G. A. Stewart

2.2k citations
63 papers · 1.7k indexed · 1 hit paper · h-index 19

G. A. Stewart

59 papers receiving 1.6k citations

Hit Papers

CBS domains form energy-sensing modules whose binding of ...6062004202620112018200400600

Peers

G. A. Stewart
Comparison fields: 5 of 142
  • Equine 88
  • Agronomy and Crop Science 261
  • Physiology 67
  • Soil Science 135
  • Cell Biology 182
Replace S. Ray Smith with:
S. Ray Smith United States
W. van den Berg Netherlands
R.M. Leach United States
Hiroshi Kudo Japan
Youhua Wang China
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Citations per field
00.5×4.5×
S. Ray Smith · 1×
Citations per year

Countries citing papers authored by G. A. Stewart

Since Specialization
Citations

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

Fields of papers citing papers by G. A. Stewart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. A. Stewart. 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 G. A. Stewart. The network helps show where G. A. Stewart may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 200691
4 200555
5 2004104
6
CBS domains form energy-sensing modules whose binding of adenosine ligands is disrupted by disease mutationsbreakdown →
2004606
7 197714
8 197714
9 197622
10 197638
11 19769
12 197211
13 19729
14
High potential productivity of the tropics for cereal crops, grass forage crops, and beef.
19707
15 19699
16 19671
17
Investigations on the feeding of beef cattle in the Katherine region, N.T.
19643
18
General report on lands of the Buna-Kokoda area, territory of Papua and New Guinea.
19647
19 19623
20 19608

About G. A. Stewart

G. A. Stewart is a scholar working on Equine, Agronomy and Crop Science, Soil Science, Small Animals and Forestry, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Crop Yield and Soil Fertility (9 papers), Wheat and Barley Genetics and Pathology (4 papers), Soil Carbon and Nitrogen Dynamics (4 papers), Soil Management and Crop Yield (3 papers), Rangeland Management and Livestock Ecology (3 papers), Rangeland and Wildlife Management (3 papers), Cardiovascular Conditions and Treatments (3 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Equine (88 citations), Agronomy and Crop Science (261 citations), Physiology (67 citations), Soil Science (135 citations) and Cell Biology (182 citations). G. A. Stewart has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include D. Grahame Hardie, Gillian A. Scullion, John W. Scott, Simon A. Hawley, D. Norman, Kevin A. Green, M. Tollenaar, William M. Deen, Weidong Liu and Weidong Liu. Their work appears in journals such as Australian Veterinary Journal, Agronomy Journal, The Medical Journal of Australia, Journal of Pharmacy and Pharmacology and Crop Science.

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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