Mieko Shiwa

647 citations
11 papers · 542 indexed · h-index 10
Topics
Advanced Proteomics Techniques and Applications (3 papers)Mass Spectrometry Techniques and Applications (3 papers)Glycosylation and Glycoproteins Research (1 paper)
Partner nations
JapanFranceChina

In The Last Decade

Mieko Shiwa

11 papers receiving 528 citations

Peers

Mieko Shiwa
Comparison fields: 5 of 77
  • Molecular Biology 340
  • Spectroscopy 123
  • Physiology 122
  • Immunology 103
  • Developmental Neuroscience 39
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Jean‐Bernard Lazaro United States
María Jesús Pujol Spain
Sukumar Sarkar United States
Montserrat Jaumot Spain
Marie Anne Pringle United Kingdom
Aleksandra Kołodziejczyk Poland
Dmytro O. Minchenko Ukraine
Fatimah A. Nahhas United States
Eunhee Choi United States
Rencheng Wang United States
Mieko Shiwa relative to Jean‐Bernard Lazaro United States Jean‐Bernard Lazaro's profile →
Citations per field
00.5×4.0×
Jean‐Bernard Lazaro · 1×
Citations per year

Countries citing papers authored by Mieko Shiwa

Since Specialization
Citations

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

Fields of papers citing papers by Mieko Shiwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mieko Shiwa

This figure shows the co-authorship network connecting the top 25 collaborators of Mieko Shiwa. A scholar is included among the top collaborators of Mieko Shiwa 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 Mieko Shiwa. Mieko Shiwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 20
3 49
4 12
5 132
6 24
7
Identification of serum proteins related to adverse effects induced by docetaxel infusion from protein expression profiles of serum using SELDI ProteinChip system.
36
8 20
9 88
10 25
11 135

About Mieko Shiwa

Mieko Shiwa is a scholar working on Physiology, Sensory Systems and Spectroscopy, having authored 11 papers that have together received 542 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Aging (27 citations), Developmental Neuroscience (39 citations) and Spectroscopy (123 citations). Mieko Shiwa has collaborated with scholars based in Japan, France and China. Frequent co-authors include Yasuhiro Furuichi, Hiroyuki Niida, Yoshiki Tokutake, Hideo Satoh, Takehisa Matsumoto, Takao Yamori, Yumiko Nishimura, Hiroyuki Ota, Yo Kato and Tetsuro Shingo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics 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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