Emmy Li
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Neurology top 5%
- Genetics
- Co-authors
- William RenthalClifford J. WoolfDaniel H. GeschwindIvan TochitskyYung‐Chih ChengRiki KawaguchiLite YangMartin Kampmann
- Topics
- Neurobiology and Insect Physiology Research (7 papers)Neurogenesis and neuroplasticity mechanisms (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)
- Journals
- NatureNeuronNature Neuroscience
- Partner nations
- United StatesChinaGermany
In The Last Decade
Emmy Li
19 papers receiving 929 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 445
- Cellular and Molecular Neuroscience 285
- Physiology 275
- Neurology 236
- Genetics 149
Countries citing papers authored by Emmy Li
This map shows the geographic impact of Emmy Li'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 Emmy Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmy Li more than expected).
Fields of papers citing papers by Emmy Li
This network shows the impact of papers produced by Emmy Li. 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 Emmy Li. The network helps show where Emmy Li may publish in the future.
Co-authorship network of co-authors of Emmy Li
This figure shows the co-authorship network connecting the top 25 collaborators of Emmy Li. A scholar is included among the top collaborators of Emmy Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emmy Li. Emmy Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 78 | |
| 11 | 7 | |
| 12 | Molecular characterization of selectively vulnerable neurons in Alzheimer’s diseasebreakdown → | 271 |
| 13 | 12 | |
| 14 | Transcriptional Reprogramming of Distinct Peripheral Sensory Neuron Subtypes after Axonal Injurybreakdown → | 298 |
| 15 | 79 | |
| 16 | 87 | |
| 17 | 5 | |
| 18 | 10 | |
| 19 | 57 | |
| 20 | Survival and differentiation of neuroepithelial stem cells following transplantation into the lateral ventricle of rats. | 4 |
About Emmy Li
Emmy Li is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 22 papers that have together received 938 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (123 citations), Neurology (236 citations) and Cellular and Molecular Neuroscience (285 citations). Emmy Li has collaborated with scholars based in United States, China and Germany. Frequent co-authors include William Renthal, Clifford J. Woolf, Daniel H. Geschwind, Ivan Tochitsky, Yung‐Chih Cheng, Riki Kawaguchi, Lite Yang, Martin Kampmann, Kun Leng and Andrew Silberfeld. Their work appears in journals such as Nature, Neuron and Nature 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.