N.J. Part

18 papers and 363 indexed citations i.

About

N.J. Part is a scholar working on Neurology, Neurology and Molecular Biology. According to data from OpenAlex, N.J. Part has authored 18 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 6 papers in Neurology and 5 papers in Molecular Biology. Recurrent topics in N.J. Part’s work include Transcranial Magnetic Stimulation Studies (8 papers), Pain Mechanisms and Treatments (5 papers) and Muscle activation and electromyography studies (5 papers). N.J. Part is often cited by papers focused on Transcranial Magnetic Stimulation Studies (8 papers), Pain Mechanisms and Treatments (5 papers) and Muscle activation and electromyography studies (5 papers). N.J. Part collaborates with scholars based in United Kingdom. N.J. Part's co-authors include B. L. Andrew, Rosalind Brown, Daryl Lawson, Rolf Pokorny, Murat Emre, W.J. Mutch, Marion E. T. McMurdo, Richard Roberts and Lesley Holdsworth and has published in prestigious journals such as The Journal of Physiology, British Journal of Pharmacology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Co-authorship network of co-authors of N.J. Part i

Fields of papers citing papers by N.J. Part

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.J. Part. 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 N.J. Part. The network helps show where N.J. Part may publish in the future.

Countries citing papers authored by N.J. Part

Since Specialization
Citations

This map shows the geographic impact of N.J. Part'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 N.J. Part with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.J. Part more than expected).

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.

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