Konstantia Kodella

1.1k total citations
9 papers, 451 citations indexed

About

Konstantia Kodella is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Konstantia Kodella has authored 9 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Physiology and 1 paper in Molecular Biology. Recurrent topics in Konstantia Kodella's work include Adipokines, Inflammation, and Metabolic Diseases (2 papers), Adipose Tissue and Metabolism (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). Konstantia Kodella is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (2 papers), Adipose Tissue and Metabolism (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). Konstantia Kodella collaborates with scholars based in United States, Greece and United Kingdom. Konstantia Kodella's co-authors include Lorna Ewart, Katia Karalis, Dimitris V. Manatakis, Ηλίας Σ. Μανωλάκος, Iosif Pediaditakis, Debora B. Petropolis, Geraldine A. Hamilton, William Tien-Street, Chris Hinojosa and Lee L. Rubin and has published in prestigious journals such as Nature Communications, Lab on a Chip and Cell Reports.

In The Last Decade

Konstantia Kodella

8 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Konstantia Kodella United States	6	277	97	89	77	62	9	451
Mari Maezawa Japan	5	243 0.9×	85 0.9×	263 3.0×	35 0.5×	196 3.2×	7	681
Geraldine A. Hamilton United States	5	264 1.0×	70 0.7×	150 1.7×	57 0.7×	60 1.0×	10	474
Yu‐Jie Huang Taiwan	6	98 0.4×	95 1.0×	72 0.8×	32 0.4×	23 0.4×	9	320
Myung Geun Kook South Korea	10	94 0.3×	24 0.2×	115 1.3×	43 0.6×	24 0.4×	16	285
Germán Belenguer Spain	10	33 0.1×	63 0.6×	206 2.3×	71 0.9×	108 1.7×	16	477
Dana Jung South Korea	6	85 0.3×	49 0.5×	323 3.6×	34 0.4×	12 0.2×	9	462
Po‐Cheng Lin Taiwan	10	50 0.2×	48 0.5×	118 1.3×	23 0.3×	14 0.2×	17	304
Shane Gao China	13	30 0.1×	59 0.6×	258 2.9×	59 0.8×	21 0.3×	21	496
Shanshan Wu China	7	149 0.5×	65 0.7×	213 2.4×	7 0.1×	21 0.3×	16	415
Shuwen Shen China	10	17 0.1×	78 0.8×	272 3.1×	90 1.2×	18 0.3×	27	518

Countries citing papers authored by Konstantia Kodella

Since Specialization

Citations

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

Fields of papers citing papers by Konstantia Kodella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konstantia Kodella

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

All Works

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9 of 9 papers shown

Bergen, Volker, Konstantia Kodella, Ornella Barrandon, et al.. (2025). A large-scale human toxicogenomics resource for drug-induced liver injury prediction. Nature Communications. 16(1). 9860–9860.

Pediaditakis, Iosif, Konstantia Kodella, Dimitris V. Manatakis, et al.. (2022). A microengineered Brain-Chip to model neuroinflammation in humans. iScience. 25(8). 104813–104813. 49 indexed citations

Pediaditakis, Iosif, Konstantia Kodella, Dimitris V. Manatakis, et al.. (2021). Modeling alpha-synuclein pathology in a human brain-chip to assess blood-brain barrier disruption. Nature Communications. 12(1). 5907–5907. 150 indexed citations

Nawroth, Janna, Debora B. Petropolis, Dimitris V. Manatakis, et al.. (2021). Modeling alcohol-associated liver disease in a human Liver-Chip. Cell Reports. 36(3). 109393–109393. 60 indexed citations

Peel, S, Adam Corrigan, Beate Ehrhardt, et al.. (2019). Introducing an automated high content confocal imaging approach for Organs-on-Chips. Lab on a Chip. 19(3). 410–421. 73 indexed citations

Foster, Alison J., Sophie Regan, Linda C. Andersson, et al.. (2019). Integrated in vitro models for hepatic safety and metabolism: evaluation of a human Liver-Chip and liver spheroid. Archives of Toxicology. 93(4). 1021–1037. 85 indexed citations

Kodela, Elisavet, Sevasti Karaliota, Yassemi Koutmani, et al.. (2018). Strain-specific Differences in the Effects of Lymphocytes on the Development of Insulin Resistance and Obesity in Mice.. PubMed. 68(1). 15–24. 3 indexed citations

Karaliota, Sevasti, Elisavet Kodela, Maria Salagianni, et al.. (2018). CD8+ T cells in beige adipogenesis and energy homeostasis. JCI Insight. 3(5). 30 indexed citations

Jang, Kyung‐Jin, Monicah A. Otieno, Janey Ronxhi, et al.. (2018). Liver-chip identifies mitochondrial dysfunction, oxidative stress, and innate immune response as potential pathways of toxicity for the GPR40 agonist TAK-875. Toxicology Letters. 295. S129–S130. 1 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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