Min Ge

626 total citations
20 papers, 435 citations indexed

About

Min Ge is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Min Ge has authored 20 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 5 papers in Agronomy and Crop Science and 4 papers in Molecular Biology. Recurrent topics in Min Ge's work include Plant nutrient uptake and metabolism (10 papers), Plant Molecular Biology Research (5 papers) and Crop Yield and Soil Fertility (5 papers). Min Ge is often cited by papers focused on Plant nutrient uptake and metabolism (10 papers), Plant Molecular Biology Research (5 papers) and Crop Yield and Soil Fertility (5 papers). Min Ge collaborates with scholars based in China, United States and United Kingdom. Min Ge's co-authors include Han Zhao, Tifu Zhang, Yuanda Lv, Ronghu Ke, Jun‐Yi Yang, Xiongzheng Mu, Feng Lin, Yuancong Wang, Jiang Lu and Zhikai Liang and has published in prestigious journals such as PLoS ONE, The Plant Cell and Biochemical and Biophysical Research Communications.

In The Last Decade

Min Ge

17 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min Ge China	10	286	194	116	52	48	20	435
Zhikai Liang United States	15	441 1.5×	257 1.3×	48 0.4×	166 3.2×	52 1.1×	28	584
Guanghui Chen China	9	251 0.9×	188 1.0×	21 0.2×	34 0.7×	10 0.2×	23	434
Qingguo Du China	14	643 2.2×	278 1.4×	37 0.3×	73 1.4×	38 0.8×	25	764
Mingyang Quan China	16	402 1.4×	417 2.1×	148 1.3×	121 2.3×	92 1.9×	48	671
Minjie Deng China	19	732 2.6×	387 2.0×	30 0.3×	17 0.3×	36 0.8×	54	831
Ghulam Wassan China	8	320 1.1×	147 0.8×	23 0.2×	81 1.6×	24 0.5×	13	366
Shouli Feng China	11	299 1.0×	161 0.8×	34 0.3×	25 0.5×	63 1.3×	23	370
Qiongqiong Wang China	14	425 1.5×	463 2.4×	37 0.3×	48 0.9×	36 0.8×	23	637
Chao Wei China	10	166 0.6×	155 0.8×	94 0.8×	56 1.1×	14 0.3×	12	372

Countries citing papers authored by Min Ge

Since Specialization

Citations

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

Fields of papers citing papers by Min Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Min Ge. A scholar is included among the top collaborators of Min Ge 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 Min Ge. Min Ge 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

Ge, Min, Yuancong Wang, Yuhe Liu, et al.. (2025). The transcription factor ZmNLP5 increases maize grain yield by regulating nitrogen assimilation genes. The Crop Journal. 13(6). 1762–1772.

Li, Han, et al.. (2025). Comparison in trends and outcomes of multiple vs. single arterial coronary bypass graft surgery. Frontiers in Cardiovascular Medicine. 12. 1661006–1661006.

Zhu, Qingqing, et al.. (2025). Comparison of multiple arterial grafts vs. single arterial graft in coronary artery bypass surgery: a systematic review and meta-analysis. Frontiers in Cardiovascular Medicine. 12. 1555242–1555242. 1 indexed citations

Gu, Longjiang, Qiuyu Cao, Jinlei Dong, et al.. (2025). Transcription factor ZmNLP8 modulates nitrate utilization by transactivating ZmNiR1.2 in maize. The Plant Journal. 122(5). e70263–e70263. 2 indexed citations

Zhang, Mingliang, Yuancong Wang, Min Ge, et al.. (2024). Time-course transcriptomic analysis reveals transcription factors involved in modulating nitrogen sensibility in maize. Journal of genetics and genomics. 52(3). 400–410. 1 indexed citations

Li, Chun, et al.. (2024). To investigate the correlation of serum NLRP3 level with endothelial function, severity of disease and prognosis in elderly patients with chronic heart failure. Minerva Medica.

Ning, Lihua, Yuancong Wang, Ling Zhou, et al.. (2022). Nitrogen-dependent binding of the transcription factor PBF1 contributes to the balance of protein and carbohydrate storage in maize endosperm. The Plant Cell. 35(1). 409–434. 20 indexed citations

Wang, Yuancong, et al.. (2020). High-resolution profile of transcriptomes reveals a role of alternative splicing for modulating response to nitrogen in maize. BMC Genomics. 21(1). 353–353. 24 indexed citations

Du, Hongyang, Lihua Ning, Bing He, et al.. (2020). Cross-Species Root Transcriptional Network Analysis Highlights Conserved Modules in Response to Nitrate between Maize and Sorghum. International Journal of Molecular Sciences. 21(4). 1445–1445. 9 indexed citations

10.

Ge, Min, Yuancong Wang, Yuhe Liu, et al.. (2019). The NIN‐like protein 5 (ZmNLP5) transcription factor is involved in modulating the nitrogen response in maize. The Plant Journal. 102(2). 353–368. 60 indexed citations

11.

Gu, Longjiang, et al.. (2019). Transcriptome analysis reveals comprehensive responses to cadmium stress in maize inoculated with arbuscular mycorrhizal fungi. Ecotoxicology and Environmental Safety. 186. 109744–109744. 29 indexed citations

12.

Ge, Min, et al.. (2019). Expression of Maize MADS Transcription Factor ZmES22 Negatively Modulates Starch Accumulation in Rice Endosperm. International Journal of Molecular Sciences. 20(3). 483–483. 15 indexed citations

13.

Ge, Min, et al.. (2017). Value of Osteoblast-Derived Exosomes in Bone Diseases. Journal of Craniofacial Surgery. 28(4). 866–870. 15 indexed citations

14.

Ge, Min, Yuhe Liu, Jiang Lu, et al.. (2017). Genome-wide analysis of maize NLP transcription factor family revealed the roles in nitrogen response. Plant Growth Regulation. 84(1). 95–105. 39 indexed citations

15.

Ge, Min, et al.. (2016). Global Transcriptome Analysis in High- and Low-Nitrogen Responsive Inbred Lines of Maize. ACTA AGRONOMICA SINICA. 42(10). 1487–1487. 3 indexed citations

16.

Lv, Yuanda, Zhikai Liang, Min Ge, et al.. (2016). Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.). BMC Genomics. 17(1). 350–350. 102 indexed citations

17.

Ma, Tao, Min Ge, Jing Li, et al.. (2016). Enzymatic Synthesis of Novel Bavachinin Glucoside by UDP‐glycosyltransferase. Journal of the Chinese Chemical Society. 63(4). 376–378. 4 indexed citations

18.

Lu, Jiang, Min Ge, Han Zhao, & Tifu Zhang. (2015). Analysis of Heterosis and Quantitative Trait Loci for Kernel Shape Related Traits Using Triple Testcross Population in Maize. PLoS ONE. 10(4). e0124779–e0124779. 25 indexed citations

19.

Ge, Min, et al.. (2015). Identification and proteomic analysis of osteoblast-derived exosomes. Biochemical and Biophysical Research Communications. 467(1). 27–32. 83 indexed citations

20.

Zhang, Tifu, Min Ge, Xiaoqing Ye, Suleiman S. Bughrara, & Han Zhao. (2012). Construction of a linkage map for quantitative trait loci associated with economically important traits in creeping bentgrass (Agrostis stolonifera L.). Euphytica. 188(3). 347–360. 3 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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