S. Noguchi

21.9k citations
206 papers · 7.0k · h-index 46

Impact in

Papers in

    • Muscle Physiology and Disorders 95
    • RNA Research and Splicing 26
    • Nuclear Structure and Function 23
    • Inflammatory Myopathies and Dermatomyositis 41

S. Noguchi

197 papers receiving 6.9k citations

Peers

S. Noguchi
Comparison fields: 5 of 132
  • Cell Biology 1.3k
  • Molecular Biology 5.4k
  • Cellular and Molecular Neuroscience 1.3k
  • Genetics 777
  • Cardiology and Cardiovascular Medicine 1.5k
Replace Kenji Kadomatsu with:
Kenji Kadomatsu Japan
Paul Gregorevic Australia
Jocelyn Laporte France
Makoto Kinoshita Japan
Vittorio Sartorelli United States
Chengyu Liu United States
Andrzej A. Dlugosz United States
Elisabeth Ehler United Kingdom
Nancy D. Dalton United States
Timo Otonkoski Finland
S. Noguchi relative to Kenji Kadomatsu Japan Kenji Kadomatsu's profile →
Citations per field
00.5×4.6×
Kenji Kadomatsu · 1×
Citations per year

Countries citing papers authored by S. Noguchi

Since Specialization
Citations

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

Fields of papers citing papers by S. Noguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995414
2 1995372
3 1995199
4 1998197
5 1994187
6 2002175
7 2001173
8 2009171
9 2009138
10 2004133
11 1999133
12 2014126
13 2008118
14 2009103
15 200696
16 201091
17 199289
18 200689
19 202088
20 200684

About S. Noguchi

S. Noguchi is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 206 papers that have together received 7.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (95 papers), Inflammatory Myopathies and Dermatomyositis (41 papers), Cardiomyopathy and Myosin Studies (34 papers), Genetic Neurodegenerative Diseases (32 papers), RNA Research and Splicing (26 papers), Nuclear Structure and Function (23 papers), Cellular transport and secretion (20 papers) and Neurogenetic and Muscular Disorders Research (14 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (5.4k citations), Cellular and Molecular Neuroscience (1.3k citations), Genetics (777 citations) and Cardiology and Cardiovascular Medicine (1.5k citations). S. Noguchi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Ichizo Nishino, Ikuya Nonaka, Yukiko Hayashi, Eijiro Ozawa, Yuji Mizuno, Mikiharu Yoshida, May Christine V. Malicdan, Minoru Nakano, Megumu Ogawa and Atsushi Suzuki. Their work appears in journals such as Neuromuscular Disorders, Neurology, Human Molecular Genetics, Muscle & Nerve and European Journal of Biochemistry.

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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