András Ladányi
- Cancer Research top 0.5%
- Molecular Biology top 5%
- Oncology top 2%
- Biomedical Engineering top 10%
- Immunology top 10%
- Co-authors
- Ernst LengyelS. Diane YamadaHilary A. KennyKristin M. NiemanCarla PenickaIris L. RomeroMarion ZillhardtRebecca Buell‐Gutbrod
- Topics
- Molecular Biology Techniques and Applications (6 papers)Single-cell and spatial transcriptomics (4 papers)Cancer Cells and Metastasis (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- United StatesHungaryGermany
In The Last Decade
András Ladányi
26 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 1.8k
- Molecular Biology 1.6k
- Oncology 1.4k
- Biomedical Engineering 424
- Immunology 404
Countries citing papers authored by András Ladányi
This map shows the geographic impact of András Ladányi'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 András Ladányi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Ladányi more than expected).
Fields of papers citing papers by András Ladányi
This network shows the impact of papers produced by András Ladányi. 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 András Ladányi. The network helps show where András Ladányi may publish in the future.
Co-authorship network of co-authors of András Ladányi
This figure shows the co-authorship network connecting the top 25 collaborators of András Ladányi. A scholar is included among the top collaborators of András Ladányi 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 András Ladányi. András Ladányi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | Adipocyte-induced CD36 expression drives ovarian cancer progression and metastasisbreakdown → | 381 |
| 4 | 59 | |
| 5 | 116 | |
| 6 | Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growthbreakdown → | 1707 |
| 7 | 65 | |
| 8 | 3 | |
| 9 | 126 | |
| 10 | 22 | |
| 11 | 136 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 274 | |
| 15 | 19 | |
| 16 | 18 | |
| 17 | Circulating tumor cells and serum tumor biomarkers in small cell lung cancer. | 36 |
| 18 | 15 | |
| 19 | Circulating tumor cell clusters in the peripheral blood of colorectal cancer patients. | 199 |
| 20 | 4 |
About András Ladányi
András Ladányi is a scholar working on Health Informatics, Biophysics and Cancer Research, having authored 26 papers that have together received 3.5k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (6 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Cancer Research (1.8k citations), Oncology (1.4k citations) and Reproductive Medicine (302 citations). András Ladányi has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Ernst Lengyel, S. Diane Yamada, Hilary A. Kenny, Kristin M. Nieman, Carla Penicka, Iris L. Romero, Marion Zillhardt, Rebecca Buell‐Gutbrod, Marcus E. Peter and Katja Gwin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.