Xavier Testar

5.8k citations
92 papers · 5k · h-index 40

Impact in

Papers in

    • Amino Acid Enzymes and Metabolism 26
    • Metabolism, Diabetes, and Cancer 37
    • Muscle Physiology and Disorders 7
    • Polyamine Metabolism and Applications 4

Xavier Testar

91 papers receiving 4.9k citations

Peers

Xavier Testar
Comparison fields: 5 of 94
  • Biochemistry 1.4k
  • Clinical Biochemistry 309
  • Molecular Biology 2.1k
  • Physiology 519
  • Endocrinology, Diabetes and Metabolism 324
Replace Marta Camps with:
Marta Camps Spain
Patricia A. Craven United States
Loranne Agius United Kingdom
W.C. Hülsmann Netherlands
Michael J. MacDonald United States
Nam Ho Jeoung South Korea
Philip John Randle United Kingdom
Christopher M. Jenkins United States
Anil K. Agarwal United States
Belinda J. Michell Australia
Xavier Testar relative to Marta Camps Spain Marta Camps's profile →
Citations per field
00.5×2×2.6×
Marta Camps · 1×
Citations per year

Countries citing papers authored by Xavier Testar

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Testar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xavier Testar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xavier Testar Line = papers co-authored together Xavier Testar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005385
2 1994314
3 1992196
4 1992194
5 1996187
6 1996152
7 1998150
8 1992146
9 1997144
10 1992128
11 1993117
12 1999113
13 1993104
14 199893
15 199491
16 199590
17 200083
18 199481
19 199780
20 199880

About Xavier Testar

Xavier Testar is a scholar working on Biochemistry, Molecular Biology, Physiology, Cell Biology and Inorganic Chemistry, having authored 92 papers that have together received 5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (37 papers), Amino Acid Enzymes and Metabolism (26 papers), Adipose Tissue and Metabolism (12 papers), Muscle Physiology and Disorders (7 papers), Vanadium and Halogenation Chemistry (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Polyamine Metabolism and Applications (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Biochemistry (1.4k citations), Clinical Biochemistry (309 citations), Molecular Biology (2.1k citations), Physiology (519 citations) and Endocrinology, Diabetes and Metabolism (324 citations). Xavier Testar has collaborated with scholars based in Spain, France and Germany. Frequent co-authors include António Zorzano, Manuel Palacı́n, Marta Camps, Perla Kaliman, Anna Castelló, Francesc Viñals, Christian Carpéné, Luc Marti, Joan Bertran and Anna Gumà. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Endocrinology, Journal of Physiology and Biochemistry and Diabetes.

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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