Masahiko Ohtsuki

3.2k citations
21 papers · 1.7k indexed · h-index 13

Masahiko Ohtsuki

21 papers receiving 1.6k citations

Peers

Masahiko Ohtsuki
Comparison fields: 5 of 100
  • Oncology 572
  • Immunology 420
  • Immunology and Allergy 102
  • Molecular Biology 906
  • Cancer Research 180
Replace Éric Tabone with:
Éric Tabone France
Ιωάννα Μαρουλάκου United States
P E Barker United States
K Motoyoshi Japan
Abby Maizel United States
Chantal Jacquet France
R.T. Taggart United States
William F. Glass United States
Ekkehart Lausch Germany
Tadamitsu Kishimoto Japan
Masahiko Ohtsuki relative to Éric Tabone France Éric Tabone's profile →
Citations per field
00.5×2.7×
Éric Tabone · 1×
Citations per year

Countries citing papers authored by Masahiko Ohtsuki

Since Specialization
Citations

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

Fields of papers citing papers by Masahiko Ohtsuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20076
2 20063
3 200515
4 200393
5 2003488
6 200321
7 200163
8
Therapeutic effect of anti-Fas antibody on a collagen induced arthritis model.
200114
9 200111
10 200046
11 1993498
12 199213
13 1992112
14 199277
15 198712
16 19865
17 198611
18 19848
19 19844
20
Preferential inhibition of the activity of a stimulatory protein of eukaryotic transcription by platinum (II) complexes.
19832

About Masahiko Ohtsuki

Masahiko Ohtsuki is a scholar working on Rheumatology, Oncology and Molecular Biology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (5 papers), Virus-based gene therapy research (4 papers), TGF-β signaling in diseases (4 papers), Cell death mechanisms and regulation (4 papers), Cancer-related Molecular Pathways (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Oncology (572 citations), Immunology (420 citations) and Immunology and Allergy (102 citations). Masahiko Ohtsuki has collaborated with scholars based in Japan, United States and South Africa. Frequent co-authors include Joan Massagué, Kornélia Polyák, Andrew Koff, James M. Roberts, Shinichi Kurakata, Yuki Ichimura, Hiroaki Maeda, Hiroya Kuwahara, Akira Shiraishi and Yusuke Nakamura. Their work appears in journals such as International Immunology, The Journal of Immunology, Molecular and Cellular Biology, Nature Genetics and Chemical and Pharmaceutical Bulletin.

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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