Yutaka Okawa

2.9k citations
46 papers · 1.9k indexed · h-index 18
Topics
Multiple Myeloma Research and Treatments (12 papers)Ubiquitin and proteasome pathways (9 papers)Glycosylation and Glycoproteins Research (5 papers)
Partner nations
JapanUnited StatesItaly

In The Last Decade

Yutaka Okawa

44 papers receiving 1.8k citations

Peers

Yutaka Okawa
Comparison fields: 5 of 103
  • Molecular Biology 1.2k
  • Hematology 612
  • Oncology 604
  • Immunology 183
  • Pathology and Forensic Medicine 177
Replace Miriam Erlacher with:
Miriam Erlacher Germany
Qing Rao China
Ramesh Balusu United States
Ilaria Laurenzana Italy
José P. Vaqué Spain
Daniela S. Daniela Sanchez Bassères Brazil
Gaurav S. Choudhary United States
Miguel Aracil Spain
Dexing Fang United States
Yutaka Okawa relative to Miriam Erlacher Germany Miriam Erlacher's profile →
Citations per field
00.5×1.5×
Miriam Erlacher · 1×
Citations per year

Countries citing papers authored by Yutaka Okawa

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Okawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Okawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Okawa. A scholar is included among the top collaborators of Yutaka Okawa 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 Yutaka Okawa. Yutaka Okawa 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
#WorkIndexed citations
1 184
2 14
3 156
4 114
5 11
6 166
7 82
8 21
9 9
10 40
11 5
12 4
13
Primary central nervus system lymphoma developing methotrexate pneumonitis due to high-dose treatment
1
14 12
15 4
16 12
17 30
18 11
19 1
20 18

About Yutaka Okawa

Yutaka Okawa is a scholar working on Hematology, Oncology and Cancer Research, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (12 papers), Ubiquitin and proteasome pathways (9 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Hematology (612 citations), Oncology (604 citations) and Molecular Biology (1.2k citations). Yutaka Okawa has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Noopur Raje, Teru Hideshima, Kenneth C. Anderson, Hiroshi Ikeda, Nikhil C. Munshi, Dharminder Chauhan, Paul G. Richardson, Sonia Vallet, Tanyel Kiziltepe and Constantine S. Mitsiades. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Blood.

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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