R. J. Lambert

3.3k citations
72 papers · 1.7k · h-index 22

Impact in

Papers in

    • Genetics and Plant Breeding 22
    • Wheat and Barley Genetics and Pathology 7
    • Plant nutrient uptake and metabolism 5
    • Plant Micronutrient Interactions and Effects 5
    • Plant Disease Resistance and Genetics 5
    • Crop Yield and Soil Fertility 35

R. J. Lambert

68 papers receiving 1.5k citations

Peers

R. J. Lambert
Comparison fields: 5 of 101
  • Agronomy and Crop Science 526
  • Biochemistry 229
  • Plant Science 1.1k
  • Genetics 351
  • Numerical Analysis 48
Replace José Costa with:
José Costa United States
Balwant Singh India
Yumei Liu China
Paweł Krajewski Poland
J. Voigt Germany
Le Luo China
Winfriede Weschke Germany
Guorong Zhang United States
S. M. Woods Canada
Tongming Yin China
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Citations per field
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Citations per year

Countries citing papers authored by R. J. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by R. J. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003155
2 2003114
3 1987113
4 1978105
5 198298
6 198676
7 200270
8 198768
9 197362
10 198459
11 199952
12 199850
13 200349
14 196645
15 199136
16 199831
17 198231
18 196930
19 200327
20 197026

About R. J. Lambert

R. J. Lambert is a scholar working on Plant Science, Agronomy and Crop Science, Genetics, Molecular Biology and Physiology, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Crop Yield and Soil Fertility (35 papers), Genetics and Plant Breeding (22 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Wheat and Barley Genetics and Pathology (7 papers), Plant nutrient uptake and metabolism (5 papers), Plant Micronutrient Interactions and Effects (5 papers), Plant Disease Resistance and Genetics (5 papers) and Antioxidant Activity and Oxidative Stress (5 papers). The work is most often cited by research in Agronomy and Crop Science (526 citations), Biochemistry (229 citations), Plant Science (1.1k citations), Genetics (351 citations) and Numerical Analysis (48 citations). R. J. Lambert has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Torbert Rocheford, Jeffrey Wong, John B. Schoper, B. L. Vasilas, R. R. Johnson, Cem Ömer Egesel, J. W. Dudley, Danny Alexander, Frederick E. Below and Eleanore T. Wurtzel. Their work appears in journals such as Crop Science, Agronomy Journal, Theoretical and Applied Genetics, Polar Biology and Journal of the ACM.

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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