Jack E. Hubbard

498 citations
13 papers · 437 indexed · h-index 7

Impact in

Papers in

Jack E. Hubbard

12 papers receiving 427 citations

Peers

Jack E. Hubbard
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 270
  • Developmental Neuroscience 52
  • Endocrine and Autonomic Systems 70
  • Neurology 50
  • Behavioral Neuroscience 18
Replace Zan‐Min Song with:
Zan‐Min Song Australia
V Di Carlo United States
Khushdev K. Sumal United States
A. Degueurce France
Mary A. Hunt United States
Hasan Raci Yananlı Türkiye
Geoffrey S. Hamill United States
Vladimir A. Maisky Ukraine
Katuya Zyo Japan
I. Roth‐Deri Israel
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Citations per field
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Citations per year

Countries citing papers authored by Jack E. Hubbard

Since Specialization
Citations

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

Fields of papers citing papers by Jack E. Hubbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack E. Hubbard. 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 Jack E. Hubbard. The network helps show where Jack E. Hubbard may publish in the future.

Co-authors

The 3 scholars most cited alongside Jack E. Hubbard, 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 Jack E. Hubbard Line = papers co-authored together Jack E. Hubbard links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1973131
2 1974110
3 197372
4 197463
5 197524
6 199621
7
Myofascial trigger points. What physicians should know about these neurological imitators.
20106
8 20024
9 20213
10
COVID-19: The Ethical and Legal Implications of Medical Rationing
20201
11
“Talk and Die Syndrome” – The Medical and Legal Consequence of an Intracranial Hemorrhage
20181
12
Histochemical Localization and Identification of Monoamine-Containing Cell Bodies in the Brain Stem of the Squirrel Monkey (Saimiri Sciureus)
19711
13
Depression: The Often Overlooked Sequela of Head Trauma
20170

About Jack E. Hubbard

Jack E. Hubbard is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Clinical Psychology, Sociology and Political Science and Anesthesiology and Pain Medicine, having authored 13 papers that have together received 437 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Musculoskeletal pain and rehabilitation (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Neuroscience of respiration and sleep (1 paper), Homicide, Infanticide, and Child Abuse (1 paper), Pain Mechanisms and Treatments (1 paper), Myofascial pain diagnosis and treatment (1 paper) and Pain Management and Treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (270 citations), Developmental Neuroscience (52 citations), Endocrine and Autonomic Systems (70 citations), Neurology (50 citations) and Behavioral Neuroscience (18 citations). Jack E. Hubbard has collaborated with scholars based in United States and India. Frequent co-authors include V Di Carlo, Jay Tracy and Steven F. Morgan. Their work appears in journals such as The Journal of Comparative Neurology, Clinical Journal of Pain, Current Pain and Headache Reports, Pharmacology Biochemistry and Behavior and Journal of Infusion Nursing.

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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