Eisuke Mekada

10.4k citations
130 papers · 8.4k indexed · 2 hit papers · h-index 48

Eisuke Mekada

129 papers receiving 8.2k citations

Hit Papers

Requirement of CD9 on the Egg Plasma Membrane ...5471978202619942010200400600

Peers

Eisuke Mekada
Comparison fields: 5 of 126
  • Immunology and Allergy 1.4k
  • Immunology 2.4k
  • Biotechnology 908
  • Oncology 2.0k
  • Cell Biology 1.1k
Replace Gregory D. Plowman with:
Gregory D. Plowman United States
Àngel Pellicer United States
Takahiro Kunisada Japan
C Gorman United States
Martin L. Breitman Canada
Mourad Kaghad France
Arthur D. Levinson United States
Douglas C. Dean United States
Timothy F. Lane United States
Bohdan Wasylyk France
Eisuke Mekada relative to Gregory D. Plowman United States Gregory D. Plowman's profile →
Citations per field
00.5×4.3×
Gregory D. Plowman · 1×
Citations per year

Countries citing papers authored by Eisuke Mekada

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Mekada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Eisuke Mekada, 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 Eisuke Mekada Line = papers co-authored together Eisuke Mekada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20213
2 20146
3 201245
4 201178
5 201143
6 201038
7 2008154
8 2007119
9 200625
10 2004155
11 200366
12 2002170
13 20015
14
Requirement of CD9 on the Egg Plasma Membrane for Fertilizationbreakdown →
2000547
15 200037
16 199825
17 199572
18 1995240
19 19934
20
Mono clonal antibodies against diphtheria toxin and analysis of diphtheria toxin using them
19810

About Eisuke Mekada

Eisuke Mekada is a scholar working on Immunology and Allergy, Biotechnology and Immunology, having authored 130 papers that have together received 8.4k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (42 papers), Transgenic Plants and Applications (31 papers), Monoclonal and Polyclonal Antibodies Research (31 papers), HER2/EGFR in Cancer Research (29 papers), Cell Adhesion Molecules Research (24 papers), Glycosylation and Glycoproteins Research (21 papers), Proteoglycans and glycosaminoglycans research (14 papers) and Microbial Inactivation Methods (14 papers). The work is most often cited by research in Immunology and Allergy (1.4k citations), Immunology (2.4k citations) and Biotechnology (908 citations). Eisuke Mekada has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Ryo Iwamoto, Shigeki Higashiyama, Michael Klagsbrun, Tsuyoshi Uchida, Yoshio Okada, Masaru Yamaizumi, Naoyuki Taniguchi, Shingo Miyamoto, Toshiyuki Umata and T. Mitamura. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, The Journal of Cell Biology, Cell Structure and Function and Journal of Cell Science.

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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