Naoko Takebe

12.1k total citations · 4 hit papers
181 papers, 7.4k citations indexed

About

Naoko Takebe is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Naoko Takebe has authored 181 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 75 papers in Oncology and 40 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Naoko Takebe's work include Cancer Genomics and Diagnostics (27 papers), Hedgehog Signaling Pathway Studies (25 papers) and Epigenetics and DNA Methylation (15 papers). Naoko Takebe is often cited by papers focused on Cancer Genomics and Diagnostics (27 papers), Hedgehog Signaling Pathway Studies (25 papers) and Epigenetics and DNA Methylation (15 papers). Naoko Takebe collaborates with scholars based in United States, Japan and Malaysia. Naoko Takebe's co-authors include S. Percy Ivy, Pamela Jo Harris, Ronald Q. Warren, Sherry X. Yang, Joseph Clara, Yingzi Yang, Cecilia Monge, Hideaki Bando, Lucio Miele and Woondong Jeong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Naoko Takebe

168 papers receiving 7.3k citations

Hit Papers

Targeting Notch, Hedgehog, and Wnt pathways in cancer ste... 2010 2026 2015 2020 2015 2010 2011 2019 250 500 750

Peers

Naoko Takebe
Comparison fields: 5 of 134
  • Molecular Biology 4.3k
  • Oncology 3.2k
  • Cancer Research 1.5k
  • Epidemiology 1.1k
  • Pulmonary and Respiratory Medicine 925
Replace Alain C. Mita with:
Alain C. Mita United States
Muh‐Hwa Yang Taiwan
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Yutaka Kondo Japan
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Citations per field, relative to Naoko Takebe
Naoko Takebe · 1×
Citations per year, relative to Naoko Takebe
Naoko Takebe · 1×

Countries citing papers authored by Naoko Takebe

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Takebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Takebe

This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Takebe. A scholar is included among the top collaborators of Naoko Takebe 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 Naoko Takebe. Naoko Takebe 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 0
2 0
3 1
4 10
5 1
6 0
7 4
8 6
9 2
10 14
11 50
12 33
13 31
14 98
15 19
16 122
17 236
18 164
19 7
20
Autologous stem cell transplantation (ASCT) followed by consolidation chemotherapy for multiple myeloma (MM)
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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