W. J. Kleinschmidt

26 total papers · 833 total citations
23 papers, 677 citations indexed

About

W. J. Kleinschmidt is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, W. J. Kleinschmidt has authored 23 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Endocrinology and 6 papers in Molecular Biology. Recurrent topics in W. J. Kleinschmidt's work include Plant and Fungal Interactions Research (8 papers), Plant Virus Research Studies (7 papers) and Bacteriophages and microbial interactions (6 papers). W. J. Kleinschmidt is often cited by papers focused on Plant and Fungal Interactions Research (8 papers), Plant Virus Research Studies (7 papers) and Bacteriophages and microbial interactions (6 papers). W. J. Kleinschmidt collaborates with scholars based in United States. W. J. Kleinschmidt's co-authors include Richard M. Schultz, E. Murphy, L. F. Ellis, J. C. Cline, Paul D. Boyer, John A. Manthey, T. C. Merigan, Thomas C. Merigan, Otto K. Behrens and Richard M. Van Frank and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Annual Review of Biochemistry.

In The Last Decade

W. J. Kleinschmidt

22 papers receiving 551 citations

Author Peers

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

Author						Papers	Cites
W. J. Kleinschmidt	236	160	147	131	109	23	677
Eduardo Pareja	237 1.0×	60 0.4×	324 2.2×	70 0.5×	66 0.6×	31	765
Patrick Froussard	91 0.4×	152 0.9×	234 1.6×	94 0.7×	51 0.5×	18	620
Jean Pierre Liautard	238 1.0×	36 0.2×	208 1.4×	189 1.4×	147 1.3×	11	690
Alex Pelletier	97 0.4×	56 0.3×	273 1.9×	107 0.8×	229 2.1×	18	700
R. Rott	144 0.6×	61 0.4×	249 1.7×	25 0.2×	95 0.9×	11	655
Etsuko Suzaki	155 0.7×	178 1.1×	338 2.3×	64 0.5×	31 0.3×	35	703
Kateřina Procházková	126 0.5×	55 0.3×	367 2.5×	195 1.5×	52 0.5×	18	750
L T Callahan	249 1.1×	28 0.2×	237 1.6×	101 0.8×	56 0.5×	18	584
Martine Duonor-Cérutti	146 0.6×	158 1.0×	339 2.3×	21 0.2×	37 0.3×	32	672
Gary Faulkner	136 0.6×	49 0.3×	232 1.6×	212 1.6×	36 0.3×	32	643

Countries citing papers authored by W. J. Kleinschmidt

Since Specialization

Citations

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

Fields of papers citing papers by W. J. Kleinschmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. J. Kleinschmidt

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