Patrick Sweeney

41 papers receiving 1.7k citations

Patrick Sweeney's Hit Papers

Protein misfolding in neurodegenerative diseases: implications and strategies 2017 · 503 citations
5030+3+6Years since publication100200300400500

Peers

Patrick Sweeney
Comparison fields: 5 of 136
  • Endocrine and Autonomic Systems 316
  • Behavioral Neuroscience 66
  • Biological Psychiatry 39
  • Genetics 159
  • Cellular and Molecular Neuroscience 272
Replace Juan I. Young with:
Juan I. Young United States
Heiko Backes Germany
David G. Wells United States
Masato Asai Japan
Susanne Arnold Germany
Alicia Rivera Spain
Benjamin B. Tournier Switzerland
Nadine Kabbani United States
Anne‐Karine Bouzier‐Sore France
Christopher Nelson United States
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Citations per year

Countries citing papers authored by Patrick Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Sweeney. 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 Patrick Sweeney. The network helps show where Patrick Sweeney may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Sweeney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Sweeney Line = papers co-authored together Patrick Sweeney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Protein misfolding in neurodegenerative diseases: implications and strategies
Hit paper breakdown →
2017503
2 1997189
3 2015121
4 2011109
5 201672
6 198069
7 202060
8 199556
9 201754
10 199248
11 201844
12 201644
13 202142
14 201440
15 202337
16 200529
17 201828
18 201427
19 201726
20 201724

About Patrick Sweeney

Patrick Sweeney is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Social Psychology, Cellular and Molecular Neuroscience and Neurology, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (13 papers), Biochemical Analysis and Sensing Techniques (8 papers), Neuroendocrine regulation and behavior (4 papers), Neurological disorders and treatments (4 papers), Circadian rhythm and melatonin (4 papers), melanin and skin pigmentation (3 papers), Advanced Radiotherapy Techniques (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (316 citations), Behavioral Neuroscience (66 citations), Biological Psychiatry (39 citations), Genetics (159 citations) and Cellular and Molecular Neuroscience (272 citations). Patrick Sweeney has collaborated with scholars based in United States, Finland and China. Frequent co-authors include Yunlei Yang, Gabrielle G. Leblanc, Judith Frydman, Robert A. Hodgson, Alexander McCampbell, Antti Nurmi, Ron R. Kopito, John Dunlop, Anjli Venkateswaran and Marc Baumann. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Nature Communications, Molecular Metabolism, Journal of Neuroscience and Neurosurgery.

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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