Naoki Wakimoto

1.2k total citations
29 papers, 947 citations indexed

About

Naoki Wakimoto is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Naoki Wakimoto has authored 29 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Hematology and 6 papers in Genetics. Recurrent topics in Naoki Wakimoto's work include Mechanisms of cancer metastasis (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Chromatin Remodeling and Cancer (3 papers). Naoki Wakimoto is often cited by papers focused on Mechanisms of cancer metastasis (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Chromatin Remodeling and Cancer (3 papers). Naoki Wakimoto collaborates with scholars based in Japan, United States and Singapore. Naoki Wakimoto's co-authors include H. Phillip Koeffler, Hongtao Xing, Dong Yin, James O’Kelly, Kazuo Motoyoshi, Beth Y. Karlan, Jonathan Said, Keith L. Black, Noriyuki Takai and Yasufumi IMAI and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Naoki Wakimoto

28 papers receiving 920 citations

Peers

Naoki Wakimoto
Comparison fields: 5 of 71
  • Molecular Biology 557
  • Oncology 199
  • Genetics 182
  • Pathology and Forensic Medicine 127
  • Surgery 118
Replace Weigang Tong with:
Weigang Tong United States
Yasuhiko Kiyozuka Japan
Ece Konaç Türkiye
Russell D. Klein United States
Qing‐You Kong China
Rhoda Arzoomanian United States
E. Bramm Denmark
Claudia Paternostro Italy
Ming‐Chung Jiang Taiwan
Ki Beom Bae South Korea
Weigang Tong United States View profile →
Citations per field, relative to Naoki Wakimoto
Naoki Wakimoto · 1×
Citations per year, relative to Naoki Wakimoto
Naoki Wakimoto · 1×

Countries citing papers authored by Naoki Wakimoto

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Wakimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Wakimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Wakimoto. A scholar is included among the top collaborators of Naoki Wakimoto 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 Naoki Wakimoto. Naoki Wakimoto 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 1
2 1
3
[Aplastic anemia complicated with ulcerative colitis].
3
4 43
5 110
6 100
7 10
8 154
9
[Systemic capillary leak syndrome presenting remarkable erythrocytosis].
2
10 14
11 7
12 39
13 20
14 1
15 21
16 2
17 31
18 69
19 5
20 115

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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