Yang V. Li

32 papers receiving 1.1k citations

Peers

Yang V. Li
Comparison fields: 5 of 103
  • Nutrition and Dietetics 481
  • Health, Toxicology and Mutagenesis 185
  • Electrochemistry 55
  • Cellular and Molecular Neuroscience 141
  • Developmental Neuroscience 29
Replace Roman A. Eliseev with:
Roman A. Eliseev United States
Cécile Bouton France
Marta Ugarte United Kingdom
T. Tønnesen Denmark
Jun Qin Mo United States
Andrew Grimes Australia
Nina Horn Denmark
Pauline Chabosseau United Kingdom
M. Christine McGahan United States
Tina Skjørringe Denmark
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Citations per field
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Roman A. Eliseev · 1×
Citations per year

Countries citing papers authored by Yang V. Li

Since Specialization
Citations

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

Fields of papers citing papers by Yang V. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013187
2 2003162
3
Intracellular zinc distribution in mitochondria, ER and the Golgi apparatus.
201690
4 200680
5 201053
6 201750
7 200943
8 200739
9 200638
10 200333
11
Zebrafish as an alternative model for hypoxic-ischemic brain damage.
201131
12 201529
13 201328
14 201526
15 201624
16
Zinc wave during the treatment of hypoxia is required for initial reactive oxygen species activation in mitochondria.
201620
17 201318
18 200618
19 201017
20 201217

About Yang V. Li

Yang V. Li is a scholar working on Nutrition and Dietetics, Health, Toxicology and Mutagenesis, Molecular Biology, Cellular and Molecular Neuroscience and Physiology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Trace Elements in Health (22 papers), Heavy Metal Exposure and Toxicity (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Ion channel regulation and function (4 papers), Alzheimer's disease research and treatments (3 papers), Aluminum toxicity and tolerance in plants and animals (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Electrochemical Analysis and Applications (3 papers). The work is most often cited by research in Nutrition and Dietetics (481 citations), Health, Toxicology and Mutagenesis (185 citations), Electrochemistry (55 citations), Cellular and Molecular Neuroscience (141 citations) and Developmental Neuroscience (29 citations). Yang V. Li has collaborated with scholars based in United States and China. Frequent co-authors include Christian J. Stork, Qiping Lu, Virginia Snell, Antonino Carbone, Paolo Fiumara, Anas Younes, Mamoun Younes, Jean‐Nicolas Vauthey, Georgios Georgakis and Bei Zheng. Their work appears in journals such as Cell Calcium, The FASEB Journal, Cellular Signalling, Journal of Neuroscience and Experimental Diabetes Research.

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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