Ruifa Mi

2.1k citations
33 papers · 1.7k indexed · h-index 21

Impact in

Papers in

Ruifa Mi

32 papers receiving 1.7k citations

Peers

Ruifa Mi
Comparison fields: 5 of 97
  • Developmental Neuroscience 270
  • Cellular and Molecular Neuroscience 866
  • Biomaterials 446
  • Genetics 136
  • Neurology 96
Replace Michael J. Cooke with:
Michael J. Cooke Canada
Melissa J. Mahoney United States
Jared M. Cregg United States
Giovanna Gambarotta Italy
Michele Fornaro Italy
Jiasong Guo China
Xiaolin Liu China
Andrés Hurtado United States
Sheng Yi China
Jinghui Huang China
Ruifa Mi relative to Michael J. Cooke Canada Michael J. Cooke's profile →
Citations per field
00.5×1.5×
Michael J. Cooke · 1×
Citations per year

Countries citing papers authored by Ruifa Mi

Since Specialization
Citations

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

Fields of papers citing papers by Ruifa Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007403
2 2012136
3 2002127
4 2017119
5 200793
6 200790
7 201264
8 201463
9 201363
10 201458
11 201855
12 201644
13 200441
14 200241
15 201939
16 201936
17 200432
18 200132
19 201132
20 201327

About Ruifa Mi

Ruifa Mi is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Biomaterials, Rehabilitation and Genetics, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nerve injury and regeneration (16 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Ion channel regulation and function (3 papers), Wound Healing and Treatments (3 papers), RNA Interference and Gene Delivery (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Developmental Neuroscience (270 citations), Cellular and Molecular Neuroscience (866 citations), Biomaterials (446 citations), Genetics (136 citations) and Neurology (96 citations). Ruifa Mi has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Ahmet Höke, Sing Yian Chew, Kam W. Leong, Weiran Chen, Richard O’Brien, Mahendra S. Rao, Desheng Xu, Paul Worley, Qiuyue Liu and Xianmin Zeng. Their work appears in journals such as Journal of Neuroscience, Scientific Reports, Plastic & Reconstructive Surgery, Experimental Neurology and Acta Biomaterialia.

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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