J. Blackbeard

804 citations
8 papers · 677 · h-index 8

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Physiology top 5%
    • Pain Mechanisms and Treatments

Papers in

    • Pain Mechanisms and Treatments 7
    • Nerve injury and regeneration 2
    • Hereditary Neurological Disorders 1
    • Neuroscience and Neuropharmacology Research 1
    • Neuropeptides and Animal Physiology 1

J. Blackbeard

8 papers receiving 660 citations

Peers

J. Blackbeard
Comparison fields: 5 of 72
  • Virology 84
  • Physiology 434
  • Behavioral Neuroscience 51
  • Cellular and Molecular Neuroscience 219
  • Neurology 116
Replace T. Pheby with:
T. Pheby United Kingdom
V.C.J. Wallace United Kingdom
F. Hasnie United Kingdom
Lois E. McCarthy United States
Brian M. Kelley United States
Monica C. Hernandez United States
Susannah S. Lewis United States
Sanika Chirwa United States
Jennifer Rehnelt Germany
Jean-Pierre Famaey Belgium
J. Blackbeard relative to T. Pheby United Kingdom T. Pheby's profile →
Citations per field
00.5×1.5×
T. Pheby · 1×
Citations per year

Countries citing papers authored by J. Blackbeard

Since Specialization
Citations

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

Fields of papers citing papers by J. Blackbeard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside J. Blackbeard, 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 J. Blackbeard Line = papers co-authored together J. Blackbeard links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2007144
2 2007139
3 2006116
4 200876
5 200875
6 200758
7 200742
8 201227

About J. Blackbeard

J. Blackbeard is a scholar working on Physiology, Cellular and Molecular Neuroscience, Epidemiology, Pharmacology and Neurology, having authored 8 papers that have together received 677 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (7 papers), Herpesvirus Infections and Treatments (3 papers), Nerve injury and regeneration (2 papers), Cannabis and Cannabinoid Research (1 paper), HIV Research and Treatment (1 paper), Hereditary Neurological Disorders (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Virology (84 citations), Physiology (434 citations), Behavioral Neuroscience (51 citations), Cellular and Molecular Neuroscience (219 citations) and Neurology (116 citations). J. Blackbeard has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Andrew S.C. Rice, Andrew R. Segerdahl, F. Hasnie, T. Pheby, V.C.J. Wallace, Stephen B. McMahon, Victoria C. J. Wallace, Anthony H. Dickenson, Meirion Davies and Susan Hall. Their work appears in journals such as European Journal of Pain, Neuroscience, British Journal of Pharmacology, Pain and Brain.

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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