John Hawkins
- Molecular Biology
- Physiology
- Pathology and Forensic Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Mikael BodénRakesh C. KukrejaFadi N. SalloumRamzi OckailiMurray Gell‐MannEduardo B. FernándezHarold J. HoffmanRobin P. Humphreys
- Topics
- Machine Learning in Bioinformatics (8 papers)RNA and protein synthesis mechanisms (7 papers)Genomics and Phylogenetic Studies (6 papers)
- Cited by
- Developmental NeurosciencePathology and Forensic MedicineCellular and Molecular Neuroscience
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
John Hawkins
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 162
- Molecular Biology 494
- Physiology 173
- Pathology and Forensic Medicine 162
- Cellular and Molecular Neuroscience 155
- Cardiology and Cardiovascular Medicine 153
Countries citing papers authored by John Hawkins
This map shows the geographic impact of John Hawkins'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 John Hawkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hawkins more than expected).
Fields of papers citing papers by John Hawkins
This network shows the impact of papers produced by John Hawkins. 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 John Hawkins. The network helps show where John Hawkins may publish in the future.
Co-authorship network of co-authors of John Hawkins
This figure shows the co-authorship network connecting the top 25 collaborators of John Hawkins. A scholar is included among the top collaborators of John Hawkins 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 John Hawkins. John Hawkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 47 | |
| 8 | 43 | |
| 9 | 115 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 21 | |
| 14 | 108 | |
| 15 | 171 | |
| 16 | 1 | |
| 17 | The Political Geography of North Syria and South-East Anatolia in the Neo-Assyrian Period | 11 |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 14 |
About John Hawkins
John Hawkins is a scholar working on Music, Developmental Neuroscience and Pathology and Forensic Medicine, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (8 papers), RNA and protein synthesis mechanisms (7 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Developmental Neuroscience (75 citations), Pathology and Forensic Medicine (162 citations) and Cellular and Molecular Neuroscience (155 citations). John Hawkins has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Mikael Bodén, Rakesh C. Kukreja, Fadi N. Salloum, Ramzi Ockaili, Murray Gell‐Mann, Eduardo B. Fernández, Harold J. Hoffman, Robin P. Humphreys, William Hollingworth and Anindita Das. Their work appears in journals such as The Lancet, Journal of Neuroscience and Bioinformatics.
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.