Earl R. Leng

36 total papers · 724 total citations
21 papers, 363 citations indexed

About

Earl R. Leng is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Earl R. Leng has authored 21 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 9 papers in Agronomy and Crop Science and 4 papers in Genetics. Recurrent topics in Earl R. Leng's work include Crop Yield and Soil Fertility (9 papers), Genetics and Plant Breeding (6 papers) and Soybean genetics and cultivation (3 papers). Earl R. Leng is often cited by papers focused on Crop Yield and Soil Fertility (9 papers), Genetics and Plant Breeding (6 papers) and Soybean genetics and cultivation (3 papers). Earl R. Leng collaborates with scholars based in United States, Poland and Bulgaria. Earl R. Leng's co-authors include Samuel R. Aldrich, R. H. Hageman, Donald W. Lathrap, E. G. Siemer, O. T. Bonnett, Walton C. Galinat, David M. Peterson, L. E. Schrader, R. J. Lambert and L. F. Bauman and has published in prestigious journals such as Nature, Science and Crop Science.

In The Last Decade

Earl R. Leng

20 papers receiving 291 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Earl R. Leng	240	113	68	39	34	21	363
Watkin Williams	282 1.2×	74 0.7×	37 0.5×	77 2.0×	14 0.4×	22	400
Alejandra E. Vilela	217 0.9×	69 0.6×	23 0.3×	38 1.0×	53 1.6×	32	380
Minxuan Liu	222 0.9×	56 0.5×	83 1.2×	81 2.1×	10 0.3×	32	387
Bernard N. Bowden	152 0.6×	68 0.6×	27 0.4×	65 1.7×	11 0.3×	17	310
Peter Martin	185 0.8×	58 0.5×	25 0.4×	38 1.0×	24 0.7×	28	320
J. T. Sullivan	127 0.5×	146 1.3×	37 0.5×	42 1.1×	34 1.0×	25	395
Anuj Chiluwal	281 1.2×	124 1.1×	44 0.6×	64 1.6×	26 0.8×	28	373
Dalma Castillo	323 1.3×	116 1.0×	77 1.1×	30 0.8×	31 0.9×	20	368
J.I. Burke	296 1.2×	64 0.6×	34 0.5×	68 1.7×	21 0.6×	18	377
Pravin Rawat	170 0.7×	45 0.4×	65 1.0×	60 1.5×	33 1.0×	32	352

Countries citing papers authored by Earl R. Leng

Since Specialization

Citations

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

Fields of papers citing papers by Earl R. Leng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Earl R. Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Earl R. Leng. A scholar is included among the top collaborators of Earl R. Leng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Earl R. Leng. Earl R. Leng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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