Norihiko Takeda

7.5k citations
147 papers · 5.0k indexed · 1 hit paper · h-index 40

Norihiko Takeda

126 papers receiving 4.9k citations

Hit Papers

Differential activation and antagonistic function of HIF-...5012010202620152020100200300400500

Peers

Norihiko Takeda
Comparison fields: 5 of 138
  • Endocrine and Autonomic Systems 611
  • Cancer Research 1.1k
  • Aging 93
  • Immunology 1.0k
  • Cardiology and Cardiovascular Medicine 733
Replace G. William Wong with:
G. William Wong United States
Yutaka Takahashi Japan
Stella Kourembanas United States
Nagireddy Putluri United States
Andrew P. Levy Israel
Martin Farrall United Kingdom
Ikuo Inoue Japan
Benjamin Gläser Israel
Derek LeRoith United States
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Citations per field
00.5×3.0×
G. William Wong · 1×
Citations per year

Countries citing papers authored by Norihiko Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Norihiko Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Norihiko Takeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Norihiko Takeda Line = papers co-authored together Norihiko Takeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20254
5 20242
6 20241
7 20240
8 20241
9 20241
10 20229
11 20213
12 20207
13 20204
14 201846
15 201869
16 2017171
17 201251
18
Abstract 1725: Long Pentraxin3 (PTX3) is More Specific than CRP as a Marker for Vascular Inflammation
20071
19 2007111
20
Direct Proatherogenic Effect of C-Reactive Protein on Vascular Endothelial Cells
20031

About Norihiko Takeda

Norihiko Takeda is a scholar working on Aging, Endocrine and Autonomic Systems and Cancer Research, having authored 147 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (21 papers), Cardiovascular Function and Risk Factors (11 papers), Circadian rhythm and melatonin (11 papers), Reproductive System and Pregnancy (9 papers), Diabetes Treatment and Management (8 papers), Cardiac Imaging and Diagnostics (7 papers), Heart Failure Treatment and Management (7 papers) and Cardiomyopathy and Myosin Studies (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (611 citations), Cancer Research (1.1k citations) and Aging (93 citations). Norihiko Takeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Koji Maemura, Ryozo Nagai, Randall S. Johnson, Alexander Weidemann, Christian Stockmann, Andrew L. Doedens, Jung‐whan Kim, Yasushi Imai, Ichiro Manabe and Tomohiro Harada. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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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