Earl L. Green

55 total papers · 968 total citations
29 papers, 659 citations indexed

About

Earl L. Green is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Earl L. Green has authored 29 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Earl L. Green's work include Carcinogens and Genotoxicity Assessment (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and RNA and protein synthesis mechanisms (2 papers). Earl L. Green is often cited by papers focused on Carcinogens and Genotoxicity Assessment (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and RNA and protein synthesis mechanisms (2 papers). Earl L. Green collaborates with scholars based in United States. Earl L. Green's co-authors include PRISCILLA W. LANE, Stanley J. Mann, Margaret C. Green, Richard G. Scobee, Gunther Schlager, Omar H. Pivetta, Margaret M. Dickie, Seldon E. Bernstein, Thomas H. Roderick and Elizabeth S. Russell and has published in prestigious journals such as Science, Genetics and Annals of the New York Academy of Sciences.

In The Last Decade

Earl L. Green

28 papers receiving 603 citations

Author Peers

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

Author						Papers	Cites
Earl L. Green	367	188	76	76	67	29	659
Petr Kašpárek	370 1.0×	102 0.5×	84 1.1×	62 0.8×	52 0.8×	42	660
Heidi Anderson	367 1.0×	262 1.4×	96 1.3×	55 0.7×	43 0.6×	41	766
Vincent E. Sollars	466 1.3×	149 0.8×	73 1.0×	59 0.8×	56 0.8×	24	723
Olga Ermakova	440 1.2×	84 0.4×	90 1.2×	136 1.8×	65 1.0×	29	721
M Matsuyama	335 0.9×	108 0.6×	49 0.6×	107 1.4×	68 1.0×	33	594
Hironori Matsuura	250 0.7×	114 0.6×	114 1.5×	79 1.0×	72 1.1×	24	692
Masatake Yamauchi	554 1.5×	217 1.2×	89 1.2×	35 0.5×	69 1.0×	42	741
Doreen Becker	291 0.8×	256 1.4×	82 1.1×	86 1.1×	82 1.2×	41	657
Adam L. Felsenfeld	514 1.4×	228 1.2×	133 1.8×	65 0.9×	39 0.6×	12	735
Andrey L. Karamyshev	575 1.6×	128 0.7×	123 1.6×	57 0.8×	38 0.6×	36	779

Countries citing papers authored by Earl L. Green

Since Specialization

Citations

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

Fields of papers citing papers by Earl L. Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Earl L. Green

This figure shows the co-authorship network connecting the top 25 collaborators of Earl L. Green. A scholar is included among the top collaborators of Earl L. Green 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 L. Green. Earl L. Green 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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