Jacob Goodwin
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
-
- Pluripotent Stem Cells Research 4
- RNA Interference and Gene Delivery 3
- Ubiquitin and proteasome pathways 2
- Oncology 6
- Co-authors
- Dean L. Pountney (5 shared papers)D. Atluru (2 shared papers)Yves Engelborghs (2 shared papers)Sangeeta Nath (2 shared papers)N. Gualde (2 shared papers)Lan‐Feng Dong (9 shared papers)Jiřı́ Neužil (9 shared papers)Andrew L. Laslett (4 shared papers)
- Journals
- The Journal of Immunology (5 papers)Antioxidants and Redox Signaling (3 papers)PLoS ONE (2 papers)Oncotarget (2 papers)Neurotoxicity Research (2 papers)
- Partner nations
- AustraliaUnited StatesCzechia
In The Last Decade
Jacob Goodwin
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Neurology 230
- Cancer Research 203
- Cellular and Molecular Neuroscience 154
- Molecular Biology 538
- Neurology 60
Countries citing papers authored by Jacob Goodwin
This map shows the geographic impact of Jacob Goodwin'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 Jacob Goodwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Goodwin more than expected).
Fields of papers citing papers by Jacob Goodwin
This network shows the impact of papers produced by Jacob Goodwin. 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 Jacob Goodwin. The network helps show where Jacob Goodwin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob Goodwin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 121 | |
| 2 | 1985 | 111 | |
| 3 | 2009 | 105 | |
| 4 | 2018 | 97 | |
| 5 | 2014 | 81 | |
| 6 | 2014 | 66 | |
| 7 | 2012 | 53 | |
| 8 | 2012 | 44 | |
| 9 | 1989 | 41 | |
| 10 | 2011 | 41 | |
| 11 | 2017 | 39 | |
| 12 | 2015 | 39 | |
| 13 | 2012 | 37 | |
| 14 | 2016 | 36 | |
| 15 | 2012 | 33 | |
| 16 | 2013 | 32 | |
| 17 | 1982 | 30 | |
| 18 | 2013 | 25 | |
| 19 | 2018 | 25 | |
| 20 | 1986 | 23 |
About Jacob Goodwin
Jacob Goodwin is a scholar working on Molecular Biology, Oncology, Neurology, Immunology and Organic Chemistry, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Pluripotent Stem Cells Research (4 papers), Neurological disorders and treatments (4 papers), RNA Interference and Gene Delivery (3 papers), Immune Cell Function and Interaction (3 papers), Synthesis and Biological Evaluation (3 papers), Ubiquitin and proteasome pathways (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Neurology (230 citations), Cancer Research (203 citations), Cellular and Molecular Neuroscience (154 citations), Molecular Biology (538 citations) and Neurology (60 citations). Jacob Goodwin has collaborated with scholars based in Australia, United States and Czechia. Frequent co-authors include Dean L. Pountney, D. Atluru, Yves Engelborghs, Sangeeta Nath, N. Gualde, Lan‐Feng Dong, Jiřı́ Neužil, Andrew L. Laslett, Maria Nguyen and Katarína Kľučková. Their work appears in journals such as The Journal of Immunology, Antioxidants and Redox Signaling, PLoS ONE, Oncotarget and Neurotoxicity Research.
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.