W. T. Schroeder

44 total papers · 909 total citations
30 papers, 747 citations indexed

About

W. T. Schroeder is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, W. T. Schroeder has authored 30 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 11 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in W. T. Schroeder's work include Genetic and Environmental Crop Studies (7 papers), Plant Virus Research Studies (7 papers) and Agricultural pest management studies (6 papers). W. T. Schroeder is often cited by papers focused on Genetic and Environmental Crop Studies (7 papers), Plant Virus Research Studies (7 papers) and Agricultural pest management studies (6 papers). W. T. Schroeder collaborates with scholars based in United States, Japan and France. W. T. Schroeder's co-authors include G F Saunders, Vincent M. Riccardi, Sen Pathak, Louise C. Strong, Diem Dao, William H. Lewis, Madeleine Duvic, Michael J. Siciliano, R. Provvidenti and M. F. Miller and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Investigative Dermatology.

In The Last Decade

W. T. Schroeder

28 papers receiving 713 citations

Author Peers

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

Author						Papers	Cites
W. T. Schroeder	440	182	154	117	83	30	747
Lydia E. McMorrow	505 1.1×	320 1.8×	110 0.7×	47 0.4×	137 1.7×	22	699
John Melnyk	355 0.8×	373 2.0×	112 0.7×	26 0.2×	70 0.8×	28	842
Yanwu Zeng	484 1.1×	231 1.3×	73 0.5×	28 0.2×	52 0.6×	32	817
D. Margaret Hunt	369 0.8×	125 0.7×	50 0.3×	73 0.6×	38 0.5×	18	796
Jingly F. Weier	312 0.7×	191 1.0×	90 0.6×	49 0.4×	259 3.1×	36	674
Maria Strazzullo	591 1.3×	238 1.3×	133 0.9×	53 0.5×	35 0.4×	41	900
Linda R. Adkison	328 0.7×	162 0.9×	145 0.9×	44 0.4×	23 0.3×	35	645
Roberto Piergentili	531 1.2×	109 0.6×	87 0.6×	107 0.9×	32 0.4×	46	842
Yannick Bidet	463 1.1×	209 1.1×	88 0.6×	70 0.6×	14 0.2×	36	750
Gina Pengue	552 1.3×	153 0.8×	111 0.7×	38 0.3×	23 0.3×	24	693

Countries citing papers authored by W. T. Schroeder

Since Specialization

Citations

This map shows the geographic impact of W. T. Schroeder'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 W. T. Schroeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. T. Schroeder more than expected).

Fields of papers citing papers by W. T. Schroeder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. T. Schroeder. 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 W. T. Schroeder. The network helps show where W. T. Schroeder may publish in the future.

Co-authorship network of co-authors of W. T. Schroeder

This figure shows the co-authorship network connecting the top 25 collaborators of W. T. Schroeder. A scholar is included among the top collaborators of W. T. Schroeder 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 W. T. Schroeder. W. T. Schroeder 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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