Dandan Tan

800 citations
43 papers · 459 · h-index 13

Impact in

Papers in

Dandan Tan

41 papers receiving 455 citations

Peers

Dandan Tan
Comparison fields: 5 of 83
  • Developmental Neuroscience 46
  • Cellular and Molecular Neuroscience 164
  • Immunology and Allergy 27
  • Genetics 33
  • Rehabilitation 17
Replace Loredana Lorusso with:
Loredana Lorusso Italy
Pau González Spain
Micaela Pannella Italy
Norihiko Nakano Japan
Annika Schuermann Germany
Heike Bömmel Germany
Ricardo Castilho Garcez Brazil
Elizabeth Harford‐Wright Australia
Ruxiang Xu China
Mark Hopkinson United Kingdom
Dandan Tan relative to Loredana Lorusso Italy Loredana Lorusso's profile →
Citations per field
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Loredana Lorusso · 1×
Citations per year

Countries citing papers authored by Dandan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201951
2 201447
3 201731
4 201529
5 201829
6 201825
7 202024
8 201821
9 201820
10 202020
11 201517
12 201815
13 202015
14 201812
15 201910
16 202410
17 20238
18 20178
19 20237
20 20206

About Dandan Tan

Dandan Tan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Pathology and Forensic Medicine and Immunology and Allergy, having authored 43 papers that have together received 459 indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), RNA Research and Splicing (7 papers), Muscle Physiology and Disorders (7 papers), Genetic Neurodegenerative Diseases (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), RNA regulation and disease (3 papers), Ion channel regulation and function (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Developmental Neuroscience (46 citations), Cellular and Molecular Neuroscience (164 citations), Immunology and Allergy (27 citations), Genetics (33 citations) and Rehabilitation (17 citations). Dandan Tan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiasong Guo, Xianghai Wang, Mengjie Pan, Lixia Li, Xiaofang Hu, Haowen Zhang, Hui Xiong, Xiru Wu, Xingzhi Chang and Yun Yuan. Their work appears in journals such as CNS Neuroscience & Therapeutics, Experimental Neurology, Frontiers in Cellular Neuroscience, Journal of Geophysical Research Oceans and Clinical Genetics.

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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