Kuo‐Szu Chiang

27 total papers · 754 total citations
20 papers, 463 citations indexed

About

Kuo‐Szu Chiang is a scholar working on Plant Science, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Kuo‐Szu Chiang has authored 20 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 3 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Kuo‐Szu Chiang's work include Wheat and Barley Genetics and Pathology (10 papers), Genetics and Plant Breeding (8 papers) and Plant Disease Resistance and Genetics (5 papers). Kuo‐Szu Chiang is often cited by papers focused on Wheat and Barley Genetics and Pathology (10 papers), Genetics and Plant Breeding (8 papers) and Plant Disease Resistance and Genetics (5 papers). Kuo‐Szu Chiang collaborates with scholars based in Taiwan, United States and Belgium. Kuo‐Szu Chiang's co-authors include Clive H. Bock, Emerson M. Del Ponte, Moussa El Jarroudi, Philippe Delfosse, Shih‐Chia Liu, T. R. Gottwald, Louis Kouadio, Anne‐Katrin Mahlein, Jayme Garcia Arnal Barbedo and Yu‐Mei Chang and has published in prestigious journals such as Phytopathology, Plant Disease and Annals of Applied Biology.

In The Last Decade

Kuo‐Szu Chiang

20 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Kuo‐Szu Chiang 412 155 34 31 27 20 463
Jieru Fan 400 1.0× 126 0.8× 65 1.9× 56 1.8× 38 1.4× 23 444
Tijana Petrović 473 1.1× 352 2.3× 22 0.6× 71 2.3× 39 1.4× 22 532
Holger Klink 359 0.9× 152 1.0× 66 1.9× 43 1.4× 10 0.4× 23 416
Muhammad Aamir Sohail 313 0.8× 76 0.5× 20 0.6× 115 3.7× 9 0.3× 27 431
Cassandra Percy 460 1.1× 203 1.3× 18 0.5× 45 1.5× 13 0.5× 19 502
Thomas Oberhänsli 334 0.8× 97 0.6× 28 0.8× 122 3.9× 6 0.2× 25 428
Adelin Barbacci 439 1.1× 92 0.6× 43 1.3× 119 3.8× 5 0.2× 21 528
E.-C. Oerke 357 0.9× 148 1.0× 28 0.8× 26 0.8× 72 2.7× 15 408
Ana María Romero 399 1.0× 103 0.7× 31 0.9× 42 1.4× 13 0.5× 29 425
Christina H. Hagerty 433 1.1× 108 0.7× 42 1.2× 79 2.5× 10 0.4× 27 522

Countries citing papers authored by Kuo‐Szu Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Szu Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Szu Chiang. 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 Kuo‐Szu Chiang. The network helps show where Kuo‐Szu Chiang may publish in the future.

Co-authorship network of co-authors of Kuo‐Szu Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Szu Chiang. A scholar is included among the top collaborators of Kuo‐Szu Chiang 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 Kuo‐Szu Chiang. Kuo‐Szu Chiang 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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