Andrew Goodearl
- Molecular Biology top 10%
- Immunology top 10%
- Oncology top 10%
- Cellular and Molecular Neuroscience top 5%
- Hematology top 5%
- Co-authors
- Troy W. ChickeringTimothy VartanianGerald D. FischbachAndrea ViehöverDavid P. GearingSean A. McCarthySamantha J. BusfieldKeith Robison
- Topics
- Axon Guidance and Neuronal Signaling (6 papers)Nerve injury and regeneration (4 papers)Cell Adhesion Molecules Research (4 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Andrew Goodearl
25 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 725
- Immunology 338
- Oncology 313
- Cellular and Molecular Neuroscience 276
- Hematology 218
Countries citing papers authored by Andrew Goodearl
This map shows the geographic impact of Andrew Goodearl'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 Andrew Goodearl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Goodearl more than expected).
Fields of papers citing papers by Andrew Goodearl
This network shows the impact of papers produced by Andrew Goodearl. 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 Andrew Goodearl. The network helps show where Andrew Goodearl may publish in the future.
Co-authorship network of co-authors of Andrew Goodearl
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Goodearl. A scholar is included among the top collaborators of Andrew Goodearl 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 Andrew Goodearl. Andrew Goodearl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 25 | |
| 7 | 42 | |
| 8 | 14 | |
| 9 | 207 | |
| 10 | 9 | |
| 11 | 43 | |
| 12 | 53 | |
| 13 | 25 | |
| 14 | 4 | |
| 15 | 411 | |
| 16 | 27 | |
| 17 | 78 | |
| 18 | Trophic interactions at developing synapses. | 3 |
| 19 | 1 | |
| 20 | 15 |
About Andrew Goodearl
Andrew Goodearl is a scholar working on Immunology and Allergy, Equine and Hematology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (6 papers), Nerve injury and regeneration (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Developmental Neuroscience (116 citations), Immunology and Allergy (128 citations) and Hematology (218 citations). Andrew Goodearl has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Troy W. Chickering, Timothy Vartanian, Gerald D. Fischbach, Andrea Viehöver, David P. Gearing, Sean A. McCarthy, Samantha J. Busfield, Keith Robison, John Sharp and Deborah J. Guyot. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell 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.