Michael Smith

464 citations
18 papers · 343 · h-index 11

Impact in

  • Pharmacology top 10%
    • Inflammatory mediators and NSAID effects
    • Pharmacological Effects of Natural Compounds
    • Pharmacogenetics and Drug Metabolism
    • Eicosanoids and Hypertension Pharmacology

Papers in

Michael Smith

18 papers receiving 298 citations

Peers

Michael Smith
Comparison fields: 5 of 111
  • Pharmacology 40
  • Pharmacology 74
  • Biochemistry 24
  • Business and International Management 6
  • Complementary and alternative medicine 21
Replace Govinda Rao Duddukuri with:
Govinda Rao Duddukuri India
Mieko Takeuchi Japan
W. Göggelmann Germany
Amar N. Sarwal United States
Syed Ahmed United States
Emiko Asakawa Japan
T Matsumoto Japan
Norito Takemoto Japan
Dian Ratih Laksmıtawatı Indonesia
Michael Smith relative to Govinda Rao Duddukuri India Govinda Rao Duddukuri's profile →
Citations per field
00.5×1.5×
Govinda Rao Duddukuri · 1×
Citations per year

Countries citing papers authored by Michael Smith

Since Specialization
Citations

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

Fields of papers citing papers by Michael Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Michael Smith, 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 Michael Smith Line = papers co-authored together Michael Smith links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200866
2 201740
3 195937
4 197536
5 197432
6 195330
7 200115
8 195514
9 196513
10 195513
11 201710
12 19688
13 19688
14 19538
15 19745
16 19695
17 19742
18 19681

About Michael Smith

Michael Smith is a scholar working on Plant Science, Aquatic Science, Food Science, Physiology and Nutrition and Dietetics, having authored 18 papers that have together received 343 indexed citations. Recurring topics across this work include Seaweed-derived Bioactive Compounds (3 papers), GABA and Rice Research (2 papers), Vitamin C and Antioxidants Research (1 paper), Obesity, Physical Activity, Diet (1 paper), Food Waste Reduction and Sustainability (1 paper), Inflammatory mediators and NSAID effects (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Piperaceae Chemical and Biological Studies (1 paper). The work is most often cited by research in Pharmacology (40 citations), Pharmacology (74 citations), Biochemistry (24 citations), Business and International Management (6 citations) and Complementary and alternative medicine (21 citations). Michael Smith has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Nokwanda P. Makunga, Peter Elliott, Don Gunasekera, A. W. Ford‐Hutchinson, J. Paul Bolam, A W Ford‐Hutchinson, B J Gould, Richard A. Lancioni, Howard P. Forman and K. D. Rainsford. Their work appears in journals such as Journal of Pharmacy and Pharmacology, International Journal of Physical Distribution & Logistics Management, FEBS Letters, American Journal of Physiology-Legacy Content and The Lancet.

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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