William G. Wadsworth
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Aging top 0.2%
- Cell Biology top 2%
- Developmental Neuroscience top 1%
- Co-authors
- Edward M. HedgecockPeter D. YurchencoHarshida BhattNaoaki IshiiJoseph G. CulottiDonald L RiddleChristopher C. QuinnSeonhee Kim
- Topics
- Axon Guidance and Neuronal Signaling (24 papers)Genetics, Aging, and Longevity in Model Organisms (15 papers)Apelin-related biomedical research (13 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesGermanyCanada
In The Last Decade
William G. Wadsworth
38 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 1.1k
- Aging 857
- Cell Biology 532
- Developmental Neuroscience 430
Countries citing papers authored by William G. Wadsworth
This map shows the geographic impact of William G. Wadsworth'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 William G. Wadsworth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Wadsworth more than expected).
Fields of papers citing papers by William G. Wadsworth
This network shows the impact of papers produced by William G. Wadsworth. 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 William G. Wadsworth. The network helps show where William G. Wadsworth may publish in the future.
Co-authorship network of co-authors of William G. Wadsworth
This figure shows the co-authorship network connecting the top 25 collaborators of William G. Wadsworth. A scholar is included among the top collaborators of William G. Wadsworth 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 William G. Wadsworth. William G. Wadsworth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 17 | |
| 5 | 21 | |
| 6 | 43 | |
| 7 | 57 | |
| 8 | 8 | |
| 9 | 62 | |
| 10 | 2 | |
| 11 | 48 | |
| 12 | 83 | |
| 13 | 116 | |
| 14 | 231 | |
| 15 | 57 | |
| 16 | 295 | |
| 17 | 35 | |
| 18 | 25 | |
| 19 | 431 | |
| 20 | 112 |
About William G. Wadsworth
William G. Wadsworth is a scholar working on Aging, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 2.3k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (24 papers), Genetics, Aging, and Longevity in Model Organisms (15 papers) and Apelin-related biomedical research (13 papers). The work is most often cited by research in Aging (857 citations), Developmental Neuroscience (430 citations) and Cellular and Molecular Neuroscience (1.1k citations). William G. Wadsworth has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Edward M. Hedgecock, Peter D. Yurchenco, Harshida Bhatt, Naoaki Ishii, Joseph G. Culotti, Donald L Riddle, Christopher C. Quinn, Seonhee Kim, Reinhard Fässler and Shaohua Li. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.