Seiichi Mizushima

2.3k citations
10 papers · 2.1k indexed · 1 hit paper · h-index 8

Seiichi Mizushima

10 papers receiving 2.1k citations

Hit Papers

pEF-BOS, a powerful mammalian expression vector1.6k199020262002201450010001.5k

Peers

Seiichi Mizushima
Comparison fields: 5 of 93
  • Immunology 822
  • Cancer Research 426
  • Immunology and Allergy 112
  • Molecular Biology 1.2k
  • Cell Biology 241
Replace Weiping Shen with:
Weiping Shen United States
Elisabetta Bianchi France
Timothy A. Coleman United States
Yuichi Sekine Japan
Christopher J. Ong Canada
Christian Schmedt United States
Hyeseon Cho United States
Elisabeth Kowenz‐Leutz Germany
Denis Banville Canada
N A Jenkins United States
Seiichi Mizushima relative to Weiping Shen United States Weiping Shen's profile →
Citations per field
00.5×1.6×
Weiping Shen · 1×
Citations per year

Countries citing papers authored by Seiichi Mizushima

Since Specialization
Citations

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

Fields of papers citing papers by Seiichi Mizushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Seiichi Mizushima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seiichi Mizushima Line = papers co-authored together Seiichi Mizushima links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20186
2 201710
3 20173
4 199830
5 199818
6 1996422
7 19969
8 199344
9
pEF-BOS, a powerful mammalian expression vectorbreakdown →
19901574
10 198811

About Seiichi Mizushima

Seiichi Mizushima is a scholar working on Genetics, Cancer Research, Hepatology, Neurology and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pregnancy and Medication Impact (3 papers), Inflammatory Bowel Disease (3 papers), Glycosylation and Glycoproteins Research (2 papers), Microscopic Colitis (2 papers), NF-κB Signaling Pathways (2 papers), interferon and immune responses (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Immunology (822 citations), Cancer Research (426 citations), Immunology and Allergy (112 citations), Molecular Biology (1.2k citations) and Cell Biology (241 citations). Seiichi Mizushima has collaborated with scholars based in Japan and United States. Frequent co-authors include Shigekazu Nagata, Jun‐ichiro Inoue, Takaomi Ishida, Tadashi Yamamoto, Sakura Azuma, Toshiki Watanabe, Shigemi Aizawa, Elliott Kieff, Norihiko Kobayashi and George Mosialos. Their work appears in journals such as Intestinal Research, Gene, Biological and Pharmaceutical Bulletin, Nucleic Acids Research and Journal of Biological Chemistry.

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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