Daniel Lafkas
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
- Oncology 8
- Cancer Cells and Metastasis 6
- Cancer-related Molecular Pathways 2
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- Developmental Biology and Gene Regulation 4
- Epigenetics and DNA Methylation 2
- Single-cell and spatial transcriptomics 2
- Co-authors
- Mathilde Huyghe (3 shared papers)Silvia Fré (3 shared papers)Hippokratis Kiaris (5 shared papers)Sanja Šale (2 shared papers)Spyros Artavanis‐Tsakonas (2 shared papers)Verónica Rodilla (2 shared papers)Cécile Chalouni (2 shared papers)Ali Ertürk (2 shared papers)
- Journals
- PLoS ONE (2 papers)Journal of Visualized Experiments (2 papers)Journal of Endodontics (1 paper)American Journal of Respiratory and Critical Care Medicine (1 paper)PLoS Biology (1 paper)
- Partner nations
- United StatesFranceGreece
In The Last Decade
Daniel Lafkas
15 papers receiving 718 citations
Peers
Comparison fields: 5 of 83
- Oncology 293
- Biophysics 50
- Cancer Research 89
- Pulmonary and Respiratory Medicine 150
- Molecular Biology 339
Countries citing papers authored by Daniel Lafkas
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 115 | |
| 2 | 2020 | 107 | |
| 3 | 2015 | 93 | |
| 4 | 2010 | 91 | |
| 5 | 2013 | 81 | |
| 6 | 2013 | 67 | |
| 7 | 2014 | 52 | |
| 8 | 2008 | 36 | |
| 9 | 2021 | 20 | |
| 10 | 2008 | 18 | |
| 11 | 2021 | 15 | |
| 12 | 2014 | 15 | |
| 13 | 2011 | 12 | |
| 14 | 2020 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 |
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 726 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Developmental Biology and Gene Regulation (4 papers), Neonatal Respiratory Health Research (3 papers), Cell Image Analysis Techniques (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related Molecular Pathways (2 papers), Single-cell and spatial transcriptomics (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Oncology (293 citations), Biophysics (50 citations), Cancer Research (89 citations), Pulmonary and Respiratory Medicine (150 citations) and Molecular Biology (339 citations). Daniel Lafkas has collaborated with scholars based in United States, France and Greece. Frequent co-authors include Mathilde Huyghe, Silvia Fré, Hippokratis Kiaris, Sanja Šale, Spyros Artavanis‐Tsakonas, Verónica Rodilla, Cécile Chalouni, Ali Ertürk, Fabien Reyal and Cécile Laurent. Their work appears in journals such as PLoS ONE, Journal of Visualized Experiments, Journal of Endodontics, American Journal of Respiratory and Critical Care Medicine and PLoS 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.