Masaki Ri

2.7k citations
117 papers · 1.9k indexed · h-index 24

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
  • Immunology top 5%
    • T-cell and Retrovirus Studies
    • Immune Cell Function and Interaction

Papers in

    • Multiple Myeloma Research and Treatments 49
    • Peptidase Inhibition and Analysis 18
    • CAR-T cell therapy research 11

Masaki Ri

108 papers receiving 1.9k citations

Peers

Masaki Ri
Comparison fields: 5 of 93
  • Hematology 461
  • Immunology 446
  • Oncology 576
  • Biological Psychiatry 39
  • Molecular Biology 1000
Replace Ruth Lehr with:
Ruth Lehr United States
Harry W. Findley United States
Xiuli Wu China
Cinzia Fionda Italy
Stephanie Grabow Australia
Constantine Mitsiades United States
Georg Greiner Austria
Kenneth Kolinsky United States
Wendy Schober United States
Erik A. Nelson United States
Masaki Ri relative to Ruth Lehr United States Ruth Lehr's profile →
Citations per field
00.5×5.2×
Ruth Lehr · 1×
Citations per year

Countries citing papers authored by Masaki Ri

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Ri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20234
4 20221
5 202212
6 20215
7 20213
8 20205
9 20195
10 201918
11 20195
12 201910
13 20199
14 201823
15 201818
16 201714
17 201722
18 201542
19 201428
20 201228

About Masaki Ri

Masaki Ri is a scholar working on Hematology, Oncology, Immunology, Biological Psychiatry and Genetics, having authored 117 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (49 papers), Protein Degradation and Inhibitors (27 papers), Peptidase Inhibition and Analysis (18 papers), T-cell and Retrovirus Studies (17 papers), Ubiquitin and proteasome pathways (17 papers), Lymphoma Diagnosis and Treatment (12 papers), CAR-T cell therapy research (11 papers) and Chronic Lymphocytic Leukemia Research (10 papers). The work is most often cited by research in Hematology (461 citations), Immunology (446 citations), Oncology (576 citations), Biological Psychiatry (39 citations) and Molecular Biology (1000 citations). Masaki Ri has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shinsuke Iida, Shigeru Kusumoto, Takashi Ishida, Hirokazu Komatsu, Ryuzo Ueda, Asahi Ito, Atsushi Inagaki, Hiroshi Inagaki, Hiroki Yano and Fumiko Mori. Their work appears in journals such as International Journal of Hematology, Blood, Cancer Science, Scientific Reports and Blood Cancer Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026