Scott T. Dougan
- Molecular Biology top 2%
- Cell Biology top 1%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Immunology top 10%
- Co-authors
- Stephen DiNardoWilliam S. TalbotAlexander F. SchierMorgan ShengGrant McFaddenHoward I. SirotkinBenjamin FeldmanLouise V. O’Keefe
- Topics
- Developmental Biology and Gene Regulation (14 papers)Congenital heart defects research (7 papers)Zebrafish Biomedical Research Applications (7 papers)
- Partner nations
- United StatesIsraelPoland
In The Last Decade
Scott T. Dougan
26 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 3.0k
- Cell Biology 935
- Genetics 565
- Cellular and Molecular Neuroscience 399
- Immunology 249
Countries citing papers authored by Scott T. Dougan
This map shows the geographic impact of Scott T. Dougan'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 Scott T. Dougan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott T. Dougan more than expected).
Fields of papers citing papers by Scott T. Dougan
This network shows the impact of papers produced by Scott T. Dougan. 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 Scott T. Dougan. The network helps show where Scott T. Dougan may publish in the future.
Co-authorship network of co-authors of Scott T. Dougan
This figure shows the co-authorship network connecting the top 25 collaborators of Scott T. Dougan. A scholar is included among the top collaborators of Scott T. Dougan 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 Scott T. Dougan. Scott T. Dougan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 20 | |
| 5 | 9 | |
| 6 | 384 | |
| 7 | 133 | |
| 8 | 86 | |
| 9 | 35 | |
| 10 | 65 | |
| 11 | 106 | |
| 12 | 33 | |
| 13 | 15 | |
| 14 | 47 | |
| 15 | arrow encodes an LDL-receptor-related protein essential for Wingless signallingbreakdown → | 700 |
| 16 | 101 | |
| 17 | 169 | |
| 18 | Zebrafish organizer development and germ-layer formation require nodal-related signalsbreakdown → | 569 |
| 19 | 102 | |
| 20 | 105 |
About Scott T. Dougan
Scott T. Dougan is a scholar working on Cell Biology, Molecular Biology and Genetics, having authored 26 papers that have together received 3.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (14 papers), Congenital heart defects research (7 papers) and Zebrafish Biomedical Research Applications (7 papers). The work is most often cited by research in Cell Biology (935 citations), Molecular Biology (3.0k citations) and Cellular and Molecular Neuroscience (399 citations). Scott T. Dougan has collaborated with scholars based in United States, Israel and Poland. Frequent co-authors include Stephen DiNardo, William S. Talbot, Alexander F. Schier, Morgan Sheng, Grant McFadden, Howard I. Sirotkin, Benjamin Feldman, Louise V. O’Keefe, M. E. Greenberg and Elizabeth S. Egan. Their work appears in journals such as Nature, Molecular and Cellular Biology and 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.