Ye Li

3.3k total citations
127 papers, 2.6k citations indexed

About

Ye Li is a scholar working on Molecular Biology, Immunology and Aquatic Science. According to data from OpenAlex, Ye Li has authored 127 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 32 papers in Immunology and 24 papers in Aquatic Science. Recurrent topics in Ye Li's work include Echinoderm biology and ecology (19 papers), Aquaculture disease management and microbiota (13 papers) and Gut microbiota and health (13 papers). Ye Li is often cited by papers focused on Echinoderm biology and ecology (19 papers), Aquaculture disease management and microbiota (13 papers) and Gut microbiota and health (13 papers). Ye Li collaborates with scholars based in China, United States and Saudi Arabia. Ye Li's co-authors include Xiurong Su, Jun Zhou, Chenghua Li, Chenyang Lu, Taiwu Li, Jiaojiao Han, Yina Shao, Tinghong Ming, Chunhua Jin and Pengjuan Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

Ye Li

124 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ye Li China 30 1.0k 573 500 305 267 127 2.6k
Lijuan Zhao China 36 1.7k 1.7× 1.1k 1.9× 321 0.6× 309 1.0× 283 1.1× 230 4.2k
Florian J. Schweigert� Germany 37 1.6k 1.6× 328 0.6× 153 0.3× 185 0.6× 289 1.1× 195 4.8k
Bei Jiang China 28 1.3k 1.2× 321 0.6× 329 0.7× 71 0.2× 102 0.4× 198 2.8k
Susan Costantini Italy 40 1.9k 1.9× 859 1.5× 185 0.4× 27 0.1× 224 0.8× 149 4.9k
Qing Zhang China 35 2.5k 2.5× 340 0.6× 87 0.2× 60 0.2× 356 1.3× 240 5.5k
Seiji Kawamoto Japan 29 982 1.0× 478 0.8× 147 0.3× 19 0.1× 354 1.3× 119 2.5k
Chien‐An Andy Hu United States 32 1.5k 1.5× 354 0.6× 112 0.2× 229 0.8× 458 1.7× 68 3.3k
Michael A. Watson United States 29 2.5k 2.5× 550 1.0× 85 0.2× 24 0.1× 286 1.1× 66 5.7k
Fei Shi China 29 1.0k 1.0× 466 0.8× 181 0.4× 23 0.1× 123 0.5× 162 2.5k

Countries citing papers authored by Ye Li

Since Specialization
Citations

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

Fields of papers citing papers by Ye Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Li. A scholar is included among the top collaborators of Ye 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 Ye Li. Ye Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Li, Ye, et al.. (2024). Fluorescence Detection and Inhibition Mechanisms of DNTPH on Aβ42 Oligomers Characterized as Products in the Four Stages of Aggregation. ACS Chemical Neuroscience. 15(22). 4220–4228. 1 indexed citations
4.
Wu, Yan, Xiaoting Qiu, Chenyang Lu, et al.. (2023). Structural and Biochemical Characterization of Silver/Copper Binding by Dendrorhynchus zhejiangensis Ferritin. Polymers. 15(5). 1297–1297. 1 indexed citations
5.
Li, Ye, et al.. (2023). Aggregation Dynamics Characteristics of Seven Different Aβ Oligomeric Isoforms-Dependence on the Interfacial Interaction. ACS Chemical Neuroscience. 15(1). 155–168. 5 indexed citations
6.
Zhang, Jing, Jiaojiao Han, Tinghong Ming, et al.. (2022). Gut microbiome and metabolome analyses reveal the protective effect of special high‐docosahexaenoic acid tuna oil on d‐galactose‐induced aging in mice. Food Science & Nutrition. 10(11). 3814–3827. 8 indexed citations
7.
Han, Jiaojiao, Tinghong Ming, Jun Zhou, et al.. (2022). Dose effect of high‐docosahexaenoic acid tuna oil on dysbiosis in high‐fat diet mice. Journal of the Science of Food and Agriculture. 102(12). 5531–5543. 8 indexed citations
8.
Xu, Jiajie, Chenyang Lu, Jiaojiao Han, et al.. (2021). Effects of the Sex Factor on Mouse Iodine Intake: Interactions between the Gut Microbiota Composition and Metabolic Syndromes. ACS Omega. 6(43). 28569–28578. 6 indexed citations
9.
Zhang, Jing, Jiaojiao Han, Tinghong Ming, et al.. (2020). Novel high‐docosahexaenoic‐acid tuna oil supplementation modulates gut microbiota and alleviates obesity in high‐fat diet mice. Food Science & Nutrition. 8(12). 6513–6527. 50 indexed citations
10.
Zhou, Jun, Chundan Zhang, Xuan Zhang, et al.. (2020). Immunomagnetic separation-based nanogold enhanced surface plasmon resonance and colloidal gold test strips for rapid detection of Vibrio parahaemolyticus. Archives of Microbiology. 202(5). 1025–1033. 9 indexed citations
11.
Han, Jiaojiao, Shasha Tang, Chenyang Lu, et al.. (2020). The novel peptides ICRD and LCGEC screened from tuna roe show antioxidative activity via Keap1/Nrf2-ARE pathway regulation and gut microbiota modulation. Food Chemistry. 327. 127094–127094. 66 indexed citations
12.
Jiang, Qinqin, Yan Wu, Xiaoting Qiu, et al.. (2020). Structure determination of ferritin from Dendrorhynchus zhejiangensis. Biochemical and Biophysical Research Communications. 531(2). 195–202. 8 indexed citations
13.
Han, Jiaojiao, Shasha Tang, Wei Bao, et al.. (2019). Comparisons of protective effects between two sea cucumber hydrolysates against diet induced hyperuricemia and renal inflammation in mice. Food & Function. 11(1). 1074–1086. 83 indexed citations
14.
Jiang, Qinqin, Chenyang Lu, Tingting Sun, et al.. (2019). Alterations of the Brain Proteome and Gut Microbiota in d-Galactose-Induced Brain-Aging Mice with Krill Oil Supplementation. Journal of Agricultural and Food Chemistry. 67(35). 9820–9830. 18 indexed citations
15.
Han, Jiaojiao, Yanyan Li, Chenyang Lu, et al.. (2019). Different host-specific responses in thyroid function and gut microbiota modulation between diet-induced obese and normal mice given the same dose of iodine. Applied Microbiology and Biotechnology. 103(8). 3537–3547. 30 indexed citations
16.
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Zhang, Dijun, Jiaojiao Han, Yanyan Li, et al.. (2018). Tuna Oil Alleviates d-Galactose Induced Aging in Mice Accompanied by Modulating Gut Microbiota and Brain Protein Expression. Journal of Agricultural and Food Chemistry. 66(22). 5510–5520. 26 indexed citations
18.
Han, Jiaojiao, Shasha Tang, Yanyan Li, et al.. (2018). In silicoanalysis andin vivotests of the tuna dark muscle hydrolysate anti-oxidation effect. RSC Advances. 8(25). 14109–14119. 24 indexed citations
19.
Ming, Tinghong, Yanyan Li, Xiaoting Qiu, et al.. (2017). Heavy metal detoxification by recombinant ferritin from Apostichopus japonicus. RSC Advances. 7(66). 41909–41918. 16 indexed citations
20.
Cheong, Ling‐Zhi, Tingting Sun, Yanyan Li, et al.. (2017). Dietary krill oil enhances neurocognitive functions and modulates proteomic changes in brain tissues of d-galactose induced aging mice. Food & Function. 8(5). 2038–2045. 26 indexed citations

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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