Gina Z. Lu

2.4k citations
7 papers · 1.8k indexed · 3 hit papers · h-index 7
Topics
Muscle metabolism and nutrition (7 papers)Adipose Tissue and Metabolism (6 papers)Exercise and Physiological Responses (3 papers)

In The Last Decade

Gina Z. Lu

7 papers receiving 1.8k citations

Hit Papers

A Creatine-Driven Substrate Cycle Enhances Energy Expendi...2015202620182022201520182016100200300400500

Peers

Gina Z. Lu
Comparison fields: 5 of 97
  • Physiology 1.4k
  • Molecular Biology 563
  • Epidemiology 545
  • Cell Biology 359
  • Rehabilitation 326
Replace Christian Schlein with:
Christian Schlein Germany
Serge Phoenix Canada
Roger A. Vaughan United States
Gemma Solanes Spain
Annie Durand France
Andreas M. Fritzen Denmark
Steve Risis Australia
Arild C. Rustan Norway
Ronald Cortright United States
Teruhiko Shimokawa Japan
Gina Z. Lu relative to Christian Schlein Germany Christian Schlein's profile →
Citations per field
00.5×1.5×2.0×
Christian Schlein · 1×
Citations per year

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
#WorkIndexed citations
1 31
2 106
3
Accumulation of succinate controls activation of adipose tissue thermogenesisbreakdown →
376
4 201
5 131
6
Mitochondrial ROS regulate thermogenic energy expenditure and sulfenylation of UCP1breakdown →
364
7
A Creatine-Driven Substrate Cycle Enhances Energy Expenditure and Thermogenesis in Beige Fatbreakdown →
571

About Gina Z. Lu

Gina Z. Lu is a scholar working on Rehabilitation, Cell Biology and Physiology, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (7 papers), Adipose Tissue and Metabolism (6 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Physiology (1.4k citations), Rehabilitation (326 citations) and Biochemistry (200 citations). Gina Z. Lu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mark P. Jedrychowski, Lawrence Kazak, Bruce M. Spiegelman, Dina Laznik-Bogoslavski, Brian K. Erickson, Steve P. Gygi, Ramalingam Vetrivelan, Shingo Kajimura, Edward T. Chouchani and Edward T. Chouchani. Their work appears in journals such as Nature, Cell 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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