Patrick Reeves

1.3k citations
13 papers · 966 · h-index 11

Impact in

Papers in

Patrick Reeves

13 papers receiving 948 citations

Peers

Patrick Reeves
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 510
  • Nephrology 77
  • Neurology 149
  • Cell Biology 159
  • Molecular Biology 622
Replace Nobuyoshi Fukuhara with:
Nobuyoshi Fukuhara Japan
Cody A. Desjardins United States
Martin Kann Germany
Brenda DeGray United States
Birgit Uhlenberg Germany
Lucía Galán Spain
Claudio Bruno Italy
Andrea Legati Italy
Kazuo Obara Japan
Silvia Sposini United Kingdom
Patrick Reeves relative to Nobuyoshi Fukuhara Japan Nobuyoshi Fukuhara's profile →
Citations per field
00.5×5×11.3×
Nobuyoshi Fukuhara · 1×
Citations per year

Countries citing papers authored by Patrick Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Reeves, 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 Reeves Line = papers co-authored together Patrick Reeves links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2007347
2 2010131
3 2018107
4 200981
5 200973
6 200965
7 201854
8 200851
9 201824
10 201017
11 201114
12 20211
13
Nanoparticle-Based PET Imaging of T-cell Trafficking in Immuno-Competent Murine Tumor Models
20201

About Patrick Reeves

Patrick Reeves is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Nephrology, Cell Biology and Surgery, having authored 13 papers that have together received 966 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (5 papers), Ion channel regulation and function (3 papers), Muscle Physiology and Disorders (2 papers), Cellular transport and secretion (2 papers), Dialysis and Renal Disease Management (2 papers), Potassium and Related Disorders (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (510 citations), Nephrology (77 citations), Neurology (149 citations), Cell Biology (159 citations) and Molecular Biology (622 citations). Patrick Reeves has collaborated with scholars based in United States, Portugal and Switzerland. Frequent co-authors include Marian DiFiglia, Ellen Sapp, Neil Aronin, Finnian R. Mc Causland, J. Steven Alexander, Antonio Valencia, Kimberly B. Kegel, Kathryn Chase, Xueyi Li and Nicholas Masso. Their work appears in journals such as Neuroreport, Neurobiology of Disease, Journal of Neurochemistry, Proceedings of the National Academy of Sciences and Molecular Neurodegeneration.

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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