Carole Mathis

2.5k citations
55 papers · 1.8k · h-index 27

Impact in

Papers in

    • Bioinformatics and Genomic Networks 7
    • Molecular Biology Techniques and Applications 6
    • Gene expression and cancer classification 6
    • Diet and metabolism studies 4

Carole Mathis

55 papers receiving 1.7k citations

Peers

Carole Mathis
Comparison fields: 5 of 121
  • Gastroenterology 170
  • Health, Toxicology and Mutagenesis 361
  • Cancer Research 265
  • Pulmonary and Respiratory Medicine 486
  • Physiology 383
Replace Masafumi Wasa with:
Masafumi Wasa Japan
Mehmet Aslan Türkiye
Lin Cong China
Youming Li China
Valentina Valenti Italy
David I. Soybel United States
Takaharu Kondo Japan
Kazuhiro Kamada Japan
Jing Tang China
Ming‐Chia Hsieh Taiwan
Carole Mathis relative to Masafumi Wasa Japan Masafumi Wasa's profile →
Citations per field
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Masafumi Wasa · 1×
Citations per year

Countries citing papers authored by Carole Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Carole Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998231
2 2013125
3 2016100
4 201276
5 201970
6 201663
7 201456
8 200353
9 201652
10 201552
11 201151
12 201550
13 201450
14 199448
15 201647
16 201346
17 201145
18 201642
19 201339
20 201438

About Carole Mathis

Carole Mathis is a scholar working on Molecular Biology, Physiology, Health, Toxicology and Mutagenesis, Surgery and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gastrointestinal motility and disorders (7 papers), Bioinformatics and Genomic Networks (7 papers), Molecular Biology Techniques and Applications (6 papers), Gene expression and cancer classification (6 papers), Advanced Chemical Sensor Technologies (5 papers), Carcinogens and Genotoxicity Assessment (5 papers), Air Quality and Health Impacts (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Gastroenterology (170 citations), Health, Toxicology and Mutagenesis (361 citations), Cancer Research (265 citations), Pulmonary and Respiratory Medicine (486 citations) and Physiology (383 citations). Carole Mathis has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Manuel C. Peitsch, Julia Hoeng, Bruce V. MacFadyen, Rosario Vecchio, Florian Martin, Charles‐Henri Malbert, Alain Sewer, Nikolai V. Ivanov, Walter K. Schlage and Stefan Frentzel. Their work appears in journals such as Bioinformatics and Biology Insights, Toxicology Letters, Food and Chemical Toxicology, BMC Systems Biology and Chemical Research in Toxicology.

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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