Daiju Ichikawa

608 total citations
35 papers, 494 citations indexed

About

Daiju Ichikawa is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Daiju Ichikawa has authored 35 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Hematology and 11 papers in Immunology. Recurrent topics in Daiju Ichikawa's work include Multiple Myeloma Research and Treatments (10 papers), Protein Degradation and Inhibitors (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Daiju Ichikawa is often cited by papers focused on Multiple Myeloma Research and Treatments (10 papers), Protein Degradation and Inhibitors (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Daiju Ichikawa collaborates with scholars based in Japan, United States and New Zealand. Daiju Ichikawa's co-authors include Yutaka Hattori, Yoshiko Sonoda, Tadashi Kasahara, Kenichi Nagase, Hideko Kanazawa, Richard R. Hardy, Kyoko Hayakawa, Susan A. Shinton, Aya Mizutani Akimoto and Yan Zhou and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.

In The Last Decade

Daiju Ichikawa

34 papers receiving 490 citations

Peers

Daiju Ichikawa
Comparison fields: 5 of 81
  • Molecular Biology 196
  • Immunology 133
  • Biomedical Engineering 69
  • Pathology and Forensic Medicine 62
  • Oncology 62
Replace Heng Zheng with:
Heng Zheng United States
Ha Na Choi South Korea
Jiagang Liu China
Barbara Strzałka‐Mrozik Poland
Longzhu Piao United States
Monica Montanari Italy
Qing Shi China
Dianbao Zhang China
Tsung-Yao Lin Taiwan
Heng Zheng United States View profile →
Citations per field, relative to Daiju Ichikawa
Daiju Ichikawa · 1×
Citations per year, relative to Daiju Ichikawa
Daiju Ichikawa · 1×

Countries citing papers authored by Daiju Ichikawa

Since Specialization
Citations

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

Fields of papers citing papers by Daiju Ichikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiju Ichikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Daiju Ichikawa. A scholar is included among the top collaborators of Daiju Ichikawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daiju Ichikawa. Daiju Ichikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 3
3 19
4 29
5 10
6 46
7 30
8 3
9 1
10 2
11 12
12 8
13 5
14 9
15 8
16 19
17 8
18 19
19 13
20
[Application of monoclonal antibody for drug delivery system--missile therapy for cancer].
2

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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