I Saiki

2.5k citations
92 papers · 2.1k indexed · h-index 25

Impact in

Papers in

I Saiki

77 papers receiving 2.0k citations

Peers

I Saiki
Comparison fields: 5 of 136
  • Immunology and Allergy 294
  • Immunology 405
  • Biomaterials 221
  • Cancer Research 240
  • Pharmacology 134
Replace August Bernd with:
August Bernd Germany
Peter Krieg Germany
Ann Y. Park United States
Xiaomei Ren China
Hong‐Duo Chen China
Zsuzsanna Bata‐Csörgõ Hungary
Nicola Jordan United Kingdom
Cynthia L. Marcelo United States
Xuefang Bai China
Ai‐Young Lee South Korea
I Saiki relative to August Bernd Germany August Bernd's profile →
Citations per field
00.5×3.3×
August Bernd · 1×
Citations per year

Countries citing papers authored by I Saiki

Since Specialization
Citations

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

Fields of papers citing papers by I Saiki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20210
3 20170
4 20160
5 20150
6 20120
7 20060
8 20032
9 20031
10 200314
11
Oleoyl triterpene glycoside biotransformed from ginseng suppresses growth and metastasis of murine B16-F10 melanoma via immunostimulation
20007
12
An intestinal bacterial metabolite (M1) of ginseng protopanaxadiol saponins inhibits tumor-induced neovascularization.
20006
13 20006
14 199979
15
Vaccination with B7-1+ tumor and anti-adhesion therapy with RGD pseudo-peptide (FC-336) efficiently induce anti-metastatic effect.
19981
16 199232
17 199025
18 198963
19 198972
20 19852

About I Saiki

I Saiki is a scholar working on Immunology and Allergy, Civil and Structural Engineering, Mechanics of Materials, Computational Theory and Mathematics and Biotechnology, having authored 92 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (16 papers), Composite Material Mechanics (12 papers), Peptidase Inhibition and Analysis (12 papers), Structural Load-Bearing Analysis (12 papers), Advanced Mathematical Modeling in Engineering (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Structural Analysis and Optimization (7 papers) and Structural Behavior of Reinforced Concrete (6 papers). The work is most often cited by research in Immunology and Allergy (294 citations), Immunology (405 citations), Biomaterials (221 citations), Cancer Research (240 citations) and Pharmacology (134 citations). I Saiki has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Ichiro Azuma, Seiichi Tokura, J Murata, I. J. Fidler, Nobuyuki Nishi, S. Nishimura, Keiko Nishimura, Hideo Hasegawa, Jun Murata and Chisato Wakabayashi. Their work appears in journals such as Infection and Immunity, British Journal of Cancer, Computer Methods in Applied Mechanics and Engineering, The Journal of Immunology and International Journal of Cancer.

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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