Shinsuke Iida

14.9k citations
331 papers · 7.8k indexed · h-index 46
  • Hematology top 0.2%
    • Multiple Myeloma Research and Treatments 157
  • Immunology top 0.5%
    • T-cell and Retrovirus Studies 50
    • Immune Cell Function and Interaction 26
  • Genetics top 0.5%
    • Chronic Lymphocytic Leukemia Research 46
  • Oncology top 1%
    • Peptidase Inhibition and Analysis 51
    • Cancer Treatment and Pharmacology 25
    • Lymphoma Diagnosis and Treatment 38
    • Protein Degradation and Inhibitors 61

Shinsuke Iida

312 papers receiving 7.7k citations

Peers

Shinsuke Iida
Comparison fields: 5 of 119
  • Hematology 2.2k
  • Immunology 2.7k
  • Genetics 1.2k
  • Oncology 2.7k
  • Pathology and Forensic Medicine 1.5k
Replace HP Koeffler with:
HP Koeffler United States
Hitoshi Kiyoi Japan
Mariusz A. Wasik United States
Antonino Neri Italy
Bayard Clarkson United States
Robert Hromas United States
Veronika Sexl Austria
Justus Duyster Germany
R. Eric Davis United States
Nam H. Dang United States
Shinsuke Iida relative to HP Koeffler United States HP Koeffler's profile →
Citations per field
00.5×10×15×21.8×
HP Koeffler · 1×
Citations per year

Countries citing papers authored by Shinsuke Iida

Since Specialization
Citations

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

Fields of papers citing papers by Shinsuke Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20231
4 20227
5 20226
6 20226
7 20212
8 202129
9 202053
10 201920
11 20195
12 201918
13 20195
14 2015179
15 201542
16 2014102
17 201428
18 201228
19 201154
20 2004234

About Shinsuke Iida

Shinsuke Iida is a scholar working on Hematology, Genetics and Oncology, having authored 331 papers that have together received 7.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (157 papers), Protein Degradation and Inhibitors (61 papers), Peptidase Inhibition and Analysis (51 papers), T-cell and Retrovirus Studies (50 papers), Chronic Lymphocytic Leukemia Research (46 papers), Lymphoma Diagnosis and Treatment (38 papers), Immune Cell Function and Interaction (26 papers) and Cancer Treatment and Pharmacology (25 papers). The work is most often cited by research in Hematology (2.2k citations), Immunology (2.7k citations) and Genetics (1.2k citations). Shinsuke Iida has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Ryuzo Ueda, Hirokazu Komatsu, Takashi Ishida, Shigeru Kusumoto, Hiroshi Inagaki, Masaki Ri, Atsushi Inagaki, Riccardo Dalla‐Favera, Atae Utsunomiya and Asahi Ito. Their work appears in journals such as International Journal of Hematology, Blood, Cancer Science, Journal of Clinical Oncology and Leukemia.

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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