Daniel Lafkas

1.2k citations
17 papers · 695 · h-index 12

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Cancer Cells and Metastasis 7
    • Cancer-related Molecular Pathways 2
    • Developmental Biology and Gene Regulation 4
    • Single-cell and spatial transcriptomics 2
    • Epigenetics and DNA Methylation 2

Daniel Lafkas

15 papers receiving 691 citations

Peers

Daniel Lafkas
Comparison fields: 5 of 86
  • Oncology 298
  • Biophysics 53
  • Cancer Research 88
  • Molecular Biology 346
  • Pulmonary and Respiratory Medicine 149
Replace Jonatan Snir with:
Jonatan Snir Canada
Eduard B. Dinca United Kingdom
Shannon Donnola United States
Carl Koschmann United States
Guénaëlle Levallet France
Maricruz Rivera United States
Tomáš Loja Czechia
Geir Olav Hjortland Norway
Ludmila Ageyeva United States
Andrea D. Manazza Italy
Daniel Lafkas relative to Jonatan Snir Canada Jonatan Snir's profile →
Citations per field
00.5×1.5×2.3×
Jonatan Snir · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Lafkas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Lafkas Line = papers co-authored together Daniel Lafkas links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2011107
2 202098
3 201591
4 201089
5 201378
6 201365
7 201452
8 200835
9 202119
10 200817
11 202115
12 201415
13 201111
14 20202
15 20241
16 20240
17 20240

About Daniel Lafkas

Daniel Lafkas is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 695 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Developmental Biology and Gene Regulation (4 papers), Neonatal Respiratory Health Research (3 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Oncology (298 citations), Biophysics (53 citations), Cancer Research (88 citations), Molecular Biology (346 citations) and Pulmonary and Respiratory Medicine (149 citations). Daniel Lafkas has collaborated with scholars based in United States, France and Greece. Frequent co-authors include Silvia Fré, Mathilde Huyghe, Hippokratis Kiaris, Sanja Šale, Spyros Artavanis‐Tsakonas, Verónica Rodilla, Ali Ertürk, Cécile Chalouni, Cécile Laurent and Fabien Reyal. Their work appears in journals such as Journal of Visualized Experiments, PLoS ONE, The Journal of Cell Biology, Cell Reports and Journal of Endodontics.

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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