imaging 90
  • Genetics 67
L.M. Loomes United Kingdom
Mary R. Stone United States
Martine Damonneville France
Chris Richardson Canada
Richard M. Thorn United States
Marcela Torres United States
Elchanan Maron Israel
Peter Conradt Germany
Jean‐Claude Lefebvre France
Robert A. Nicolotti United States
L.M. Loomes United Kingdom View profile →
Citations per field, relative to S Sawada
S Sawada · 1×
Citations per year, relative to S Sawada
S Sawada · 1×

Countries citing papers authored by S Sawada

Since Specialization
Citations

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

Fields of papers citing papers by S Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Sawada

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 9
2 0
3 8
4 22
5 59
6 13
7 100
8 11
9 32
10 45
11 51
12 18
13
Elicited antibody nature of human monoclonal protein with anti-streptolysin O activity--analysis with monoclonal anti-idiotype antibody.
2
14 24
15 30
16 55

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