Vera Gottstein

472 citations
11 papers · 338 · h-index 8

Impact in

    • Coffee research and impacts
  • Food Science top 10%
    • Food Chemistry and Fat Analysis
    • Food Waste Reduction and Sustainability
    • Seed and Plant Biochemistry

Papers in

Vera Gottstein

11 papers receiving 324 citations

Peers

Vera Gottstein
Comparison fields: 5 of 69
  • Pharmacology 206
  • Food Science 116
  • Pathology and Forensic Medicine 95
  • Biochemistry 21
  • Forestry 13
Replace Tábata Rajcic de Rezende with:
Tábata Rajcic de Rezende Germany
Ennio Cantergiani Switzerland
Rafael Carlos Eloy Dias Brazil
Marinês Paula Corso Brazil
Marcelo Caldeira Viegas Brazil
Murna Muzaifa Indonesia
Carmen Monente Spain
Nádia Reis Brazil
Wenny Bekti Sunarharum Indonesia
Kunyi Liu China
Vera Gottstein relative to Tábata Rajcic de Rezende Germany Tábata Rajcic de Rezende's profile →
Citations per field
00.5×1.5×1.8×
Tábata Rajcic de Rezende · 1×
Citations per year

Countries citing papers authored by Vera Gottstein

Since Specialization
Citations

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

Fields of papers citing papers by Vera Gottstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Vera Gottstein, 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 Vera Gottstein Line = papers co-authored together Vera Gottstein links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2020182
2 202148
3 202133
4 202120
5 201917
6 202211
7 202310
8 20217
9 20217
10 20232
11 20241

About Vera Gottstein

Vera Gottstein is a scholar working on Pharmacology, Pathology and Forensic Medicine, Molecular Biology, Spectroscopy and Food Science, having authored 11 papers that have together received 338 indexed citations. Recurring topics across this work include Coffee research and impacts (8 papers), Tea Polyphenols and Effects (4 papers), Food Chemistry and Fat Analysis (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Analytical Chemistry and Chromatography (3 papers), Organic Food and Agriculture (2 papers), Agricultural and Food Sciences (1 paper) and Seed and Plant Biochemistry (1 paper). The work is most often cited by research in Pharmacology (206 citations), Food Science (116 citations), Pathology and Forensic Medicine (95 citations), Biochemistry (21 citations) and Forestry (13 citations). Vera Gottstein has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Dirk W. Lachenmeier, Steffen Schwarz, Tábata Rajcic de Rezende, Thomas Kuballa, Mirko Bunzel, Judith Keller, Maria Martuscelli, Ennio Cantergiani, Simone Angeloni and Harshadrai M. Rawel. Their work appears in journals such as Foods, Chemosphere, Food Chemistry, Journal of Agricultural and Food Chemistry and Chemistry.

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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