Dehe Cheng

482 total citations
9 papers, 242 citations indexed

About

Dehe Cheng is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Dehe Cheng has authored 9 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Dehe Cheng's work include Plant tissue culture and regeneration (5 papers), Chromosomal and Genetic Variations (4 papers) and Genetics and Plant Breeding (3 papers). Dehe Cheng is often cited by papers focused on Plant tissue culture and regeneration (5 papers), Chromosomal and Genetic Variations (4 papers) and Genetics and Plant Breeding (3 papers). Dehe Cheng collaborates with scholars based in China, United States and Netherlands. Dehe Cheng's co-authors include Mario Cappadocia, Chenxu Liu, Shaojiang Chen, Yu Zhong, Zongkai Liu, Xiaolong Qi, Ming Chen, Chen Chen, Yanyan Jiao and Wenxin Liu and has published in prestigious journals such as The Plant Journal, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Dehe Cheng

8 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dehe Cheng China	8	197	175	34	23	16	9	242
W. A. Wietsma Netherlands	8	277 1.4×	90 0.5×	35 1.0×	15 0.7×	26 1.6×	16	304
Kaitlin J. Palla United States	6	122 0.6×	146 0.8×	13 0.4×	9 0.4×	10 0.6×	8	193
Greg S. Goralogia United States	8	239 1.2×	219 1.3×	13 0.4×	13 0.6×	13 0.8×	12	285
Baris Weber Germany	7	209 1.1×	65 0.4×	33 1.0×	17 0.7×	5 0.3×	10	263
Sae Takahashi Japan	10	535 2.7×	422 2.4×	38 1.1×	8 0.3×	14 0.9×	15	571
Nobumasa Nito Japan	12	251 1.3×	230 1.3×	60 1.8×	20 0.9×	11 0.7×	28	312
Johannes A. Hofberger Netherlands	6	126 0.6×	147 0.8×	40 1.2×	6 0.3×	22 1.4×	6	208
Tatiana Thouroude France	5	275 1.4×	233 1.3×	39 1.1×	15 0.7×	18 1.1×	8	332
Magnus Rath Germany	8	259 1.3×	82 0.5×	34 1.0×	11 0.5×	3 0.2×	9	293
Philipp Weckwerth United States	6	201 1.0×	151 0.9×	13 0.4×	16 0.7×	13 0.8×	6	262

Countries citing papers authored by Dehe Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Dehe Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehe Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Dehe Cheng. A scholar is included among the top collaborators of Dehe Cheng 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 Dehe Cheng. Dehe Cheng 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:

9 of 9 papers shown

1.

Cheng, Dehe, et al.. (2025). Genomic Prediction for Germplasm Improvement Through Inter-Heterotic-Group Line Crossing in Maize. International Journal of Molecular Sciences. 26(6). 2662–2662.

2.

Cheng, Dehe, Chen Chen, Yuwen Wang, et al.. (2023). Genome-wide association and genomic prediction for resistance to southern corn rust in DH and testcross populations. Frontiers in Plant Science. 14. 1109116–1109116. 7 indexed citations

3.

Zhong, Yu, Bin Feng, Xiaolong Qi, et al.. (2023). The RUBY reporter enables efficient haploid identification in maize and tomato. Plant Biotechnology Journal. 21(8). 1707–1715. 44 indexed citations

4.

Qi, Xiaolong, Dong Wang, Yu Zhong, et al.. (2022). ZmCOI2a and ZmCOI2b redundantly regulate anther dehiscence and gametophytic male fertility in maize. The Plant Journal. 110(3). 849–862. 32 indexed citations

5.

Chen, Ming, Dehe Cheng, Wei Li, et al.. (2022). An accurate and effective single-seed moisture selection method based on nuclear magnetic resonance (NMR) in maize. Computers and Electronics in Agriculture. 193. 106649–106649. 10 indexed citations

6.

Zhong, Yu, Baojian Chen, Mengran Li, et al.. (2020). A DMP-triggered in vivo maternal haploid induction system in the dicotyledonous Arabidopsis. Nature Plants. 6(5). 466–472. 98 indexed citations

7.

Cheng, Dehe, et al.. (1988). Effect of X‐ray Irradiation on Maize Inbred Line B73 Tissue Cultures and Regenerated Plants. Crop Science. 28(2). 358–362. 12 indexed citations

8.

Cappadocia, Mario, et al.. (1986). Self-compatibility in doubled haploids and their F1 hybrids, regenerated via anther culture in self-incompatible Solanum chacoense Bitt.. Theoretical and Applied Genetics. 72(1). 66–69. 15 indexed citations

9.

Cappadocia, Mario, et al.. (1984). Plant regeneration from in vitro culture of anthers of Solanum chacoense Bitt. and interspecific diploid hybrids S. tuberosum L. x S. chacoense Bitt.. Theoretical and Applied Genetics. 69(2). 139–143. 24 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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