Daniel Lafkas

40 total papers · 1.2k total citations
17 papers, 686 citations indexed

About

Daniel Lafkas is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Lafkas has authored 17 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Lafkas's work include Cancer Cells and Metastasis (7 papers), Developmental Biology and Gene Regulation (4 papers) and Neonatal Respiratory Health Research (3 papers). Daniel Lafkas is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Developmental Biology and Gene Regulation (4 papers) and Neonatal Respiratory Health Research (3 papers). Daniel Lafkas collaborates with scholars based in United States, France and Greece. Daniel Lafkas's co-authors include Silvia Fré, Mathilde Huyghe, Hippokratis Kiaris, Spyros Artavanis‐Tsakonas, Sanja Šale, Verónica Rodilla, Cécile Chalouni, Ali Ertürk, Fabien Reyal and Cécile Laurent and has published in prestigious journals such as The Journal of Cell Biology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel Lafkas

15 papers receiving 682 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Lafkas 343 296 147 88 73 17 686
Sandrine Eimer 244 0.7× 135 0.5× 104 0.7× 70 0.8× 28 0.4× 26 736
Shannon Tarr 317 0.9× 363 1.2× 190 1.3× 213 2.4× 47 0.6× 12 781
Féridoun Babaï 328 1.0× 94 0.3× 155 1.1× 85 1.0× 50 0.7× 18 688
Hui Zhang 284 0.8× 255 0.9× 71 0.5× 127 1.4× 37 0.5× 21 660
Lihua Zeng 233 0.7× 135 0.5× 67 0.5× 265 3.0× 35 0.5× 21 586
Michela Cortesi 288 0.8× 189 0.6× 98 0.7× 79 0.9× 28 0.4× 24 644
Ludmila Ageyeva 290 0.8× 177 0.6× 83 0.6× 123 1.4× 181 2.5× 9 626
Arwin Groenewoud 285 0.8× 182 0.6× 82 0.6× 155 1.8× 40 0.5× 30 662
R E Durand 239 0.7× 260 0.9× 146 1.0× 298 3.4× 30 0.4× 15 696
Tomáš Loja 538 1.6× 191 0.6× 57 0.4× 82 0.9× 36 0.5× 36 794

Countries citing papers authored by Daniel Lafkas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lafkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Lafkas

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lafkas. A scholar is included among the top collaborators of Daniel Lafkas 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 Daniel Lafkas. Daniel Lafkas 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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