Ya‐Chun Chang

44 total papers · 497 total citations
33 papers, 382 citations indexed

About

Ya‐Chun Chang is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Ya‐Chun Chang has authored 33 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 10 papers in Molecular Biology and 8 papers in Endocrinology. Recurrent topics in Ya‐Chun Chang's work include Plant Virus Research Studies (23 papers), Plant Pathogenic Bacteria Studies (9 papers) and Plant and Fungal Interactions Research (8 papers). Ya‐Chun Chang is often cited by papers focused on Plant Virus Research Studies (23 papers), Plant Pathogenic Bacteria Studies (9 papers) and Plant and Fungal Interactions Research (8 papers). Ya‐Chun Chang collaborates with scholars based in Taiwan, United States and China. Ya‐Chun Chang's co-authors include Shu‐Chuan Lee, M. Borja, T.J. Morris, Andrew O. Jackson, Karen‐Beth G. Scholthof, Chun‐Lin Huang, C.‐H. Huang, Yeng-Long Chen, Chen‐hsiung Chan and Kui‐Ching Hsu and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Ya‐Chun Chang

31 papers receiving 354 citations

Author Peers

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

Author						Papers	Cites
Ya‐Chun Chang	248	102	96	44	42	33	382
David E. Schlegel	316 1.3×	114 1.1×	69 0.7×	30 0.7×	36 0.9×	31	403
Anna Urbanowicz	217 0.9×	169 1.7×	99 1.0×	23 0.5×	45 1.1×	27	403
Jun Jiang	385 1.6×	128 1.3×	98 1.0×	40 0.9×	34 0.8×	17	440
Bingsheng Qiu	230 0.9×	156 1.5×	43 0.4×	61 1.4×	18 0.4×	30	422
T. W. Carroll	278 1.1×	97 1.0×	97 1.0×	34 0.8×	34 0.8×	28	334
Ron Reade	370 1.5×	79 0.8×	130 1.4×	45 1.0×	70 1.7×	23	402
Nazia Nahid	305 1.2×	103 1.0×	101 1.1×	18 0.4×	14 0.3×	28	386
Xiangli Dong	255 1.0×	84 0.8×	67 0.7×	37 0.8×	16 0.4×	21	365
W.P. Mowat	341 1.4×	63 0.6×	86 0.9×	42 1.0×	33 0.8×	27	412
Patricia L. Traynor	294 1.2×	136 1.3×	62 0.6×	55 1.3×	68 1.6×	18	357

Countries citing papers authored by Ya‐Chun Chang

Since Specialization

Citations

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

Fields of papers citing papers by Ya‐Chun Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Chun Chang. 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 Ya‐Chun Chang. The network helps show where Ya‐Chun Chang may publish in the future.

Co-authorship network of co-authors of Ya‐Chun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Chun Chang. A scholar is included among the top collaborators of Ya‐Chun Chang 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 Ya‐Chun Chang. Ya‐Chun Chang 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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