Daniel F. Woods
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Immunology top 10%
- Insect Science top 2%
- Co-authors
- Peter J. BryantRobin W. JusticeOlav ZilianMarkus NollColleen D. HoughSpiros D. DimitratosGiuliano CallainiDavid Peel
- Topics
- Neurobiology and Insect Physiology Research (12 papers)Invertebrate Immune Response Mechanisms (10 papers)Hippo pathway signaling and YAP/TAZ (8 papers)
- Partner nations
- United StatesGreeceSwitzerland
In The Last Decade
Daniel F. Woods
30 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 2.5k
- Cell Biology 2.0k
- Cellular and Molecular Neuroscience 990
- Immunology 386
- Insect Science 329
Countries citing papers authored by Daniel F. Woods
This map shows the geographic impact of Daniel F. Woods'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 F. Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Woods more than expected).
Fields of papers citing papers by Daniel F. Woods
This network shows the impact of papers produced by Daniel F. Woods. 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 F. Woods. The network helps show where Daniel F. Woods may publish in the future.
Co-authorship network of co-authors of Daniel F. Woods
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Woods. A scholar is included among the top collaborators of Daniel F. Woods 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 F. Woods. Daniel F. Woods is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 13 | |
| 3 | 190 | |
| 4 | 60 | |
| 5 | 52 | |
| 6 | 28 | |
| 7 | 190 | |
| 8 | 21 | |
| 9 | 126 | |
| 10 | 46 | |
| 11 | Tumor suppressor genes and signal transduction in Drosophila. | 8 |
| 12 | 180 | |
| 13 | 79 | |
| 14 | 18 | |
| 15 | 148 | |
| 16 | The discs-large tumor suppressor gene of Drosophila encodes a guanylate kinase homolog localized at septate junctionsbreakdown → | 769 |
| 17 | 39 | |
| 18 | 145 | |
| 19 | 8 | |
| 20 | 19 |
About Daniel F. Woods
Daniel F. Woods is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Aging, having authored 30 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (12 papers), Invertebrate Immune Response Mechanisms (10 papers) and Hippo pathway signaling and YAP/TAZ (8 papers). The work is most often cited by research in Cell Biology (2.0k citations), Aging (133 citations) and Cellular and Molecular Neuroscience (990 citations). Daniel F. Woods has collaborated with scholars based in United States, Greece and Switzerland. Frequent co-authors include Peter J. Bryant, Robin W. Justice, Olav Zilian, Markus Noll, Colleen D. Hough, Spiros D. Dimitratos, Giuliano Callaini, David Peel, Kellie L. Watson and Dean G. Stathakis. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.
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.