Eleni Kafkia

1.6k citations
13 papers · 873 indexed · 1 hit paper · h-index 11
Topics
Microbial Metabolic Engineering and Bioproduction (5 papers)Fungal and yeast genetics research (4 papers)CRISPR and Genetic Engineering (2 papers)

In The Last Decade

Eleni Kafkia

13 papers receiving 869 citations

Hit Papers

Metabolic cooperation and spatiotemporal niche partitioni...2021202620222024202150100150200

Peers

Eleni Kafkia
Comparison fields: 5 of 93
  • Molecular Biology 580
  • Food Science 284
  • Cancer Research 125
  • Nutrition and Dietetics 86
  • Biomedical Engineering 82
Replace Ke Bian with:
Ke Bian China
Qiong Zhao China
Bahman Panahi Iran
Zhengming Zhu China
Ashish Tyagi United States
Jan Kodde Netherlands
Katharina Zirngibl Germany
Yang Bai China
G. Dorado Spain
Chong Ren China
Eleni Kafkia relative to Ke Bian China Ke Bian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eleni Kafkia

Since Specialization
Citations

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

Fields of papers citing papers by Eleni Kafkia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleni Kafkia

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 16
3 48
4 73
5 26
6 37
7 12
8
Metabolic cooperation and spatiotemporal niche partitioning in a kefir microbial communitybreakdown →
209
9 18
10 41
11 3
12 268
13 119

About Eleni Kafkia

Eleni Kafkia is a scholar working on Molecular Biology, Clinical Biochemistry and Cancer Research, having authored 13 papers that have together received 873 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (5 papers), Fungal and yeast genetics research (4 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Food Science (284 citations), Molecular Biology (580 citations) and Cancer Research (125 citations). Eleni Kafkia has collaborated with scholars based in Germany, United Kingdom and Denmark. Frequent co-authors include Kiran Raosaheb Patil, Uwe Sauer, Katharina Zirngibl, Daniel C. Sévin, Athanasios Typas, Natalia Gabrielli, Olga Ponomarova, Sergej Andrejev, Markus Ralser and Michael Mülleder. Their work appears in journals such as Journal of Clinical Investigation, Molecular Cell and Nature Cell Biology.

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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