Takeshi Harada

4.6k citations
120 papers · 3.1k indexed · h-index 30
Topics
Multiple Myeloma Research and Treatments (45 papers)Histone Deacetylase Inhibitors Research (13 papers)Protein Degradation and Inhibitors (13 papers)
Partner nations
JapanUnited StatesItaly

In The Last Decade

Takeshi Harada

102 papers receiving 3.0k citations

Peers

Takeshi Harada
Comparison fields: 5 of 153
  • Molecular Biology 1.5k
  • Oncology 539
  • Hematology 511
  • Immunology 301
  • Biomedical Engineering 277
Replace Christoph V. Suschek with:
Christoph V. Suschek Germany
Xing‐Zhen Chen Canada
Jo C. W. Edwards United Kingdom
Gary W. Goldstein United States
Francine Béhar‐Cohen France
Yasushi Nakagawa United States
Hiroko Inoue Japan
Yoshitaka Hayashi Japan
R L Jilka United States
Félix Bronner United States
Takeshi Harada relative to Christoph V. Suschek Germany Christoph V. Suschek's profile →
Citations per field
00.5×5.4×
Christoph V. Suschek · 1×
Citations per year

Countries citing papers authored by Takeshi Harada

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Harada

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Harada. A scholar is included among the top collaborators of Takeshi Harada 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 Takeshi Harada. Takeshi Harada 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 0
2 1
3 1
4 0
5 0
6 0
7 1
8 1
9 14
10 0
11 6
12 148
13 30
14 2
15 13
16 29
17 1
18 2
19 1
20
Effect of Exercise-Induced Acidosis on the Performance of the Subsequent Exhaustive Exercise
0

About Takeshi Harada

Takeshi Harada is a scholar working on Hematology, Microbiology and Oncology, having authored 120 papers that have together received 3.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (45 papers), Histone Deacetylase Inhibitors Research (13 papers) and Protein Degradation and Inhibitors (13 papers). The work is most often cited by research in Complementary and Manual Therapy (120 citations), Hematology (511 citations) and Molecular Biology (1.5k citations). Takeshi Harada has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Eisuke Nishida, Satoshi Ogawa, Takaya Morooka, Teru Hideshima, Masahiro Abe, Kenneth C. Anderson, Toshio Matsumoto, Shuji Ozaki, Shingen Nakamura and Hirokazu Miki. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

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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