Meiko Hashimoto Maeda

1.2k citations
34 papers · 640 indexed · h-index 13
Topics
Inflammatory Myopathies and Dermatomyositis (10 papers)Genetic Neurodegenerative Diseases (5 papers)DNA and Nucleic Acid Chemistry (4 papers)
Journals
SHILAP Revista de lepidopterologíaBrainHepatology
Partner nations
JapanUnited StatesTaiwan

In The Last Decade

Meiko Hashimoto Maeda

28 papers receiving 614 citations

Peers

Meiko Hashimoto Maeda
Comparison fields: 5 of 81
  • Molecular Biology 256
  • Epidemiology 171
  • Rheumatology 147
  • Oncology 88
  • Organic Chemistry 71
Replace Danfeng Xue with:
Danfeng Xue China
Yasuhiko Kiyozuka Japan
Uttam Pati India
Yuxiang Zhang China
Junn-Liang Chang Taiwan
Katriina Kahlos Finland
Mo‐Li Wu China
Qing‐You Kong China
Shengyou Liao China
Pui–Kei Wu United States
Meiko Hashimoto Maeda relative to Danfeng Xue China Danfeng Xue's profile →
Citations per field
00.5×3.6×
Danfeng Xue · 1×
Citations per year

Countries citing papers authored by Meiko Hashimoto Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Meiko Hashimoto Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meiko Hashimoto Maeda. 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 Meiko Hashimoto Maeda. The network helps show where Meiko Hashimoto Maeda may publish in the future.

Co-authorship network of co-authors of Meiko Hashimoto Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Meiko Hashimoto Maeda. A scholar is included among the top collaborators of Meiko Hashimoto Maeda 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 Meiko Hashimoto Maeda. Meiko Hashimoto Maeda 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 0
3 21
4 0
5 4
6 2
7 0
8 2
9 6
10 7
11 2
12 15
13 8
14 2
15 94
16 25
17 96
18 13
19 0
20 10

About Meiko Hashimoto Maeda

Meiko Hashimoto Maeda is a scholar working on Neurology, Cellular and Molecular Neuroscience and Epidemiology, having authored 34 papers that have together received 640 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (10 papers), Genetic Neurodegenerative Diseases (5 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Rheumatology (147 citations), Epidemiology (171 citations) and Toxicology (16 citations). Meiko Hashimoto Maeda has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Jun Shimizu, Shoji Tsuji, Yoshiyuki Kawazoe, Shinichi Abe, Toshiaki Segawa, S Kon, T Uede, Noriharu Shijubo, Akihiro Imada and Yasuo Takahashi. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain and Hepatology.

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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