John W. Hubbard

3.7k citations
152 papers · 2.9k indexed · h-index 29

John W. Hubbard

148 papers receiving 2.7k citations

Peers

John W. Hubbard
Comparison fields: 5 of 126
  • Psychiatry and Mental health 935
  • Behavioral Neuroscience 218
  • Pharmacology 418
  • Biological Psychiatry 72
  • Pharmacology 458
Replace P. L. Morselli with:
P. L. Morselli Italy
Lars F. Gram Denmark
D J Greenblatt United States
Sebastian Härtter Germany
Gunnel Tybring Sweden
Roberto Goméni Italy
Joseph C. Fleishaker United States
Sheila Dawling United Kingdom
Bob Wilffert Netherlands
C. Lindsay DeVane United States
John W. Hubbard relative to P. L. Morselli Italy P. L. Morselli's profile →
Citations per field
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P. L. Morselli · 1×
Citations per year

Countries citing papers authored by John W. Hubbard

Since Specialization
Citations

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

Fields of papers citing papers by John W. Hubbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Towards a global data network for the geosciences
20091
2 200560
3 200135
4 199716
5 19978
6 19951
7 19955
8 199364
9 19910
10 199132
11 199021
12 19908
13 198932
14 198947
15 198919
16 198813
17 19883
18 19884
19 19815
20
alpha-Methyldopamine, a key intermediate in the metabolic disposition of 3,4-methylenedioxyamphetamine in vivo in dog and monkey.
197820

About John W. Hubbard

John W. Hubbard is a scholar working on Pharmacology, Behavioral Neuroscience and Psychiatry and Mental health, having authored 152 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (27 papers), Analytical Chemistry and Chromatography (20 papers), Drug Transport and Resistance Mechanisms (20 papers), Analytical Methods in Pharmaceuticals (19 papers), Epilepsy research and treatment (17 papers), Statistical Methods in Clinical Trials (14 papers), Antibiotics Pharmacokinetics and Efficacy (14 papers) and Schizophrenia research and treatment (14 papers). The work is most often cited by research in Psychiatry and Mental health (935 citations), Behavioral Neuroscience (218 citations) and Pharmacology (418 citations). John W. Hubbard has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include K.K. Midha, Kamal K. Midha, E. D. Korchinski, Maureen J. Rawson, G. McKay, James E. Lawler, Nuggehally R. Srinivas, J.K. Cooper, E. M. Hawes and Declan Quinn. Their work appears in journals such as Brain Research, Journal of Applied Physiology and Journal of Controlled Release.

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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