Junming Sun

1.5k total citations
47 papers, 1.0k citations indexed

About

Junming Sun is a scholar working on Plant Science, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Junming Sun has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Plant Science, 23 papers in Pathology and Forensic Medicine and 10 papers in Molecular Biology. Recurrent topics in Junming Sun's work include Soybean genetics and cultivation (39 papers), Phytoestrogen effects and research (23 papers) and Photosynthetic Processes and Mechanisms (6 papers). Junming Sun is often cited by papers focused on Soybean genetics and cultivation (39 papers), Phytoestrogen effects and research (23 papers) and Photosynthetic Processes and Mechanisms (6 papers). Junming Sun collaborates with scholars based in China, Egypt and Nigeria. Junming Sun's co-authors include Bin Li, Fen-Xia Han, Shengrui Zhang, Shurong Yan, Wang Lianzheng, Abdulwahab S. Shaibu, Muhammad Azam, Ahmed M. Abdelghany, Jie Qi and Yue Feng and has published in prestigious journals such as Food Chemistry, New Phytologist and Frontiers in Plant Science.

In The Last Decade

Junming Sun

44 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junming Sun China 20 785 284 191 131 120 47 1.0k
Jean Daydé France 16 507 0.6× 273 1.0× 180 0.9× 59 0.5× 201 1.7× 47 830
Abdulwahab S. Shaibu Nigeria 17 564 0.7× 126 0.4× 113 0.6× 52 0.4× 61 0.5× 50 736
Makita Hajika Japan 22 1.2k 1.5× 90 0.3× 192 1.0× 55 0.4× 61 0.5× 58 1.3k
P. Kwanyuen United States 19 705 0.9× 53 0.2× 219 1.1× 40 0.3× 141 1.2× 33 1.1k
Jung‐Tae Kim South Korea 12 355 0.5× 87 0.3× 159 0.8× 30 0.2× 49 0.4× 99 666
Krishnanand P. Kulkarni South Korea 15 861 1.1× 31 0.1× 140 0.7× 162 1.2× 73 0.6× 38 996
Mingle Wang China 17 546 0.7× 175 0.6× 416 2.2× 17 0.1× 41 0.3× 46 865
Jean‐Michel Besle France 10 187 0.2× 52 0.2× 269 1.4× 64 0.5× 165 1.4× 13 730
Chunlai Wu China 19 770 1.0× 68 0.2× 425 2.2× 18 0.1× 23 0.2× 40 1.1k

Countries citing papers authored by Junming Sun

Since Specialization
Citations

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

Fields of papers citing papers by Junming Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junming Sun

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

All Works

20 of 20 papers shown
1.
2.
Abdelghany, Ahmed M., Shengrui Zhang, Jing Li, Bin Li, & Junming Sun. (2025). Seed phenotype and maturity groups as determinants of protein, oil, and fatty acid composition patterns in diverse soybean germplasm. BMC Plant Biology. 25(1). 1189–1189.
3.
Li, Yecheng, Kwadwo Gyapong Agyenim‐Boateng, Abdulwahab S. Shaibu, et al.. (2024). Natural variation of domestication-related genes contributed to latitudinal expansion and adaptation in soybean. BMC Plant Biology. 24(1). 651–651. 4 indexed citations
4.
Liu, Yitian, Shengrui Zhang, Jing Li, et al.. (2024). An R2R3‐type MYB transcription factor, GmMYB77, negatively regulates isoflavone accumulation in soybean [Glycine max (L.) Merr.]. Plant Biotechnology Journal. 23(3). 824–838. 6 indexed citations
5.
Agyenim‐Boateng, Kwadwo Gyapong, Shengrui Zhang, Jie Qi, et al.. (2023). Identification of quantitative trait loci and candidate genes for seed folate content in soybean. Theoretical and Applied Genetics. 136(7). 149–149. 2 indexed citations
6.
Zhang, Shengrui, Ahmed M. Abdelghany, Muhammad Azam, et al.. (2023). Mining candidate genes underlying seed oil content using BSA-seq in soybean. Industrial Crops and Products. 194. 116308–116308. 10 indexed citations
7.
Azam, Muhammad, Shengrui Zhang, Jing Li, et al.. (2023). Identification of hub genes regulating isoflavone accumulation in soybean seeds via GWAS and WGCNA approaches. Frontiers in Plant Science. 14. 1120498–1120498. 19 indexed citations
8.
Azam, Muhammad, Shengrui Zhang, Ahmed M. Abdelghany, et al.. (2023). Identification of genes for seed isoflavones based on bulk segregant analysis sequencing in soybean natural population. Theoretical and Applied Genetics. 136(1). 13–13. 19 indexed citations
9.
Agyenim‐Boateng, Kwadwo Gyapong, Shengrui Zhang, M. J. I. Shohag, et al.. (2023). Folate Biofortification in Soybean: Challenges and Prospects. Agronomy. 13(1). 241–241. 9 indexed citations
10.
Agyenim‐Boateng, Kwadwo Gyapong, Shengrui Zhang, Yongzhe Gu, et al.. (2023). QTL Mapping for Seed Tocopherol Content in Soybean. Agronomy. 13(5). 1188–1188. 3 indexed citations
11.
Agyenim‐Boateng, Kwadwo Gyapong, Shengrui Zhang, Abdulwahab S. Shaibu, et al.. (2023). The nutritional composition of the vegetable soybean (maodou) and its potential in combatting malnutrition. Frontiers in Nutrition. 9. 1034115–1034115. 26 indexed citations
12.
Li, Fangqi, Wenbo Chen, Zhiwen Luo, et al.. (2023). Bone marrow mesenchymal stem cell-derived exosomal microRNAs target PI3K/Akt signaling pathway to promote the activation of fibroblasts. World Journal of Stem Cells. 15(4). 248–267. 7 indexed citations
13.
Agyenim‐Boateng, Kwadwo Gyapong, Shengrui Zhang, Yongzhe Gu, et al.. (2022). Profiling of naturally occurring folates in a diverse soybean germplasm by HPLC-MS/MS. Food Chemistry. 384. 132520–132520. 24 indexed citations
14.
Shaibu, Abdulwahab S., Shengrui Zhang, Yue Feng, et al.. (2022). The GmSNAP11 Contributes to Resistance to Soybean Cyst Nematode Race 4 in Glycine max. Frontiers in Plant Science. 13. 939763–939763. 9 indexed citations
15.
Azam, Muhammad, Shengrui Zhang, Ahmed M. Abdelghany, et al.. (2019). Seed isoflavone profiling of 1168 soybean accessions from major growing ecoregions in China. Food Research International. 130. 108957–108957. 65 indexed citations
16.
Li, Bin, Ying Chen, Shengrui Zhang, et al.. (2017). High-resolution mapping of QTL for fatty acid composition in soybean using specific-locus amplified fragment sequencing. Theoretical and Applied Genetics. 130(7). 1467–1479. 38 indexed citations
17.
Ma, Lei, Bin Li, Fen-Xia Han, et al.. (2014). Evaluation of the chemical quality traits of soybean seeds, as related to sensory attributes of soymilk. Food Chemistry. 173. 694–701. 76 indexed citations
18.
Li, Bin, et al.. (2014). Comparative Analysis of Gene Expression Profiling Between Resistant and Susceptible Varieties Infected With Soybean Cyst Nematode Race 4 in Glycine max. Journal of Integrative Agriculture. 13(12). 2594–2607. 6 indexed citations
19.
Han, Fen-Xia, et al.. (2014). Quantitative Trait Loci of Major Fatty Acid Components in Soybean. ACTA AGRONOMICA SINICA. 40(9). 1595–1603. 1 indexed citations
20.
Sun, Junming, et al.. (2008). [Rapid determination of fatty acids in soybeans [Glycine max (L.) Merr.] by FT-near-infrared reflectance spectroscopy].. PubMed. 28(6). 1290–5. 6 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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