Déborah Mathis
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
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- Metabolism and Genetic Disorders 16
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- Mitochondrial Function and Pathology 4
- Biochemical and Molecular Research 4
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Thomas R. Ward (2 shared papers)Anca Pordea (2 shared papers)Barbara Plecko (9 shared papers)Peter Chen (4 shared papers)Lisa M. Crowther (6 shared papers)Marc Creus (1 shared paper)Carole Duboc (1 shared paper)Jarosław J. Panek (1 shared paper)
- Journals
- Journal of Inherited Metabolic Disease (9 papers)Organometallics (3 papers)Clinical Biochemistry (3 papers)Neuropediatrics (2 papers)Nutrients (1 paper)
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Déborah Mathis
34 papers receiving 633 citations
Peers
Comparison fields: 5 of 82
- Clinical Biochemistry 173
- Process Chemistry and Technology 21
- Inorganic Chemistry 97
- Organic Chemistry 188
- Biochemistry 39
Countries citing papers authored by Déborah Mathis
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
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.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 136 | |
| 2 | 2017 | 63 | |
| 3 | 2008 | 48 | |
| 4 | 2015 | 45 | |
| 5 | 2019 | 43 | |
| 6 | 2019 | 40 | |
| 7 | 2009 | 38 | |
| 8 | 2016 | 31 | |
| 9 | 2015 | 30 | |
| 10 | 2011 | 23 | |
| 11 | 2019 | 21 | |
| 12 | 2016 | 21 | |
| 13 | 2018 | 16 | |
| 14 | 2016 | 16 | |
| 15 | 2020 | 10 | |
| 16 | 2017 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2020 | 5 |
About Déborah Mathis
Déborah Mathis is a scholar working on Clinical Biochemistry, Molecular Biology, Organic Chemistry, Physiology and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 643 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (16 papers), Folate and B Vitamins Research (4 papers), Organometallic Complex Synthesis and Catalysis (4 papers), Mitochondrial Function and Pathology (4 papers), Biochemical and Molecular Research (4 papers), Diet and metabolism studies (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Cyclopropane Reaction Mechanisms (2 papers). The work is most often cited by research in Clinical Biochemistry (173 citations), Process Chemistry and Technology (21 citations), Inorganic Chemistry (97 citations), Organic Chemistry (188 citations) and Biochemistry (39 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, Lisa M. Crowther, Marc Creus, Carole Duboc, Jarosław J. Panek, Marjana Novič 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.