Rena Li

42 papers receiving 3.2k citations

Rena Li's Hit Papers

Sex differences in cognitive impairment and Alzheimer’s disease 2014 · 402 citations
4020+4+8Years since publication100200300400500

Peers

Rena Li
Comparison fields: 5 of 147
  • Biological Psychiatry 212
  • Neurology 458
  • Behavioral Neuroscience 178
  • Physiology 847
  • Developmental Neuroscience 85
Replace Giuseppe Verdile with:
Giuseppe Verdile Australia
Beatrice Arosio Italy
Feng Bai China
Simon McArthur United Kingdom
Emily R. Rosario United States
Junjian Zhang China
Sylvia E. Perez United States
Elena Sinforiani Italy
Li Liu China
Clare Wilson United States
Rena Li relative to Giuseppe Verdile Australia Giuseppe Verdile's profile →
Citations per field
00.5×1.5×
Giuseppe Verdile · 1×
Citations per year

Countries citing papers authored by Rena Li

Since Specialization
Citations

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

Fields of papers citing papers by Rena Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rena Li, 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 Rena Li Line = papers co-authored together Rena Li 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
Estrogen synthesis and signaling pathways during aging: from periphery to brain
Hit paper breakdown →
2013591
2
Sex differences in cognitive impairment and Alzheimer’s disease
Hit paper breakdown →
2014402
3 2007318
4 2014240
5 2013146
6 2015134
7 2000115
8 2014112
9 2018107
10 201494
11 201282
12 201576
13 201276
14 201174
15 201371
16 201362
17 201361
18 201557
19 201445
20 201442

About Rena Li

Rena Li is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 3.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), Estrogen and related hormone effects (7 papers), Menopause: Health Impacts and Treatments (6 papers), Stress Responses and Cortisol (4 papers), Dementia and Cognitive Impairment Research (4 papers), Neuroendocrine regulation and behavior (3 papers), Nuclear Receptors and Signaling (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Biological Psychiatry (212 citations), Neurology (458 citations), Behavioral Neuroscience (178 citations), Physiology (847 citations) and Developmental Neuroscience (85 citations). Rena Li has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Yong Shen, Meharvan Singh, Yong Shen, Yong Shen, Chenglin Zhou, Matthias Staufenbiel, Jie Cui, Xin Cheng, Yingying Wang and Dongshi Wang. Their work appears in journals such as Journal of sport and health science, PLoS ONE, Journal of Alzheimer s Disease, Molecular Neurobiology and Journal of 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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