Vera Gottstein

472 total citations
11 papers, 338 citations indexed

About

Vera Gottstein is a scholar working on Pharmacology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Vera Gottstein has authored 11 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 4 papers in Pathology and Forensic Medicine and 3 papers in Molecular Biology. Recurrent topics in Vera Gottstein's work include Coffee research and impacts (8 papers), Tea Polyphenols and Effects (4 papers) and Food Chemistry and Fat Analysis (3 papers). Vera Gottstein is often cited by papers focused on Coffee research and impacts (8 papers), Tea Polyphenols and Effects (4 papers) and Food Chemistry and Fat Analysis (3 papers). Vera Gottstein collaborates with scholars based in Germany, Italy and Spain. Vera Gottstein's co-authors include Dirk W. Lachenmeier, Steffen Schwarz, Tábata Rajcic de Rezende, Thomas Kuballa, Mirko Bunzel, Judith Keller, Ennio Cantergiani, María Á. Martín-Cabrejas, Simone Angeloni and Maria Martuscelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Vera Gottstein

11 papers receiving 324 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vera Gottstein Germany 8 206 116 95 47 34 11 338
Tábata Rajcic de Rezende Germany 4 170 0.8× 82 0.7× 81 0.9× 38 0.8× 22 0.6× 7 246
Rafael Carlos Eloy Dias Brazil 11 325 1.6× 106 0.9× 156 1.6× 51 1.1× 26 0.8× 25 401
Ennio Cantergiani Switzerland 6 175 0.8× 122 1.1× 98 1.0× 47 1.0× 13 0.4× 9 315
Murna Muzaifa Indonesia 10 164 0.8× 153 1.3× 78 0.8× 61 1.3× 40 1.2× 75 329
Marcelo Caldeira Viegas Brazil 10 272 1.3× 206 1.8× 151 1.6× 75 1.6× 31 0.9× 15 456
Kunyi Liu China 11 69 0.3× 141 1.2× 128 1.3× 46 1.0× 50 1.5× 44 285
Carmen Monente Spain 5 263 1.3× 113 1.0× 149 1.6× 64 1.4× 49 1.4× 5 428
Marinês Paula Corso Brazil 13 147 0.7× 233 2.0× 69 0.7× 135 2.9× 43 1.3× 25 486
Agnieszka Golon Germany 8 76 0.4× 88 0.8× 76 0.8× 33 0.7× 65 1.9× 12 329
Sudarminto Setyo Yuwono Indonesia 12 62 0.3× 281 2.4× 40 0.4× 68 1.4× 55 1.6× 91 458

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-authorship network of co-authors of Vera Gottstein

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Gottstein. A scholar is included among the top collaborators of Vera Gottstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vera Gottstein. Vera Gottstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Gottstein, Vera, Dirk W. Lachenmeier, Thomas Kuballa, & Mirko Bunzel. (2024). Fully automatic quantitation of eight different metabolites in coffee using 1H‐NMR spectroscopy and the PULCON methodology. 4(3). 163–174. 1 indexed citations
3.
Gottstein, Vera, Dirk W. Lachenmeier, Thomas Kuballa, & Mirko Bunzel. (2023). 1H NMR-based approach to determine the geographical origin and cultivation method of roasted coffee. Food Chemistry. 433. 137278–137278. 10 indexed citations
4.
Gottstein, Vera, et al.. (2022). An Easy and Reliable Method for the Mitigation of Deuterated Chloroform Decomposition to Stabilise Susceptible NMR Samples. Chemistry. 4(3). 776–785. 11 indexed citations
5.
Gottstein, Vera, Judith Keller, Steffen Schwarz, et al.. (2021). Coffee Silver Skin: Chemical Characterization with Special Consideration of Dietary Fiber and Heat-Induced Contaminants. Foods. 10(8). 1705–1705. 48 indexed citations
6.
Gottstein, Vera, et al.. (2021). Evaluation of Analytical Methods to Determine Regulatory Compliance of Coffee Leaf Tea. SHILAP Revista de lepidopterología. 45–45. 7 indexed citations
7.
Lachenmeier, Dirk W., Steffen Schwarz, Ennio Cantergiani, et al.. (2021). Coffee By-Products as Sustainable Novel Foods: Report of the 2nd International Electronic Conference on Foods—“Future Foods and Food Technologies for a Sustainable World”. Foods. 11(1). 3–3. 33 indexed citations
9.
Gottstein, Vera, et al.. (2021). Comprehensive LC-HRMS metabolomics analyses for the estimation of environmental inputs of altrenogest in pig breeding. Chemosphere. 287(Pt 3). 132353–132353. 7 indexed citations
11.
Gottstein, Vera, et al.. (2019). Direct 1H NMR Quantitation of Valuable Furan Fatty Acids in Fish Oils and Fish Oil Fractions. Journal of Agricultural and Food Chemistry. 67(42). 11788–11795. 17 indexed citations

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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