J. W. Schut

24 total papers · 735 total citations
20 papers, 452 citations indexed

About

J. W. Schut is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, J. W. Schut has authored 20 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 4 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in J. W. Schut's work include Plant Pathogens and Resistance (9 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). J. W. Schut is often cited by papers focused on Plant Pathogens and Resistance (9 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). J. W. Schut collaborates with scholars based in United States, Czechia and United Kingdom. J. W. Schut's co-authors include Xiaoquan Qi, P. Stam, María José Truco, Richard W. Michelmore, A. Lebeda, David Pink, Kent J. Bradford, R. van Treuren, T.J.L. van Hintum and Jason Argyris and has published in prestigious journals such as The Plant Journal, Theoretical and Applied Genetics and Molecular Plant-Microbe Interactions.

In The Last Decade

J. W. Schut

20 papers receiving 401 citations

Author Peers

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

Author						Papers	Cites
J. W. Schut	404	116	114	46	32	20	452
Jun Fu	318 0.8×	145 1.3×	238 2.1×	33 0.7×	27 0.8×	24	483
Kristiina Antonius	392 1.0×	83 0.7×	177 1.6×	38 0.8×	55 1.7×	15	456
Camila Campos Mantello	255 0.6×	180 1.6×	208 1.8×	33 0.7×	18 0.6×	21	437
Venkata Lakshmi Abburi	427 1.1×	174 1.5×	144 1.3×	28 0.6×	12 0.4×	22	535
Kyu‐Won Kim	433 1.1×	256 2.2×	136 1.2×	15 0.3×	48 1.5×	25	548
Shiveta Sharma	478 1.2×	131 1.1×	146 1.3×	26 0.6×	24 0.8×	20	524
Zunzheng Wei	273 0.7×	140 1.2×	205 1.8×	35 0.8×	41 1.3×	36	409
Qingguo Ma	238 0.6×	80 0.7×	231 2.0×	19 0.4×	31 1.0×	19	443
Haibo Xin	389 1.0×	77 0.7×	249 2.2×	12 0.3×	23 0.7×	18	473
Xuemei Ni	304 0.8×	87 0.8×	189 1.7×	15 0.3×	16 0.5×	22	432

Countries citing papers authored by J. W. Schut

Since Specialization

Citations

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

Fields of papers citing papers by J. W. Schut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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