John S. Beech

2.9k citations
64 papers · 2.5k · h-index 25

Impact in

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 10
    • Neurological Disease Mechanisms and Treatments 6
    • Advanced MRI Techniques and Applications 7
    • Medical Imaging Techniques and Applications 6

John S. Beech

64 papers receiving 2.4k citations

Peers

John S. Beech
Comparison fields: 5 of 125
  • Developmental Neuroscience 186
  • Neurology 301
  • Cancer Research 387
  • Genetics 148
  • Cellular and Molecular Neuroscience 260
Replace Maria Liguori with:
Maria Liguori Italy
Sébastien Serres United Kingdom
Takeshi Kondoh Japan
James R. Tonra United States
Hajime Yano Japan
Anne Schänzer Germany
Helen L. Fillmore United States
Daniela Virgintino Italy
Louis A. Peña United States
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Citations per field
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Citations per year

Countries citing papers authored by John S. Beech

Since Specialization
Citations

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

Fields of papers citing papers by John S. Beech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Beech. 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 John S. Beech. The network helps show where John S. Beech may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010380
2 2012197
3 2001181
4 2011117
5 199992
6 200887
7 200073
8 199871
9 200169
10 200161
11 202060
12 201160
13 200658
14 201556
15 200654
16 201152
17 200952
18 201249
19 201545
20 201239

About John S. Beech

John S. Beech is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Developmental Neuroscience, Epidemiology and Physiology, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Advanced MRI Techniques and Applications (7 papers), Medical Imaging Techniques and Applications (6 papers), Neurological Disease Mechanisms and Treatments (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Acute Ischemic Stroke Management (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Developmental Neuroscience (186 citations), Neurology (301 citations), Cancer Research (387 citations), Genetics (148 citations) and Cellular and Molecular Neuroscience (260 citations). John S. Beech has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Steven Bruce Williams, Ruth J. Muschel, Sean Smart, Helen Ruth Hodges, Adrian L. Harris, Jae Hong Im, R. Paul Stroemer, William P. Watson, David Krishna Menon and Francesca Meteora Buffa. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Brain Research, NeuroImage, Biochemical Society Transactions and Magnetic Resonance Imaging.

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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