Chengjun Wu

676 total citations
40 papers, 465 citations indexed

About

Chengjun Wu is a scholar working on Plant Science, Agronomy and Crop Science and Insect Science. According to data from OpenAlex, Chengjun Wu has authored 40 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 6 papers in Agronomy and Crop Science and 3 papers in Insect Science. Recurrent topics in Chengjun Wu's work include Soybean genetics and cultivation (37 papers), Legume Nitrogen Fixing Symbiosis (25 papers) and Plant responses to water stress (12 papers). Chengjun Wu is often cited by papers focused on Soybean genetics and cultivation (37 papers), Legume Nitrogen Fixing Symbiosis (25 papers) and Plant responses to water stress (12 papers). Chengjun Wu collaborates with scholars based in United States, China and Canada. Chengjun Wu's co-authors include Pengyin Chen, Fiona L. Goggin, Ailan Zeng, Lingling Jia, Mariola Klepadlo, Henry T. Nguyen, Carlos A. Avila, Leandro Mozzoni, Heng Ye and Kenneth L. Korth and has published in prestigious journals such as Scientific Reports, Journal of Experimental Botany and Plant Cell & Environment.

In The Last Decade

Chengjun Wu

35 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengjun Wu United States	12	446	75	44	27	23	40	465
Ahmed Ashoub Germany	10	388 0.9×	150 2.0×	25 0.6×	20 0.7×	32 1.4×	17	432
B. Sailaja India	9	255 0.6×	72 1.0×	10 0.2×	19 0.7×	21 0.9×	19	282
Paul Kusolwa Tanzania	10	234 0.5×	51 0.7×	32 0.7×	42 1.6×	14 0.6×	28	300
Dhruv Lavania India	9	342 0.8×	230 3.1×	20 0.5×	15 0.6×	15 0.7×	11	406
Francis Martin France	5	244 0.5×	95 1.3×	39 0.9×	13 0.5×	15 0.7×	7	287
Nataliya Kovalchuk Australia	10	409 0.9×	193 2.6×	11 0.3×	20 0.7×	29 1.3×	15	450
Mathieu Anatole Tele Ayenan Benin	11	268 0.6×	55 0.7×	27 0.6×	28 1.0×	20 0.9×	27	322
Guangwen Lu China	8	396 0.9×	144 1.9×	42 1.0×	97 3.6×	27 1.2×	9	423
Prasanta Kumar Majhi India	8	162 0.4×	42 0.6×	67 1.5×	22 0.8×	15 0.7×	34	224

Countries citing papers authored by Chengjun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chengjun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjun Wu

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

All Works

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20 of 20 papers shown

Wu, Chengjun, et al.. (2024). Registration of R16‐45 as a flood‐tolerant, high‐yielding soybean germplasm line. Journal of Plant Registrations. 18(1). 157–163.

Wu, Chengjun, John B. Carlin, Leandro Mozzoni, et al.. (2024). Impact of flooding at the early reproductive growth stage on soybean yield and seed composition. Crop Science. 65(1). 3 indexed citations

Wu, Chengjun, et al.. (2024). Across-environment seed protein stability and genetic architecture of seed components in soybean. Scientific Reports. 14(1). 16452–16452. 3 indexed citations

Harrison, David J., et al.. (2023). Registration of soybean germplasm line R14‐1422 with high yield and moderate resistance to southern root knot nematode. Journal of Plant Registrations. 17(3). 561–566.

Wu, Chengjun, et al.. (2022). Impact of Delaying Irrigation on Wilting, Seed Yield, and Other Agronomic Traits of Determinate MG5 Soybean. Agronomy. 12(5). 1115–1115. 1 indexed citations

Silva, Marcos Paulo da, et al.. (2021). Effect of Planting Date and Cultivar Maturity in Edamame Quality and Harvest Window. Frontiers in Plant Science. 11. 585856–585856. 11 indexed citations

Wu, Chengjun, Marcos Paulo da Silva, Kristofor R. Brye, et al.. (2021). Developing a high‐throughput method to screen soybean germplasm for hypoxia tolerance in a hydroponic system. Crop Science. 62(2). 592–609. 1 indexed citations

Mozzoni, Leandro, et al.. (2020). Registration of soybean germplasm R11‐7999 with high seed protein content and high yield. Journal of Plant Registrations. 14(1). 82–86. 3 indexed citations

Zeng, Ailan, Pengyin Chen, Kenneth L. Korth, et al.. (2018). RNA sequencing analysis of salt tolerance in soybean (Glycine max). Genomics. 111(4). 629–635. 32 indexed citations

10.

Mozzoni, Leandro, et al.. (2018). Registration of ‘UA Mulberry’ Vegetable Soybean Cultivar. Journal of Plant Registrations. 13(1). 28–30. 3 indexed citations

11.

Ye, Heng, Li Song, Huatao Chen, et al.. (2018). A major natural genetic variation associated with root system architecture and plasticity improves waterlogging tolerance and yield in soybean. Plant Cell & Environment. 41(9). 2169–2182. 69 indexed citations

12.

Chen, Pengyin, et al.. (2017). Evaluation of Diverse Soybean Germplasm for Forage Yield and Quality Attributes. Crop Science. 57(2). 1020–1026. 6 indexed citations

13.

Orazaly, Moldir, et al.. (2017). Registration of ‘UA 5814HP’ Soybean with High Yield and High Seed‐Protein Content. Journal of Plant Registrations. 11(2). 116–120. 4 indexed citations

14.

Orazaly, Moldir, et al.. (2016). Registration of ‘UA 5014C’ Soybean. Journal of Plant Registrations. 10(2). 119–123. 5 indexed citations

15.

Klepadlo, Mariola, Pengyin Chen, & Chengjun Wu. (2016). Genetic Analysis of Resistance to Soybean Mosaic Virus in PI 438307 Soybean Accession. Crop Science. 56(6). 3016–3023. 5 indexed citations

16.

Qin, Jun, Jianan Zhang, Chunyan Yang, et al.. (2016). Population Structure and Association Analysis of Traits in Summer Soybeans. Journal of Crop Improvement. 30(5). 572–594. 1 indexed citations

17.

Wu, Chengjun, Carlos A. Avila, & Fiona L. Goggin. (2014). The ethylene response factor Pti5 contributes to potato aphid resistance in tomato independent of ethylene signalling. Journal of Experimental Botany. 66(2). 559–570. 36 indexed citations

18.

Wu, Chengjun, Lingling Jia, & Fiona L. Goggin. (2010). The reliability of virus‐induced gene silencing experiments using tobacco rattle virus in tomato is influenced by the size of the vector control. Molecular Plant Pathology. 12(3). 299–305. 45 indexed citations

19.

Anstead, James A., et al.. (2009). Activation of ethylene‐related genes in response to aphid feeding on resistant and susceptible melon and tomato plants. Entomologia Experimentalis et Applicata. 134(2). 170–181. 25 indexed citations

20.

Han, Tianfu, et al.. (2005). Post‐Flowering Photoperiod Effects on Reproductive Development and Agronomic Traits of Long‐Day and Short‐Day Crops. Journal of Agronomy and Crop Science. 191(4). 255–262. 7 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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