Diane Li

7 papers receiving 432 citations

Peers

Diane Li
Comparison fields: 5 of 69
  • Neurology 165
  • Physiology 268
  • Neurology 80
  • Cellular and Molecular Neuroscience 86
  • Molecular Biology 182
Replace Julia van der Hoven with:
Julia van der Hoven Australia
Jazmin Florio United States
Abigail Lawler United States
Alexander Volkerling Australia
Cédrick Lachaud France
Emily S. Meymand United States
Charlotte Hiu-Yan Chung United States
Elisabeth L. Moussaud-Lamodière United States
Luis Fonseca‐Ornelas Germany
Benjamin R. Smith United States
Diane Li relative to Julia van der Hoven Australia Julia van der Hoven's profile →
Citations per field
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Julia van der Hoven · 1×
Citations per year

Countries citing papers authored by Diane Li

Since Specialization
Citations

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

Fields of papers citing papers by Diane Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1998379
2 200422
3 202316
4 20226
5 20216
6 20066
7 20063
8
Examination into the HI-SEAS IV built environment reveals differences in the microbial diversity and composition of plastic and wood surfaces
20210
9 20230

About Diane Li

Diane Li is a scholar working on Finance, Atomic and Molecular Physics, and Optics, Physiology, Economics and Econometrics and Neurology, having authored 9 papers that have together received 438 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (1 paper), Pickering emulsions and particle stabilization (1 paper), Electrowetting and Microfluidic Technologies (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Adaptive optics and wavefront sensing (1 paper), Corporate Finance and Governance (1 paper), Spacecraft Design and Technology (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Neurology (165 citations), Physiology (268 citations), Neurology (80 citations), Cellular and Molecular Neuroscience (86 citations) and Molecular Biology (182 citations). Diane Li has collaborated with scholars based in United States, Puerto Rico and Canada. Frequent co-authors include Katerina Markopoulou, Haydeh Payami, Bruce L. Miller, Lee Reed, Kirk C. Wilhelmsen, Zbigniew K. Wszołek, Daniel H. Geschwind, Lorraine N. Clark, Ian D’Souza and Athena Andreadis. Their work appears in journals such as Nano Letters, International Journal of Health Services, Journal of Cardiac Failure, Annals of the New York Academy of Sciences and Proceedings of the National Academy of Sciences.

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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