Veronika Faist

1.3k citations
19 papers · 1.1k indexed · h-index 16

Veronika Faist

19 papers receiving 1.0k citations

Peers

Veronika Faist
Comparison fields: 5 of 90
  • Clinical Biochemistry 678
  • Biochemistry 177
  • Endocrinology, Diabetes and Metabolism 300
  • Nutrition and Dietetics 185
  • Pathology and Forensic Medicine 191
Replace Philippe Jacolot with:
Philippe Jacolot France
S I Koo United States
Irene Roncero‐Ramos Spain
M. M. Kesavulu India
Thavaree Thilavech Thailand
Diana Bunzel Germany
Kei Tamaya Japan
Jenna Pekkinen Finland
Chaoyi Xue China
Nobuhiro Fukuda Japan
Veronika Faist relative to Philippe Jacolot France Philippe Jacolot's profile →
Citations per field
00.5×2.6×
Philippe Jacolot · 1×
Citations per year

Countries citing papers authored by Veronika Faist

Since Specialization
Citations

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

Fields of papers citing papers by Veronika Faist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 200338
2 200361
3 2003135
4 200231
5
Effects of Different Molecular Weight Fractions Isolated from Malt on the Enzyme Activities of NADPH-Cytochrome c-Reductase and Glutathion-S-transferase in Caco-2 Cells
20021
6 2002158
7 200210
8 20023
9 200118
10 200180
11 200130
12 200120
13 200172
14 2001154
15 200142
16 200174
17 200036
18 1999107
19 199822

About Veronika Faist

Veronika Faist is a scholar working on Clinical Biochemistry, Pathology and Forensic Medicine and Biochemistry, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (12 papers), Biochemical effects in animals (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Alcohol Consumption and Health Effects (4 papers), Diet, Metabolism, and Disease (3 papers), Food Quality and Safety Studies (2 papers), Phytochemicals and Antioxidant Activities (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Clinical Biochemistry (678 citations), Biochemistry (177 citations) and Endocrinology, Diabetes and Metabolism (300 citations). Veronika Faist has collaborated with scholars based in Germany, Austria and Slovakia. Frequent co-authors include Helmut F. Erbersdobler, Thomas Hofmann, Michael Lindenmeier, Stephan Drusch, Katarı́na Šebeková, A. Heidland, Reinhard Schinzel, Ibrahim Elmadfa, Vincenzo Fogliano and Rainer Günther. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Biochemical and Biophysical Research Communications.

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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