Gina Z. Lu

2.4k total citations · 3 hit papers
7 papers, 1.8k citations indexed

About

Gina Z. Lu is a scholar working on Cell Biology, Physiology and Rehabilitation. According to data from OpenAlex, Gina Z. Lu has authored 7 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cell Biology, 6 papers in Physiology and 3 papers in Rehabilitation. Recurrent topics in Gina Z. Lu's work include Muscle metabolism and nutrition (7 papers), Adipose Tissue and Metabolism (6 papers) and Exercise and Physiological Responses (3 papers). Gina Z. Lu is often cited by papers focused on Muscle metabolism and nutrition (7 papers), Adipose Tissue and Metabolism (6 papers) and Exercise and Physiological Responses (3 papers). Gina Z. Lu collaborates with scholars based in United States, United Kingdom and Canada. Gina Z. Lu's co-authors include Lawrence Kazak, Mark P. Jedrychowski, Bruce M. Spiegelman, Dina Laznik-Bogoslavski, Brian K. Erickson, Ramalingam Vetrivelan, Steve P. Gygi, Shingo Kajimura, Edward T. Chouchani and Edward T. Chouchani and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gina Z. Lu

7 papers receiving 1.8k citations

Hit Papers

A Creatine-Driven Substrate Cycle Enhances Energy Expendi... 2015 2026 2018 2022 2015 2018 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gina Z. Lu United States 7 1.4k 563 545 359 326 7 1.8k
Christian Schlein Germany 15 1.0k 0.8× 575 1.0× 528 1.0× 177 0.5× 173 0.5× 23 1.6k
Serge Phoenix Canada 18 2.0k 1.4× 370 0.7× 628 1.2× 428 1.2× 667 2.0× 36 2.4k
Roger A. Vaughan United States 23 895 0.7× 791 1.4× 198 0.4× 368 1.0× 212 0.7× 79 1.7k
Gemma Solanes Spain 16 1.5k 1.1× 1.2k 2.1× 414 0.8× 387 1.1× 111 0.3× 20 2.3k
Annie Durand France 15 767 0.6× 986 1.8× 378 0.7× 331 0.9× 82 0.3× 25 1.7k
Steve Risis Australia 12 752 0.6× 729 1.3× 540 1.0× 144 0.4× 61 0.2× 14 1.5k
Andreas M. Fritzen Denmark 24 695 0.5× 744 1.3× 266 0.5× 251 0.7× 103 0.3× 49 1.4k
Arild C. Rustan Norway 23 682 0.5× 739 1.3× 204 0.4× 223 0.6× 79 0.2× 57 1.5k
Ronald Cortright United States 6 944 0.7× 724 1.3× 158 0.3× 374 1.0× 91 0.3× 8 1.4k
M. Desautels Canada 16 959 0.7× 580 1.0× 211 0.4× 650 1.8× 157 0.5× 50 1.5k

Countries citing papers authored by Gina Z. Lu

Since Specialization
Citations

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

Fields of papers citing papers by Gina Z. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina Z. Lu. 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 Gina Z. Lu. The network helps show where Gina Z. Lu may publish in the future.

Co-authorship network of co-authors of Gina Z. Lu

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

All Works

7 of 7 papers shown
1.
Jedrychowski, Mark P., Gina Z. Lu, John Szpyt, et al.. (2020). Facultative protein selenation regulates redox sensitivity, adipose tissue thermogenesis, and obesity. Proceedings of the National Academy of Sciences. 117(20). 10789–10796. 31 indexed citations
2.
Kazak, Lawrence, Janane F. Rahbani, Bożena Samborska, et al.. (2019). Ablation of adipocyte creatine transport impairs thermogenesis and causes diet-induced obesity. Nature Metabolism. 1(3). 360–370. 106 indexed citations
3.
Mills, Evanna L., Kerry A. Pierce, Mark P. Jedrychowski, et al.. (2018). Accumulation of succinate controls activation of adipose tissue thermogenesis. Nature. 560(7716). 102–106. 376 indexed citations breakdown →
4.
Kazak, Lawrence, Edward T. Chouchani, Gina Z. Lu, et al.. (2017). Genetic Depletion of Adipocyte Creatine Metabolism Inhibits Diet-Induced Thermogenesis and Drives Obesity. Cell Metabolism. 26(4). 660–671.e3. 201 indexed citations
5.
Kazak, Lawrence, Edward T. Chouchani, Irina G. Stavrovskaya, et al.. (2017). UCP1 deficiency causes brown fat respiratory chain depletion and sensitizes mitochondria to calcium overload-induced dysfunction. Proceedings of the National Academy of Sciences. 114(30). 7981–7986. 131 indexed citations
6.
Chouchani, Edward T., Lawrence Kazak, Mark P. Jedrychowski, et al.. (2016). Mitochondrial ROS regulate thermogenic energy expenditure and sulfenylation of UCP1. Nature. 532(7597). 112–116. 364 indexed citations breakdown →
7.
Kazak, Lawrence, Edward T. Chouchani, Mark P. Jedrychowski, et al.. (2015). A Creatine-Driven Substrate Cycle Enhances Energy Expenditure and Thermogenesis in Beige Fat. Cell. 163(3). 643–655. 571 indexed citations breakdown →

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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