Claudia C. Gras

12 total papers · 437 total citations
9 papers, 325 citations indexed

About

Claudia C. Gras is a scholar working on Biochemistry, Complementary and alternative medicine and Molecular Biology. According to data from OpenAlex, Claudia C. Gras has authored 9 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biochemistry, 3 papers in Complementary and alternative medicine and 2 papers in Molecular Biology. Recurrent topics in Claudia C. Gras's work include Phytochemicals and Antioxidant Activities (6 papers), Herbal Medicine Research Studies (2 papers) and Sesquiterpenes and Asteraceae Studies (2 papers). Claudia C. Gras is often cited by papers focused on Phytochemicals and Antioxidant Activities (6 papers), Herbal Medicine Research Studies (2 papers) and Sesquiterpenes and Asteraceae Studies (2 papers). Claudia C. Gras collaborates with scholars based in Germany, Saudi Arabia and Costa Rica. Claudia C. Gras's co-authors include Reinhold Carle, Ralf M. Schweiggert, Sebastián Leptihn, Kurt Appel, Eduardo Muñóz, Juan A. Collado, Peter Meiser, Estrella Millán, Patricia Esquivel and Jürgen Conrad and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Food Research International.

In The Last Decade

Claudia C. Gras

9 papers receiving 320 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Claudia C. Gras 200 112 82 63 54 9 325
Gayan Chandrajith Vidana Gamage 161 0.8× 143 1.3× 65 0.8× 89 1.4× 38 0.7× 10 309
Octavia Gligor 140 0.7× 105 0.9× 73 0.9× 74 1.2× 37 0.7× 11 285
Tessei Umeda 207 1.0× 103 0.9× 108 1.3× 82 1.3× 41 0.8× 8 353
Dariane Trivisiol da Silva 124 0.6× 98 0.9× 54 0.7× 50 0.8× 36 0.7× 12 352
Dong‐Bor Yeh 113 0.6× 101 0.9× 73 0.9× 74 1.2× 40 0.7× 11 337
Shih-Chuan Liu 128 0.6× 106 0.9× 114 1.4× 93 1.5× 33 0.6× 10 349
Nguyen Thai Huynh 140 0.7× 144 1.3× 98 1.2× 68 1.1× 70 1.3× 9 325
Jae‐Hoon Kwak 133 0.7× 101 0.9× 74 0.9× 56 0.9× 31 0.6× 13 342
Weiwei Guo 93 0.5× 106 0.9× 101 1.2× 75 1.2× 71 1.3× 13 322
Ali Zaiter 117 0.6× 129 1.2× 64 0.8× 122 1.9× 30 0.6× 13 322

Countries citing papers authored by Claudia C. Gras

Since Specialization
Citations

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

Fields of papers citing papers by Claudia C. Gras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia C. Gras. 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 Claudia C. Gras. The network helps show where Claudia C. Gras may publish in the future.

Co-authorship network of co-authors of Claudia C. Gras

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia C. Gras. A scholar is included among the top collaborators of Claudia C. Gras 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 Claudia C. Gras. Claudia C. Gras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026