X. Julia Xu

2.3k citations
15 papers · 1.9k indexed · 1 hit paper · h-index 15
Topics
Metabolism, Diabetes, and Cancer (6 papers)Adipose Tissue and Metabolism (6 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)

In The Last Decade

X. Julia Xu

15 papers receiving 1.9k citations

Hit Papers

AMPK and SIRT1: a long-standing partnership?20102026201520202010200400600

Peers

X. Julia Xu
Comparison fields: 5 of 94
  • Molecular Biology 948
  • Physiology 759
  • Epidemiology 494
  • Geriatrics and Gerontology 288
  • Endocrinology, Diabetes and Metabolism 258
Replace Nathan Qi with:
Nathan Qi United States
Takeshi Yoshizaki Japan
Paul Caton United Kingdom
Josep A. Villena Spain
Louise Lantier United States
William Jou United States
Matthew P. Gillum Denmark
David W. Frederick United States
Rongya Tao United States
Mengen Zhai China
X. Julia Xu relative to Nathan Qi United States Nathan Qi's profile →
Citations per field
00.5×
Nathan Qi · 1×
Citations per year

Countries citing papers authored by X. Julia Xu

Since Specialization
Citations

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

Fields of papers citing papers by X. Julia Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X. Julia Xu. 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 X. Julia Xu. The network helps show where X. Julia Xu may publish in the future.

Co-authorship network of co-authors of X. Julia Xu

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 23
2 179
3 63
4 16
5 61
6 149
7
AMPK and SIRT1: a long-standing partnership?breakdown →
738
8 178
9 43
10 83
11 60
12 25
13 124
14 93
15 103

About X. Julia Xu

X. Julia Xu is a scholar working on Biochemistry, Physiology and Geriatrics and Gerontology, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Adipose Tissue and Metabolism (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Geriatrics and Gerontology (288 citations), Physiology (759 citations) and Aging (44 citations). X. Julia Xu has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Neil B. Ruderman, José M. Cacicedo, Asish K. Saha, Lan Fan, Lauren Nelson, Yasuo Ido, Suzanne M. de la Monte, Jack R. Wands, Caroline M. Apovian and Noyan Gokce. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Hepatology.

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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