Nina Fabjan

1.2k total citations
7 papers, 1.0k citations indexed

About

Nina Fabjan is a scholar working on Nutrition and Dietetics, Food Science and Genetics. According to data from OpenAlex, Nina Fabjan has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nutrition and Dietetics, 7 papers in Food Science and 2 papers in Genetics. Recurrent topics in Nina Fabjan's work include Seed and Plant Biochemistry (7 papers), Microbial Metabolites in Food Biotechnology (5 papers) and Food composition and properties (5 papers). Nina Fabjan is often cited by papers focused on Seed and Plant Biochemistry (7 papers), Microbial Metabolites in Food Biotechnology (5 papers) and Food composition and properties (5 papers). Nina Fabjan collaborates with scholars based in Slovenia, Japan and Sweden. Nina Fabjan's co-authors include Ivan Kreft, Kenji Yasumoto, Zheng Zhang, Zhuanhua Wang, Iztok Jože Košir, Giovanni Bonafaccia, Loretta Gambelli, Dan Norbäck, Gunilla Wieslander and Christer Tagesson and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and The Tohoku Journal of Experimental Medicine.

In The Last Decade

Nina Fabjan

7 papers receiving 928 citations

Peers

Nina Fabjan
Comparison fields: 5 of 76
  • Food Science 855
  • Nutrition and Dietetics 585
  • Plant Science 199
  • Genetics 147
  • Biochemistry 140
Replace Yuji Mukasa with:
Yuji Mukasa Japan
M. Holasová Czechia
Vlasta Fiedlerová Czechia
Zorica Basić Serbia
Agnieszka Nawirska‐Olszańska Poland
Teresa Mazzeo Italy
Yujie Ma China
Rebeca Fernández-Orozco Poland
Xijuan Yang China
Tamer H. Gamel Canada
Yuji Mukasa Japan View profile →
Citations per field, relative to Nina Fabjan
Nina Fabjan · 1×
Citations per year, relative to Nina Fabjan
Nina Fabjan · 1×

Countries citing papers authored by Nina Fabjan

Since Specialization
Citations

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

Fields of papers citing papers by Nina Fabjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Fabjan

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

All Works

7 of 7 papers shown
# Work Indexed citations
1
Effects of common and Tartary buckwheat consumption on mucosal symptoms, headache and tiredness : A double-blind crossover intervention study
30
2 79
3 287
4 122
5 26
6 453
7
Rutin, quercitrin and quercetin in buckwheat
4

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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