Daniel Castranova
Impact in
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications
- Hippo pathway signaling and YAP/TAZ
- Oncology top 10%
- Lymphatic System and Diseases
Papers in
-
- Angiogenesis and VEGF in Cancer 10
- Congenital heart defects research 8
- Cell Biology 20
- Zebrafish Biomedical Research Applications 20
- Co-authors
- Brant M. Weinstein (32 shared papers)Louis Dye (5 shared papers)Sumio Isogai (4 shared papers)Jiro Hitomi (2 shared papers)Karina Yaniv (2 shared papers)Van N. Pham (13 shared papers)Aniket V. Gore (11 shared papers)Brigid D. Lo (5 shared papers)
- Journals
- Development (6 papers)Developmental Biology (3 papers)Zebrafish (3 papers)eLife (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)
- Partner nations
- United StatesHungaryJapan
In The Last Decade
Daniel Castranova
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Cell Biology 588
- Oncology 346
- Molecular Biology 840
- Neurology 65
- Cancer Research 111
Countries citing papers authored by Daniel Castranova
This map shows the geographic impact of Daniel Castranova'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 Castranova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Castranova more than expected).
Fields of papers citing papers by Daniel Castranova
This network shows the impact of papers produced by Daniel Castranova. 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 Castranova. The network helps show where Daniel Castranova may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Castranova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 386 | |
| 2 | 2006 | 172 | |
| 3 | 2017 | 87 | |
| 4 | 2011 | 85 | |
| 5 | 2016 | 74 | |
| 6 | 2018 | 74 | |
| 7 | 2017 | 63 | |
| 8 | 2011 | 60 | |
| 9 | 2014 | 44 | |
| 10 | 2015 | 43 | |
| 11 | 2018 | 35 | |
| 12 | 2016 | 35 | |
| 13 | 2016 | 33 | |
| 14 | 2012 | 33 | |
| 15 | 2020 | 29 | |
| 16 | 2020 | 25 | |
| 17 | 2022 | 22 | |
| 18 | 2017 | 21 | |
| 19 | 2016 | 20 | |
| 20 | 2020 | 20 |
About Daniel Castranova
Daniel Castranova is a scholar working on Molecular Biology, Cell Biology, Nature and Landscape Conservation, Oncology and Paleontology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (20 papers), Angiogenesis and VEGF in Cancer (10 papers), Congenital heart defects research (8 papers), Lymphatic System and Diseases (4 papers), Subterranean biodiversity and taxonomy (4 papers), Reproductive biology and impacts on aquatic species (3 papers), Fish Ecology and Management Studies (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cell Biology (588 citations), Oncology (346 citations), Molecular Biology (840 citations), Neurology (65 citations) and Cancer Research (111 citations). Daniel Castranova has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Brant M. Weinstein, Louis Dye, Sumio Isogai, Jiro Hitomi, Karina Yaniv, Van N. Pham, Aniket V. Gore, Brigid D. Lo, Andrew Davis and Joshua W. Mugford. Their work appears in journals such as Development, Developmental Biology, Zebrafish, eLife and Arteriosclerosis Thrombosis and Vascular 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.