Déborah Mathis

825 citations
35 papers · 581 · h-index 13

Impact in

Papers in

    • Metabolism and Genetic Disorders 15
    • Biochemical and Molecular Research 5
    • Metabolomics and Mass Spectrometry Studies 3
    • Mitochondrial Function and Pathology 3

Déborah Mathis

32 papers receiving 573 citations

Peers

Déborah Mathis
Comparison fields: 5 of 85
  • Clinical Biochemistry 153
  • Inorganic Chemistry 88
  • Biochemistry 44
  • Process Chemistry and Technology 17
  • Organic Chemistry 170
Replace Dorinda Marques‐da‐Silva with:
Dorinda Marques‐da‐Silva Portugal
Kyung-Hoon Lee United States
Camelia Baleanu‐Gogonea United States
N. Mizuno Japan
Melanie Schürmann Germany
Devanjan Sinha India
Zizhen Zhao China
Nicholas G. Fox United States
Samantha E. Adamson United States
Sridharan Rajagopal India
Déborah Mathis relative to Dorinda Marques‐da‐Silva Portugal Dorinda Marques‐da‐Silva's profile →
Citations per field
00.5×8.5×
Dorinda Marques‐da‐Silva · 1×
Citations per year

Countries citing papers authored by Déborah Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Déborah Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Déborah Mathis, 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 Déborah Mathis Line = papers co-authored together Déborah Mathis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008125
2 201758
3 201542
4 200842
5 201940
6 201938
7 200936
8 201628
9 201526
10 201121
11 201920
12 201617
13 201614
14 201812
15 20179
16 20218
17 20207
18 20226
19 20205
20 20224

About Déborah Mathis

Déborah Mathis is a scholar working on Clinical Biochemistry, Molecular Biology, Organic Chemistry, Physiology and Rheumatology, having authored 35 papers that have together received 581 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (15 papers), Biochemical and Molecular Research (5 papers), Diet and metabolism studies (5 papers), Organometallic Complex Synthesis and Catalysis (4 papers), Muscle metabolism and nutrition (4 papers), Folate and B Vitamins Research (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Clinical Biochemistry (153 citations), Inorganic Chemistry (88 citations), Biochemistry (44 citations), Process Chemistry and Technology (17 citations) and Organic Chemistry (170 citations). Déborah Mathis has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Thomas R. Ward, Anca Pordea, Barbara Plecko, Peter Chen, Marjana Novič, Jarosław J. Panek, Carole Duboc, Marc Creus, Lisa M. Crowther and Martin Hersberger. Their work appears in journals such as Journal of Inherited Metabolic Disease, Organometallics, Clinical Biochemistry, Neuropediatrics and Nutrients.

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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