T. Takeda

154 papers receiving 4.6k citations

T. Takeda's Hit Papers

A new murine model of accelerated senescence 1981 · 735 citations
7350+15+30Years since publication200400600

Peers

T. Takeda
Comparison fields: 5 of 144
  • Aging 332
  • Nephrology 720
  • Biological Psychiatry 120
  • Neurology 375
  • Physiology 999
Replace Zhuohua Zhang with:
Zhuohua Zhang China
Anders Paetau Finland
Stephan Frank Switzerland
Chunfang Wang China
Michael T. Crow United States
Thomas Boettger Germany
Eduardo N. Chini United States
Michel Mittelbronn Germany
Benjamin Gläser Israel
Kevin P. Rosenblatt United States
T. Takeda relative to Zhuohua Zhang China Zhuohua Zhang's profile →
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Zhuohua Zhang · 1×
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Countries citing papers authored by T. Takeda

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Takeda more than expected).

Fields of papers citing papers by T. Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. 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 T. Takeda Line = papers co-authored together T. Takeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new murine model of accelerated senescence
Hit paper breakdown →
1981735
2 2001213
3 2000168
4 2001142
5 1986133
6 2004102
7
Systemic senile amyloid in senescence-accelerated mice. A unique fibril protein demonstrated in tissues from various organs by the unlabeled immunoperoxidase method.
198398
8
Clinical characteristics of infant acute leukemia with or without 11q23 translocations.
198895
9
The SAM Model of Senescence
199494
10 198687
11
Beta/A4 proteinlike immunoreactive granular structures in the brain of senescence-accelerated mouse.
199387
12 201285
13 200483
14 200981
15 200379
16 199178
17 198677
18 199776
19 199070
20 200570

About T. Takeda

T. Takeda is a scholar working on Molecular Biology, Nephrology, Radiology, Nuclear Medicine and Imaging, Oncology and Physiology, having authored 165 papers that have together received 4.7k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (16 papers), Renal Diseases and Glomerulopathies (15 papers), Advanced MRI Techniques and Applications (11 papers), Advanced X-ray Imaging Techniques (10 papers), Medical Imaging Techniques and Applications (9 papers), Cell Adhesion Molecules Research (8 papers), Alzheimer's disease research and treatments (8 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Aging (332 citations), Nephrology (720 citations), Biological Psychiatry (120 citations), Neurology (375 citations) and Physiology (999 citations). T. Takeda has collaborated with scholars based in Japan, United States and Ecuador. Frequent co-authors include Masakiyo Hosokawa, Marilyn G. Farquhar, Robert A. Orlando, Keiichi Higuchi, Kimio Yasuhira, S Takeshita, Tammie McQuistan, Toshio Matsushita, Yasuhiko Tomita and Katsuhiko Higuchi. Their work appears in journals such as Journal of the American Society of Nephrology, Nephrology, Endocrinology, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Biochemical and Biophysical Research Communications.

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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