Paul G. Ince

39.8k total citations · 3 hit papers
295 papers, 21.7k citations indexed

About

Paul G. Ince is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Paul G. Ince has authored 295 papers receiving a total of 21.7k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Neurology, 90 papers in Physiology and 80 papers in Molecular Biology. Recurrent topics in Paul G. Ince's work include Alzheimer's disease research and treatments (84 papers), Amyotrophic Lateral Sclerosis Research (69 papers) and Parkinson's Disease Mechanisms and Treatments (52 papers). Paul G. Ince is often cited by papers focused on Alzheimer's disease research and treatments (84 papers), Amyotrophic Lateral Sclerosis Research (69 papers) and Parkinson's Disease Mechanisms and Treatments (52 papers). Paul G. Ince collaborates with scholars based in United Kingdom, United States and Australia. Paul G. Ince's co-authors include Pamela J. Shaw, Stephen B. Wharton, Carol Brayne, Fiona E. Matthews, Ian G. McKeith, John T. O’Brien, Julie E. Simpson, George M. Savva, Clive Ballard and Janet Y. Slade and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Nature Genetics.

In The Last Decade

Paul G. Ince

292 papers receiving 21.2k citations

Hit Papers

Pathological TDP‐43 distinguishes sporadic amyotrophic la... 2007 2026 2013 2019 2007 2009 2017 250 500 750

Peers

Paul G. Ince
Comparison fields: 5 of 170
  • Neurology 9.2k
  • Physiology 6.3k
  • Molecular Biology 5.5k
  • Neurology 5.1k
  • Cellular and Molecular Neuroscience 3.7k
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Nigel J. Cairns United States View profile →
Citations per field, relative to Paul G. Ince
Paul G. Ince · 1×
Citations per year, relative to Paul G. Ince
Paul G. Ince · 1×

Countries citing papers authored by Paul G. Ince

Since Specialization
Citations

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

Fields of papers citing papers by Paul G. Ince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul G. Ince. 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 Paul G. Ince. The network helps show where Paul G. Ince may publish in the future.

Co-authorship network of co-authors of Paul G. Ince

This figure shows the co-authorship network connecting the top 25 collaborators of Paul G. Ince. A scholar is included among the top collaborators of Paul G. Ince 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 Paul G. Ince. Paul G. Ince is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 32
3 5
4 11
5 63
6 6
7 7
8 13
9 53
10
Amyotrophic lateral sclerosis - frontotemporal spectrum disorder (ALS-FTSD): Revised diagnostic criteria breakdown →
590
11 1
12 51
13
TAR-DNA binding protein-43 and alterations in the hippocampus
1
14 63
15
White matter lesions in an unselected cohort of the elderly: Prevalence, relation to other patholgies and risk factors
1
16 75
17 463
18 177
19 13
20
Neuropathology of a community sample of elderly demented and non-demented people
4

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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