Katerina Pardali

2.7k total citations
28 papers, 2.2k citations indexed

About

Katerina Pardali is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Katerina Pardali has authored 28 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Oncology. Recurrent topics in Katerina Pardali's work include TGF-β signaling in diseases (9 papers), IL-33, ST2, and ILC Pathways (7 papers) and Asthma and respiratory diseases (6 papers). Katerina Pardali is often cited by papers focused on TGF-β signaling in diseases (9 papers), IL-33, ST2, and ILC Pathways (7 papers) and Asthma and respiratory diseases (6 papers). Katerina Pardali collaborates with scholars based in Sweden, Netherlands and United Kingdom. Katerina Pardali's co-authors include Aristidis Moustakas, Dimitris Kardassis, Carl-Henrik Heldin, Akira Kurisaki, Peter ten Dijke, Anita Morén, Carl‐Henrik Heldin, Paraskevi Papakosta, Carl‐Henrik Heldin and Hideki Niimi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Katerina Pardali

27 papers receiving 2.1k citations

Peers

Katerina Pardali
Comparison fields: 5 of 110
  • Molecular Biology 1.5k
  • Oncology 647
  • Immunology 350
  • Cancer Research 298
  • Surgery 262
Replace Bayasi Guleng with:
Bayasi Guleng China
Vijaya Chaturvedi United States
Borja Sáez United States
Takeshi Inukai Japan
Jenny Yuan United States
Tushar D. Bhagat United States
Kiyotsugu Yoshikawa Japan
Vukoslav Komnenovic Austria
Andrea Bredemeyer United States
Maria Luisa Sulis United States
Bayasi Guleng China View profile →
Citations per field, relative to Katerina Pardali
Katerina Pardali · 1×
Citations per year, relative to Katerina Pardali
Katerina Pardali · 1×

Countries citing papers authored by Katerina Pardali

Since Specialization
Citations

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

Fields of papers citing papers by Katerina Pardali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katerina Pardali

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 4
4 18
5 17
6 32
7 2
8 71
9 4
10 64
11 4
12 2
13 17
14 18
15 24
16 29
17 445
18 92
19 440
20 36

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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