D. Sweasey

44 papers receiving 567 citations

Peers

D. Sweasey
Comparison fields: 5 of 72
  • Agronomy and Crop Science 224
  • Clinical Biochemistry 70
  • Neurology 84
  • Animal Science and Zoology 104
  • Ecology, Evolution, Behavior and Systematics 165
Replace S. Duffell with:
S. Duffell United Kingdom
L.M. Markson United Arab Emirates
Sally A. Madsen‐Bouterse United States
Vearl R. Smith United States
I.M. Reid United States
L. W. George United States
W. Ponti Italy
E. Andresen United States
Wenhui Fan China
G.C. Millson United States
D. Sweasey relative to S. Duffell United Kingdom S. Duffell's profile →
Citations per field
00.5×2×4×6×7.8×
S. Duffell · 1×
Citations per year

Countries citing papers authored by D. Sweasey

Since Specialization
Citations

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

Fields of papers citing papers by D. Sweasey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980164
2 197160
3 197643
4 196727
5 197126
6 197325
7 197121
8 197221
9 198021
10 197921
11 196819
12 197018
13 197518
14 197414
15 197214
16 198013
17 196612
18 197311
19 197411
20 197010

About D. Sweasey

D. Sweasey is a scholar working on Molecular Biology, Epidemiology, Clinical Biochemistry, Agronomy and Crop Science and Neurology, having authored 44 papers that have together received 675 indexed citations. Recurring topics across this work include Neurological diseases and metabolism (7 papers), Metabolism and Genetic Disorders (7 papers), T-cell and Retrovirus Studies (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Mycobacterium research and diagnosis (6 papers), Animal Disease Management and Epidemiology (5 papers), Animal Nutrition and Physiology (5 papers) and Lipid metabolism and disorders (4 papers). The work is most often cited by research in Agronomy and Crop Science (224 citations), Clinical Biochemistry (70 citations), Neurology (84 citations), Animal Science and Zoology (104 citations) and Ecology, Evolution, Behavior and Systematics (165 citations). D. Sweasey has collaborated with scholars based in United Arab Emirates, United Kingdom and France. Frequent co-authors include D.S.P. Patterson, C. Nancy Hebert, S. Terlecki, J.T. Done, J. Harkness, Carol Richardson, Ina Shaw, J. J. Sands, S. Duffell and S. Berrett. Their work appears in journals such as Journal of Neurochemistry, Veterinary Record, Biochemical Society Transactions, Experimental Eye Research and British Poultry 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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