Wei Chang

853 total citations
21 papers, 353 citations indexed

About

Wei Chang is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Wei Chang has authored 21 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 2 papers in Molecular Biology and 2 papers in Ecology. Recurrent topics in Wei Chang's work include Plant Disease Resistance and Genetics (6 papers), Chromosomal and Genetic Variations (6 papers) and Soybean genetics and cultivation (5 papers). Wei Chang is often cited by papers focused on Plant Disease Resistance and Genetics (6 papers), Chromosomal and Genetic Variations (6 papers) and Soybean genetics and cultivation (5 papers). Wei Chang collaborates with scholars based in China, Finland and Canada. Wei Chang's co-authors include Alan H. Schulman, Jaakko Tanskanen, Ruslan Kalendar, Kristiina Antonius, Ofer Peleg, Hanan Sela, Wenbin Li, Yingpeng Han, Marko Jääskeläinen and Weili Teng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and New Phytologist.

In The Last Decade

Wei Chang

20 papers receiving 345 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Wei Chang China	10	314	122	41	21	15	21	353
Kalyani M. Barbadikar India	11	228 0.7×	103 0.8×	52 1.3×	8 0.4×	15 1.0×	39	279
Dadakhalandar Doddamani India	11	445 1.4×	164 1.3×	120 2.9×	36 1.7×	16 1.1×	17	577
Marina Wissotski United States	5	293 0.9×	206 1.7×	109 2.7×	17 0.8×	11 0.7×	7	350
Harrie Schneiders Netherlands	7	230 0.7×	219 1.8×	111 2.7×	20 1.0×	8 0.5×	7	334
C. N. Neeraja India	12	288 0.9×	66 0.5×	80 2.0×	8 0.4×	16 1.1×	37	334
Xiaofeng Zu China	9	336 1.1×	138 1.1×	23 0.6×	5 0.2×	7 0.5×	10	377
Yawei Gao China	7	281 0.9×	332 2.7×	84 2.0×	30 1.4×	20 1.3×	10	423
Yongsheng Yan China	10	595 1.9×	211 1.7×	52 1.3×	10 0.5×	18 1.2×	17	647
Dexing Lin China	4	343 1.1×	235 1.9×	45 1.1×	11 0.5×	21 1.4×	4	431
Yexing Jing China	8	337 1.1×	162 1.3×	23 0.6×	25 1.2×	20 1.3×	12	372

Countries citing papers authored by Wei Chang

Since Specialization

Citations

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

Fields of papers citing papers by Wei Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Chang. A scholar is included among the top collaborators of Wei 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 Wei Chang. Wei Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Peng, Jing, Lijuan Chen, Baochuan Lin, et al.. (2025). DNA Scaffold-Enhanced Hybrid Chain Reaction for Molecular Diagnosis of miRNAs. Journal of Analysis and Testing. 9(2). 290–295. 3 indexed citations

Yao, Hong, et al.. (2025). Perineural invasion and the “cold” tumor microenvironment in pancreatic cancer: mechanisms of crosstalk and therapeutic opportunities. Frontiers in Immunology. 16. 1650117–1650117. 1 indexed citations

Li, Ming, et al.. (2024). Investigation of swirler effect on combustion and exergy efficiency of hydrogen/chlorine combustor based on entropy generation analysis. Energy. 300. 131593–131593. 3 indexed citations

Wei, Bo, et al.. (2024). Feature optimization combined with UPerNet-Twins model for eucalyptus extraction from Sentinel-2A image. Journal of Physics Conference Series. 2724(1). 12023–12023.

Tanskanen, Jaakko, et al.. (2023). Drought and recovery in barley: key gene networks and retrotransposon response. Frontiers in Plant Science. 14. 1193284–1193284. 6 indexed citations

Chang, Wei, Teng-Fei Lin, Yi-Wen Jiang, et al.. (2022). Characteristics and Containment of 74 Imported COVID-19 Outbreaks: Experiences, Lessons, and Implications — China, 2020–2021. China CDC Weekly. 4(50). 1131–1135. 1 indexed citations

Bruce, Margaret, Wei Chang, Frederick L. Stoddard, et al.. (2022). Genomic regions associated with chocolate spot (Botrytis fabae Sard.) resistance in faba bean (Vicia faba L.). Molecular Breeding. 42(6). 35–35. 12 indexed citations

Nadzieja, Marcin, Wei Chang, Davide Mancinotti, et al.. (2021). VC1 catalyses a key step in the biosynthesis of vicine in faba bean. Nature Plants. 7(7). 923–931. 44 indexed citations

Ma, Yanmei, Xiaoyong Chen, Xiancheng Zeng, et al.. (2019). Identification and Characterization of a Distinct Strain of Beak and Feather Disease Virus in Southeast China. Virologica Sinica. 35(1). 43–51. 5 indexed citations

10.

Han, Yingpeng, Wei Chang, Zizhen Wang, et al.. (2017). Quantitative trait loci with additive and epistatic effects underlying resistance to two HG types of soybean cyst nematode. Plant Breeding. 136(5). 720–727. 9 indexed citations

11.

Chang, Wei, et al.. (2013). BARE Retrotransposons Are Translated and Replicated via Distinct RNA Pools. PLoS ONE. 8(8). e72270–e72270. 18 indexed citations

12.

Zhou, Xin, et al.. (2013). Genome-wide transcriptional analysis of two soybean genotypes under dehydration and rehydration conditions. BMC Genomics. 14(1). 687–687. 40 indexed citations

13.

Jääskeläinen, Marko, Wei Chang, Cédric Moisy, & Alan H. Schulman. (2013). Retrotransposon BARE displays strong tissue‐specific differences in expression. New Phytologist. 200(4). 1000–1008. 12 indexed citations

14.

Chang, Wei, et al.. (2012). A Modified Method for the Development of SSR Molecular Markers Based on Redundant EST Data and Its Application in Soybean. Journal of Integrative Agriculture. 11(4). 545–555. 1 indexed citations

15.

Chang, Wei, Zizhen Wang, Yingpeng Han, et al.. (2011). QTL underlying resistance to two HG types of Heterodera glycines found in soybean cultivar 'L-10'. BMC Genomics. 12(1). 233–233. 23 indexed citations

16.

Han, Yingpeng, Dongwei Xie, Weili Teng, et al.. (2011). Dynamic QTL analysis of linolenic acid content in different developmental stages of soybean seed. Theoretical and Applied Genetics. 122(8). 1481–1488. 27 indexed citations

17.

Liu, Yongxin, Yingpeng Han, Wei Chang, et al.. (2010). Genomic Analysis of MicroRNA Promoters and Their Cis-Acting Elements in Soybean. Agricultural Sciences in China. 9(11). 1561–1570. 11 indexed citations

18.

Chang, Wei & Alan H. Schulman. (2008). BARE retrotransposons produce multiple groups of rarely polyadenylated transcripts from two differentially regulated promoters. The Plant Journal. 56(1). 40–50. 18 indexed citations

19.

Kalendar, Ruslan, Jaakko Tanskanen, Wei Chang, et al.. (2008). Cassandraretrotransposons carry independently transcribed 5S RNA. Proceedings of the National Academy of Sciences. 105(15). 5833–5838. 113 indexed citations

20.

Sabot, François, Ruslan Kalendar, Marko Jääskeläinen, et al.. (2006). Retrotransposons: Metaparasites and Agents of Genome Evolution. Israel Journal of Ecology and Evolution. 52(3-4). 319–330. 5 indexed citations

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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