Dandan Tan

770 citations
42 papers · 421 · h-index 13

Impact in

Papers in

Dandan Tan

39 papers receiving 418 citations

Peers

Dandan Tan
Comparison fields: 5 of 86
  • Developmental Neuroscience 51
  • Cellular and Molecular Neuroscience 161
  • Immunology and Allergy 29
  • Genetics 37
  • Neurology 27
Replace Ethel Derr‐Yellin with:
Ethel Derr‐Yellin United States
Daniel Lüscher Switzerland
Micaela Pannella Italy
Elena Pompili Italy
Elizabeth Harford‐Wright Australia
Heike Bömmel Germany
Annika Schuermann Germany
Ronak Patel United States
Koichi Fujikawa Japan
Lei Mao China
Dandan Tan relative to Ethel Derr‐Yellin United States Ethel Derr‐Yellin's profile →
Citations per field
00.5×3.6×
Ethel Derr‐Yellin · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 201444
3 201729
4 201828
5 201527
6 201825
7 202021
8 201821
9 202020
10 201819
11 201516
12 201814
13 202014
14 201811
15 201910
16 20249
17 20177
18 20236
19 20236
20 20205

About Dandan Tan

Dandan Tan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Immunology and Allergy and Pathology and Forensic Medicine, having authored 42 papers that have together received 421 indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), RNA Research and Splicing (9 papers), Muscle Physiology and Disorders (9 papers), RNA regulation and disease (6 papers), Cell Adhesion Molecules Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Developmental Neuroscience (51 citations), Cellular and Molecular Neuroscience (161 citations), Immunology and Allergy (29 citations), Genetics (37 citations) and Neurology (27 citations). Dandan Tan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jiasong Guo, Xianghai Wang, Mengjie Pan, Lixia Li, Jin‐Kun Wen, Xiaofang Hu, Haowen Zhang, Hui Xiong, Xingzhi Chang and Xiru Wu. Their work appears in journals such as CNS Neuroscience & Therapeutics, Experimental Neurology, Annals of Clinical and Translational Neurology, Journal of Geophysical Research Oceans and Frontiers in Cellular Neuroscience.

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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