Jinglei Yu

726 total citations · 1 hit paper
10 papers, 595 citations indexed

About

Jinglei Yu is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Jinglei Yu has authored 10 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Jinglei Yu's work include Liver Disease Diagnosis and Treatment (4 papers), Sports Performance and Training (2 papers) and Muscle metabolism and nutrition (2 papers). Jinglei Yu is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Sports Performance and Training (2 papers) and Muscle metabolism and nutrition (2 papers). Jinglei Yu collaborates with scholars based in United Kingdom, Australia and Norway. Jinglei Yu's co-authors include Matthew J. Armstrong, Jeremy Tomlinson, Jonathan Hazlehurst, Diana Hull, Philip N. Newsome, Stephen Gough, Maryam Nasiri, Laura Gathercole, Darren Barton and Kathy Guo and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Journal of Hepatology.

In The Last Decade

Jinglei Yu

9 papers receiving 589 citations

Hit Papers

Glucagon-like peptide 1 decreases lipotoxicity in non-alc... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinglei Yu United Kingdom 7 356 349 148 117 116 10 595
Toshihiko Hashinaga Japan 10 119 0.3× 283 0.8× 168 1.1× 85 0.7× 184 1.6× 13 511
Babak Dehestani Ireland 6 99 0.3× 240 0.7× 131 0.9× 75 0.6× 88 0.8× 12 482
Federica Costantino Italy 9 147 0.4× 232 0.7× 81 0.5× 61 0.5× 176 1.5× 9 424
Per Lundkvist Sweden 10 422 1.2× 258 0.7× 204 1.4× 204 1.7× 106 0.9× 14 624
Thomas Grenier–Larouche Canada 14 126 0.4× 98 0.3× 181 1.2× 130 1.1× 325 2.8× 18 569
F P Alford Australia 12 341 1.0× 84 0.2× 173 1.2× 139 1.2× 193 1.7× 22 564
Pia Fahlbusch Germany 11 100 0.3× 196 0.6× 164 1.1× 62 0.5× 113 1.0× 16 411
Mizuki Endo Japan 8 74 0.2× 180 0.5× 98 0.7× 40 0.3× 65 0.6× 26 374
Kun Lyu China 9 222 0.6× 251 0.7× 147 1.0× 54 0.5× 255 2.2× 17 516
Valentina Ceccarelli Italy 13 127 0.4× 117 0.3× 93 0.6× 54 0.5× 77 0.7× 20 384

Countries citing papers authored by Jinglei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jinglei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglei Yu

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

All Works

10 of 10 papers shown
1.
Yu, Jinglei, Mingming Zhang, Jingjing Feng, et al.. (2024). A rare KMT2A::CBL transcript in an acute monoblastic leukemia patient with an unfavorable outcome. Molecular Biology Reports. 51(1). 561–561.
2.
Jackman, Sarah R., Gareth A. Wallis, Jinglei Yu, et al.. (2023). Co-Ingestion of Branched-Chain Amino Acids and Carbohydrate Stimulates Myofibrillar Protein Synthesis Following Resistance Exercise in Trained Young Men. International Journal of Sport Nutrition and Exercise Metabolism. 33(4). 189–197. 6 indexed citations
3.
Yu, Jinglei, et al.. (2018). High Field Asymmetric Waveform Ion Mobility Spectrometry in Nontargeted Bottom-up Proteomics of Dried Blood Spots. Journal of Proteome Research. 17(6). 1997–2004. 29 indexed citations
4.
McKendry, James, Alberto Pérez‐López, Michael K. McLeod, et al.. (2016). Short inter‐set rest blunts resistance exercise‐induced increases in myofibrillar protein synthesis and intracellular signalling in young males. Experimental Physiology. 101(7). 866–882. 44 indexed citations
5.
Armstrong, Matthew J., Diana Hull, Kathy Guo, et al.. (2015). Glucagon-like peptide 1 decreases lipotoxicity in non-alcoholic steatohepatitis. Journal of Hepatology. 64(2). 399–408. 351 indexed citations breakdown →
6.
Hazlehurst, Jonathan, Andrei I. Oprescu, Nikolaos Nikolaou, et al.. (2015). Dual-5α-Reductase Inhibition Promotes Hepatic Lipid Accumulation in Man. The Journal of Clinical Endocrinology & Metabolism. 101(1). 103–113. 50 indexed citations
7.
Hazlehurst, Jonathan, Andrei I. Oprescu, Nikolaos Nikolaou, et al.. (2015). Dual 5[alpha]-reductase inhibition causes hepatic lipid accumulation in man. Endocrine Abstracts. 1 indexed citations
9.
Armstrong, Matthew J., Jonathan Hazlehurst, Diana Hull, et al.. (2014). Abdominal subcutaneous adipose tissue insulin resistance and lipolysis in patients with non‐alcoholic steatohepatitis. Diabetes Obesity and Metabolism. 16(7). 651–660. 56 indexed citations
10.
Hazlehurst, Jonathan, Laura Gathercole, Maryam Nasiri, et al.. (2013). Glucocorticoids Fail to Cause Insulin Resistance in Human Subcutaneous Adipose Tissue In Vivo. The Journal of Clinical Endocrinology & Metabolism. 98(4). 1631–1640. 51 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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