Mami Ishida

807 citations
36 papers · 629 · h-index 15

Impact in

Papers in

Mami Ishida

33 papers receiving 616 citations

Peers

Mami Ishida
Comparison fields: 5 of 89
  • Developmental Neuroscience 125
  • Cellular and Molecular Neuroscience 250
  • Cognitive Neuroscience 100
  • Sensory Systems 23
  • Developmental Biology 9
Replace Béatrice Cholley with:
Béatrice Cholley France
Jon R. Inglefield United States
Jost Leemhuis Germany
Ru Feng China
Rachel S. Greenberg United States
Kathleen L. Rubino United States
Jean‐Louis Bossu France
Gail Lewandowski United States
Т. С. Калинина Russia
José S. Aguilar United States
Mami Ishida relative to Béatrice Cholley France Béatrice Cholley's profile →
Citations per field
00.5×4.5×
Béatrice Cholley · 1×
Citations per year

Countries citing papers authored by Mami Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Mami Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200380
2 200858
3 199152
4 200944
5 199942
6 199935
7 199434
8 201532
9 200330
10 202026
11 200226
12 199823
13 199822
14 200817
15 200615
16 200512
17 200910
18 20239
19 20098
20 20128

About Mami Ishida

Mami Ishida is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Nephrology, Developmental Neuroscience and Physiology, having authored 36 papers that have together received 629 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Renal Diseases and Glomerulopathies (5 papers), Glycosylation and Glycoproteins Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Antifungal resistance and susceptibility (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Developmental Neuroscience (125 citations), Cellular and Molecular Neuroscience (250 citations), Cognitive Neuroscience (100 citations), Sensory Systems (23 citations) and Developmental Biology (9 citations). Mami Ishida has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Yasuyoshi Arimatsu, Hiroshi Takahashi, Kaoru Takahashi, Akira Omori, Sachiyo Ichinose, Takeshi Kaneko, Hajime Komano, Yoshihiko Uratani, Wan-Zhu Bai and Keiko Takiguchi‐Hayashi. Their work appears in journals such as Neuroscience, Biochemical and Biophysical Research Communications, Brain Research, Kidney & Blood Pressure Research 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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