Jeffrey J. Neil
- Pediatrics, Perinatology and Child Health top 0.05%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Cognitive Neuroscience top 1%
- Pulmonary and Respiratory Medicine top 1%
- Epidemiology top 5%
- Co-authors
- Terrie E. InderJoseph J. H. AckermanChristopher D. SmyserAbraham Z. SnyderJoshua S. ShimonyRobert C. McKinstryJason E. HillArthur D. Loewy
- Topics
- Neonatal and fetal brain pathology (65 papers)Advanced Neuroimaging Techniques and Applications (58 papers)Advanced MRI Techniques and Applications (51 papers)
- Cited by
- Pediatrics, Perinatology and Child HealthRadiology, Nuclear Medicine and ImagingCognitive Neuroscience
- Partner nations
- United StatesAustraliaIreland
In The Last Decade
Jeffrey J. Neil
143 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Pediatrics, Perinatology and Child Health 4.6k
- Radiology, Nuclear Medicine and Imaging 4.4k
- Cognitive Neuroscience 2.0k
- Pulmonary and Respiratory Medicine 1.7k
- Epidemiology 678
Countries citing papers authored by Jeffrey J. Neil
This map shows the geographic impact of Jeffrey J. Neil'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 Jeffrey J. Neil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey J. Neil more than expected).
Fields of papers citing papers by Jeffrey J. Neil
This network shows the impact of papers produced by Jeffrey J. Neil. 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 Jeffrey J. Neil. The network helps show where Jeffrey J. Neil may publish in the future.
Co-authorship network of co-authors of Jeffrey J. Neil
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Neil. A scholar is included among the top collaborators of Jeffrey J. Neil 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 Jeffrey J. Neil. Jeffrey J. Neil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 42 | |
| 5 | 15 | |
| 6 | 100 | |
| 7 | 19 | |
| 8 | 105 | |
| 9 | 48 | |
| 10 | 92 | |
| 11 | 63 | |
| 12 | 461 | |
| 13 | Longitudinal Analysis of Neural Network Development in Preterm Infantsbreakdown → | 556 |
| 14 | 79 | |
| 15 | 154 | |
| 16 | 17 | |
| 17 | 139 | |
| 18 | 50 | |
| 19 | 6 | |
| 20 | 2 |
About Jeffrey J. Neil
Jeffrey J. Neil is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Nuclear and High Energy Physics, having authored 143 papers that have together received 9.7k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (65 papers), Advanced Neuroimaging Techniques and Applications (58 papers) and Advanced MRI Techniques and Applications (51 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (4.6k citations), Radiology, Nuclear Medicine and Imaging (4.4k citations) and Cognitive Neuroscience (2.0k citations). Jeffrey J. Neil has collaborated with scholars based in United States, Australia and Ireland. Frequent co-authors include Terrie E. Inder, Joseph J. H. Ackerman, Christopher D. Smyser, Abraham Z. Snyder, Joshua S. Shimony, Robert C. McKinstry, Jason E. Hill, Arthur D. Loewy, Pratik Mukherjee and Jeffrey H Miller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.