Daniel Gibson
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Developmental Neuroscience top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Le MaJeffrey MilbrandtAaron DiAntonioDaniel W. SummersLingfeng YangVladlen KoltunJerry O. TaltonPat Hanrahan
- Topics
- Hematopoietic Stem Cell Transplantation (5 papers)Mesenchymal stem cell research (4 papers)Axon Guidance and Neuronal Signaling (3 papers)
- Cited by
- Developmental NeuroscienceComputer Graphics and Computer-Aided DesignCellular and Molecular Neuroscience
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Daniel Gibson
21 papers receiving 612 citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 216
- Cellular and Molecular Neuroscience 196
- Cell Biology 113
- Developmental Neuroscience 77
- Computer Vision and Pattern Recognition 65
Countries citing papers authored by Daniel Gibson
This map shows the geographic impact of Daniel Gibson'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 Gibson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gibson more than expected).
Fields of papers citing papers by Daniel Gibson
This network shows the impact of papers produced by Daniel Gibson. 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 Gibson. The network helps show where Daniel Gibson may publish in the future.
Co-authorship network of co-authors of Daniel Gibson
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gibson. A scholar is included among the top collaborators of Daniel Gibson 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 Gibson. Daniel Gibson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 99 | |
| 8 | 18 | |
| 9 | 13 | |
| 10 | 66 | |
| 11 | 25 | |
| 12 | 43 | |
| 13 | 8 | |
| 14 | 37 | |
| 15 | 144 | |
| 16 | 87 | |
| 17 | 20 | |
| 18 | 19 | |
| 19 | The effects of naloxone on the changes in breathing and behaviour induced by morphine in the foetal sheep. | 5 |
| 20 | MORPHOLOGICAL AND BEHAVIORAL CONSEQUENCES OF CHROMOSOME SUBTYPE IN MONGOLISM. | 9 |
About Daniel Gibson
Daniel Gibson is a scholar working on Computer Graphics and Computer-Aided Design, Developmental Neuroscience and Hematology, having authored 22 papers that have together received 626 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Mesenchymal stem cell research (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Developmental Neuroscience (77 citations), Computer Graphics and Computer-Aided Design (43 citations) and Cellular and Molecular Neuroscience (196 citations). Daniel Gibson has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Le Ma, Jeffrey Milbrandt, Aaron DiAntonio, Daniel W. Summers, Lingfeng Yang, Vladlen Koltun, Jerry O. Talton, Pat Hanrahan, Julie L. Lefebvre and Alain Chédotal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and The Journal of Experimental 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.