Neil Shaw
Impact in
- Infectious Diseases top 2%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
-
- Biochemical and Molecular Research 10
- RNA and protein synthesis mechanisms 8
- Porphyrin Metabolism and Disorders 8
-
- Neural dynamics and brain function 15
- EEG and Brain-Computer Interfaces 12
- Co-authors
- B.R Cant (10 shared papers)Ann L. Hume (5 shared papers)A. W. Johnson (7 shared papers)Zhi‐Jie Liu (21 shared papers)Rongguang Zhang (8 shared papers)Zihe Rao (11 shared papers)Songying Ouyang (10 shared papers)E. Lester Smith (3 shared papers)
- Journals
- Electroencephalography and Clinical Neurophysiology (7 papers)The FASEB Journal (5 papers)Proteins Structure Function and Bioinformatics (4 papers)Protein & Cell (4 papers)Physiology & Behavior (4 papers)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Neil Shaw
94 papers receiving 2.9k citations
Neil Shaw's Hit Papers
Peers
Comparison fields: 5 of 150
- Infectious Diseases 647
- Cognitive Neuroscience 423
- Immunology 453
- Neurology 287
- Molecular Biology 1.2k
Countries citing papers authored by Neil Shaw
This map shows the geographic impact of Neil Shaw'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 Neil Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Shaw more than expected).
Fields of papers citing papers by Neil Shaw
This network shows the impact of papers produced by Neil Shaw. 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 Neil Shaw. The network helps show where Neil Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Neil Shaw, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structural basis and functional analysis of the SARS coronavirus nsp14–nsp10 complex Hit paper breakdown → | 2015 | 344 |
| 2 | 2012 | 281 | |
| 3 | 2017 | 118 | |
| 4 | 1986 | 104 | |
| 5 | 1962 | 103 | |
| 6 | 1988 | 101 | |
| 7 | 1979 | 94 | |
| 8 | 2014 | 87 | |
| 9 | 1963 | 67 | |
| 10 | 2007 | 65 | |
| 11 | 1986 | 65 | |
| 12 | 2013 | 64 | |
| 13 | 2007 | 57 | |
| 14 | 1982 | 57 | |
| 15 | 1978 | 53 | |
| 16 | 2013 | 52 | |
| 17 | 1980 | 51 | |
| 18 | 2009 | 50 | |
| 19 | 2010 | 43 | |
| 20 | 1984 | 42 |
About Neil Shaw
Neil Shaw is a scholar working on Molecular Biology, Cognitive Neuroscience, Materials Chemistry, Neurology and Infectious Diseases, having authored 96 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), EEG and Brain-Computer Interfaces (12 papers), Enzyme Structure and Function (12 papers), Biochemical and Molecular Research (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Folate and B Vitamins Research (9 papers), RNA and protein synthesis mechanisms (8 papers) and Porphyrin Metabolism and Disorders (8 papers). The work is most often cited by research in Infectious Diseases (647 citations), Cognitive Neuroscience (423 citations), Immunology (453 citations), Neurology (287 citations) and Molecular Biology (1.2k citations). Neil Shaw has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include B.R Cant, Ann L. Hume, A. W. Johnson, Zhi‐Jie Liu, Rongguang Zhang, Zihe Rao, Songying Ouyang, E. Lester Smith, Leonard Mervyn and Zhiyong Lou. Their work appears in journals such as Electroencephalography and Clinical Neurophysiology, The FASEB Journal, Proteins Structure Function and Bioinformatics, Protein & Cell and Physiology & Behavior.
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.