Takao Hanada

2.0k citations
15 papers · 1.6k indexed · 1 hit paper · h-index 11
Topics
RNA and protein synthesis mechanisms (6 papers)Autophagy in Disease and Therapy (5 papers)RNA modifications and cancer (5 papers)
Partner nations
JapanChinaGermany

In The Last Decade

Takao Hanada

15 papers receiving 1.6k citations

Hit Papers

The Atg12-Atg5 Conjugate Has a Novel E3-like Activity for...20072026201320192007250500750

Peers

Takao Hanada
Comparison fields: 5 of 95
  • Epidemiology 1.1k
  • Molecular Biology 871
  • Cell Biology 383
  • Physiology 179
  • Parasitology 139
Replace Chieko Kishi‐Itakura with:
Chieko Kishi‐Itakura United Kingdom
Daniela B. Munafó United States
Päivi Ylä‐Anttila Sweden
Yoshihiro Tagawa Japan
Keisuke Obara Japan
Anne Petiot France
Aliaksandr Khaminets Germany
Wei-Lien Yen United States
Vikramjit Lahiri India
Steingrim Svenning Norway
Takao Hanada relative to Chieko Kishi‐Itakura United Kingdom Chieko Kishi‐Itakura's profile →
Citations per field
00.5×
Chieko Kishi‐Itakura · 1×
Citations per year

Countries citing papers authored by Takao Hanada

Since Specialization
Citations

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

Fields of papers citing papers by Takao Hanada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Hanada

This figure shows the co-authorship network connecting the top 25 collaborators of Takao Hanada. A scholar is included among the top collaborators of Takao Hanada 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 Takao Hanada. Takao Hanada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 5
2 7
3 22
4 7
5 122
6 49
7
The Atg12-Atg5 Conjugate Has a Novel E3-like Activity for Protein Lipidation in Autophagybreakdown →
884
8 123
9 54
10 65
11 19
12 121
13 48
14 97
15 8

About Takao Hanada

Takao Hanada is a scholar working on Physiology, Dermatology and Cell Biology, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Autophagy in Disease and Therapy (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Physiology (179 citations), Epidemiology (1.1k citations) and Cell Biology (383 citations). Takao Hanada has collaborated with scholars based in Japan, China and Germany. Frequent co-authors include Yoshinori Ohsumi, Yūko Fujioka, Fuyuhiko Inagaki, Nobuo N. Noda, Yoshinobu Ichimura, Yoshinori Satomi, Toshifumi Takao, Tsutomu Suzuki, Kimitsuna Watanabe and Chie Takemoto‐Hori. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology and FEBS Letters.

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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