Da Mi

1.9k citations
19 papers · 1.3k · 1 hit paper · h-index 10

Impact in

Papers in

Da Mi

17 papers receiving 1.3k citations

Da Mi's Hit Papers

Development and Functional Diversification of Cortical Interneurons 2018 · 489 citations
4890+2+5Years since publication100200300400

Peers

Da Mi
Comparison fields: 5 of 80
  • Developmental Neuroscience 531
  • Cellular and Molecular Neuroscience 221
  • Molecular Biology 383
  • Cognitive Neuroscience 111
  • Genetics 146
Replace Myrto Denaxa with:
Myrto Denaxa Greece
Ludovic Telley Switzerland
Mark Zervas United States
Limin Shi China
Masaaki Torii United States
Maria José Galazo United States
Nathalie Dehorter Australia
Nicolas Narboux‐Nême France
Fong Kuan Wong United Kingdom
Carina Hanashima Japan
Da Mi relative to Myrto Denaxa Greece Myrto Denaxa's profile →
Citations per field
00.5×2×3×3.8×
Myrto Denaxa · 1×
Citations per year

Countries citing papers authored by Da Mi

Since Specialization
Citations

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

Fields of papers citing papers by Da Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Development and Functional Diversification of Cortical Interneurons
Hit paper breakdown →
2018489
2 2018186
3 2022167
4 2015121
5 2021113
6 201365
7 201435
8 200831
9 202227
10 202315
11 201810
12 20248
13 20137
14 20237
15 20255
16 20252
17 20251
18 20250
19 20260

About Da Mi

Da Mi is a scholar working on Developmental Neuroscience, Molecular Biology, Neurology, Genetics and Hematology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (10 papers), Single-cell and spatial transcriptomics (2 papers), Developmental Biology and Gene Regulation (2 papers), Inflammatory mediators and NSAID effects (1 paper), Schizophrenia research and treatment (1 paper), Barrier Structure and Function Studies (1 paper), Glioma Diagnosis and Treatment (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Developmental Neuroscience (531 citations), Cellular and Molecular Neuroscience (221 citations), Molecular Biology (383 citations), Cognitive Neuroscience (111 citations) and Genetics (146 citations). Da Mi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Óscar Marín, Lynette Lim, David Jonathan Price, Martine N. Manuel, John O. Mason, Zhen Li, Mingfeng Li, Yifei Yang, Tianliuyun Gao and Tim Xiaoming Hu. Their work appears in journals such as Nature Communications, Neuron, Science, Frontiers in Cellular Neuroscience and Cell.

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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