Kiichi Arahata

11.5k citations
138 papers · 8.2k indexed · 2 hit papers · h-index 48

Kiichi Arahata

138 papers receiving 8.0k citations

Hit Papers

Monoclonal antibody analysis of mononuclear cells in myop...198420261998201219841988100200300400500

Peers

Kiichi Arahata
Comparison fields: 5 of 111
  • Molecular Biology 6.5k
  • Epidemiology 1.5k
  • Cellular and Molecular Neuroscience 1.5k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Cell Biology 1.2k
Replace Caroline A. Sewry with:
Caroline A. Sewry United Kingdom
Marina Mora Italy
William Poueymirou United States
Maria Rita Passos‐Bueno Brazil
George Dickson United Kingdom
Patrizia Sabatelli Italy
Michelle D. Tallquist United States
F.M.S. Tomé France
Bradley B. Olwin United States
Madeleine Durbeej Sweden
Kiichi Arahata relative to Caroline A. Sewry United Kingdom Caroline A. Sewry's profile →
Citations per field
00.5×1.5×2.3×
Caroline A. Sewry · 1×
Citations per year

Countries citing papers authored by Kiichi Arahata

Since Specialization
Citations

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

Fields of papers citing papers by Kiichi Arahata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiichi Arahata

This figure shows the co-authorship network connecting the top 25 collaborators of Kiichi Arahata. A scholar is included among the top collaborators of Kiichi Arahata 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 Kiichi Arahata. Kiichi Arahata 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 60
2 19
3 9
4 33
5 55
6 42
7 15
8 281
9 43
10 165
11 222
12 13
13 14
14 72
15 5
16 142
17
[Cardiomyopathy in Becker muscular dystrophy].
17
18 119
19
Immunostaining of skeletal and cardiac muscle surface membrane with antibody against Duchenne muscular dystrophy peptidebreakdown →
500
20 105

About Kiichi Arahata

Kiichi Arahata is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics, having authored 138 papers that have together received 8.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (92 papers), Genetic Neurodegenerative Diseases (28 papers) and Nuclear Structure and Function (21 papers). The work is most often cited by research in Molecular Biology (6.5k citations), Immunology and Allergy (519 citations) and Cellular and Molecular Neuroscience (1.5k citations). Kiichi Arahata has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Andrew G. Engel, Ikuya Nonaka, Toshifumi Tsukahara, Yukiko Hayashi, Shoichi Ishiura, Hideo Sugita, Kanako Goto, Alison M. Emslie‐Smith, Eric P. Hoffman and Ikuya Nonaka. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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