Xavier Testar

5.9k citations
91 papers · 4.8k · h-index 40

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 33
    • Microbial metabolism and enzyme function 14
    • Ion channel regulation and function 10
    • Amino Acid Enzymes and Metabolism 19
    • Biochemical Acid Research Studies 14

Xavier Testar

91 papers receiving 4.7k citations

Peers

Xavier Testar
Comparison fields: 5 of 108
  • Biochemistry 1.6k
  • Clinical Biochemistry 759
  • Molecular Biology 2.8k
  • Physiology 894
  • Cell Biology 501
Replace Nanda M. Verhoeven with:
Nanda M. Verhoeven Netherlands
Hiroko Segawa Japan
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Roxanne K. Barrow United States
John J. Egan United States
R M Denton United Kingdom
R. B. H. Schutgens Netherlands
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Belinda J. Michell Australia
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Citations per field
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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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005365
2 1994284
3 1996190
4 1992179
5 1992177
6 1998151
7 1996143
8 1992143
9 1997136
10 1992116
11 1999112
12 1993107
13 199894
14 199491
15 199390
16 200081
17 199479
18 199879
19 199578
20
Molecular genetics of cystinuria: identification of four new mutations and seven polymorphisms, and evidence for genetic heterogeneity.
199573

About Xavier Testar

Xavier Testar is a scholar working on Molecular Biology, Biochemistry, Physiology, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 91 papers that have together received 4.8k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (33 papers), Amino Acid Enzymes and Metabolism (19 papers), Adipose Tissue and Metabolism (17 papers), Microbial metabolism and enzyme function (14 papers), Biochemical Acid Research Studies (14 papers), Ion channel regulation and function (10 papers), Metabolism and Genetic Disorders (9 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Biochemistry (1.6k citations), Clinical Biochemistry (759 citations), Molecular Biology (2.8k citations), Physiology (894 citations) and Cell Biology (501 citations). Xavier Testar has collaborated with scholars based in Spain, France and Italy. Frequent co-authors include António Zorzano, Manuel Palacı́n, Marta Camps, Perla Kaliman, Anna Castelló, Christian Carpéné, Francesc Viñals, Luc Marti, Anna Gumà and Joan Bertran. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Endocrinology, Journal of Physiology and Biochemistry 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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