Yuichi Ishikawa

3.9k total citations
113 papers, 2.5k citations indexed

About

Yuichi Ishikawa is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Yuichi Ishikawa has authored 113 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hematology, 39 papers in Molecular Biology and 28 papers in Oncology. Recurrent topics in Yuichi Ishikawa's work include Acute Myeloid Leukemia Research (32 papers), Chronic Myeloid Leukemia Treatments (16 papers) and Protein Degradation and Inhibitors (13 papers). Yuichi Ishikawa is often cited by papers focused on Acute Myeloid Leukemia Research (32 papers), Chronic Myeloid Leukemia Treatments (16 papers) and Protein Degradation and Inhibitors (13 papers). Yuichi Ishikawa collaborates with scholars based in Japan, United States and India. Yuichi Ishikawa's co-authors include Hitoshi Kiyoi, Naomi Kawashima, Yukitoshi Satoh, Toshiro Migita, Ken Nakagawa, Sakae Okumura, Tomoki Naoe, Masaru Ushijima, Kimie Nomura and Masaaki Matsuura and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Yuichi Ishikawa

105 papers receiving 2.4k citations

Peers

Yuichi Ishikawa
Comparison fields: 5 of 99
  • Molecular Biology 1.4k
  • Hematology 667
  • Cancer Research 597
  • Oncology 476
  • Pulmonary and Respiratory Medicine 472
Replace Nicolas Chapuis with:
Nicolas Chapuis France
Ludwig Wilkens Germany
Kimberly Straley United States
Frédéric Larbret France
Elena Levantini United States
Alexey S. Revenko United States
Kurt Grünewald Austria
Aaron J. Donner United States
Hélène Lapillonne France
Keita Kirito Japan
Nicolas Chapuis France View profile →
Citations per field, relative to Yuichi Ishikawa
Yuichi Ishikawa · 1×
Citations per year, relative to Yuichi Ishikawa
Yuichi Ishikawa · 1×

Countries citing papers authored by Yuichi Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Ishikawa. A scholar is included among the top collaborators of Yuichi Ishikawa 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 Yuichi Ishikawa. Yuichi Ishikawa 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 10
2 0
3 1
4 6
5 1
6 15
7 18
8
Relationship of B7-H3 expression in tumor cells and tumor vasculature with FOXP3+ regulatory T cells in renal cell carcinoma
2
9
Method for Cancer Diagnosis using DNA Ploidy Analysis with a Combination of Fast Fourier Transform and Domain Method
0
10 0
11 0
12 0
13 3
14 43
15 2
16 2
17 1
18 1
19 1
20 1

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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