R. Casey

94 papers receiving 2.1k citations

Peers

R. Casey
Comparison fields: 5 of 127
  • Pollution 326
  • Environmental Engineering 311
  • Plant Science 756
  • Genetics 206
  • Ecology 367
Replace N. P. Singh with:
N. P. Singh India
Marı́a Eugenia Farı́as Argentina
Huiying Liu China
Mauro Mariotti Italy
Richard F. Lee United States
William H. Smith United States
Liang Liang China
B.W. Wilson United States
Xin Zheng China
R. Casey relative to N. P. Singh India N. P. Singh's profile →
Citations per field
00.5×6.6×
N. P. Singh · 1×
Citations per year

Countries citing papers authored by R. Casey

Since Specialization
Citations

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

Fields of papers citing papers by R. Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007113
2 1995110
3 197999
4
Legume storage proteins and their genes.
198692
5 201781
6 200877
7 198577
8 200963
9 200161
10 201059
11
The molecular basis for the two different clinical presentations of classical pyruvate carboxylase deficiency.
198458
12 198855
13 199053
14 201149
15 200646
16 200145
17 201444
18 198940
19 201539
20
Perspectives for peas and lupins as protein crops.
198337

About R. Casey

R. Casey is a scholar working on Nuclear Energy and Engineering, Genetics, Environmental Engineering, Cell Biology and Pollution, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Agricultural pest management studies (18 papers), Genetic and Environmental Crop Studies (17 papers), Hemoglobin structure and function (16 papers), Urban Stormwater Management Solutions (15 papers), Hemoglobinopathies and Related Disorders (14 papers), Legume Nitrogen Fixing Symbiosis (12 papers), Erythrocyte Function and Pathophysiology (9 papers) and Neonatal Health and Biochemistry (8 papers). The work is most often cited by research in Pollution (326 citations), Environmental Engineering (311 citations), Plant Science (756 citations), Genetics (206 citations) and Ecology (367 citations). R. Casey has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Claire Domoney, Joel W. Snodgrass, Steven Lev, Stephen J. Klaine, H. Lehmann, Noel Ellis, Adrianne B. Brand, David R. Ownby, Debra L. Joseph and Donald W. Sparling. Their work appears in journals such as Biochemical Journal, Planta, FEBS Letters, British Journal of Haematology and Environmental Toxicology and Chemistry.

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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