Qingchun Pan

2.9k total citations
60 papers, 1.6k citations indexed

About

Qingchun Pan is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Qingchun Pan has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 35 papers in Genetics and 12 papers in Molecular Biology. Recurrent topics in Qingchun Pan's work include Genetic Mapping and Diversity in Plants and Animals (33 papers), Plant nutrient uptake and metabolism (17 papers) and Genetics and Plant Breeding (16 papers). Qingchun Pan is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (33 papers), Plant nutrient uptake and metabolism (17 papers) and Genetics and Plant Breeding (16 papers). Qingchun Pan collaborates with scholars based in China, Germany and United States. Qingchun Pan's co-authors include Jianbing Yan, Fanjun Chen, Lixing Yuan, Xiaohong Yang, Haijun Liu, Wenqiang Li, Jiansheng Li, Jie Liu, Yingjie Xiao and Hao Tong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Cell.

In The Last Decade

Qingchun Pan

58 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingchun Pan China 24 1.2k 714 443 224 84 60 1.6k
Xue Yang China 21 1.3k 1.1× 300 0.4× 883 2.0× 61 0.3× 44 0.5× 91 1.8k
Pengfei Qi China 23 1.3k 1.1× 392 0.5× 492 1.1× 223 1.0× 25 0.3× 139 1.9k
Hanmei Liu China 25 1.0k 0.9× 271 0.4× 574 1.3× 97 0.4× 27 0.3× 65 1.5k
Debasis Chattopadhyay India 30 2.3k 2.0× 226 0.3× 943 2.1× 82 0.4× 33 0.4× 74 2.8k
Sarika Jaiswal India 18 759 0.6× 251 0.4× 288 0.7× 83 0.4× 20 0.2× 124 1.1k
Tao Guo China 18 1.2k 1.0× 544 0.8× 675 1.5× 66 0.3× 15 0.2× 37 1.7k
Naoki Kishimoto Japan 23 1.5k 1.3× 226 0.3× 879 2.0× 35 0.2× 58 0.7× 68 2.1k
Jie Qiu China 24 1.2k 1.1× 442 0.6× 769 1.7× 52 0.2× 11 0.1× 66 1.8k
Masaharu Kuroda Japan 24 1.4k 1.2× 233 0.3× 830 1.9× 60 0.3× 17 0.2× 61 2.0k
Mariolina Gullì Italy 22 1.1k 0.9× 212 0.3× 786 1.8× 126 0.6× 11 0.1× 52 1.7k

Countries citing papers authored by Qingchun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Qingchun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingchun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Qingchun Pan. A scholar is included among the top collaborators of Qingchun Pan 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 Qingchun Pan. Qingchun Pan 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.
Wang, Yunyun, Dan Sun, Houmiao Wang, et al.. (2025). A variome–transcriptome–metabolome network links GABA biosynthesis to stress resilience in maize. The Plant Cell. 37(10).
2.
Pan, Qingchun, et al.. (2025). Risk factors and a nomogram model for recurrence of benign paroxysmal positional vertigo: a multicenter cross-sectional study. Frontiers in Neurology. 16. 1542090–1542090. 1 indexed citations
3.
Pan, Qingchun, Bei Li, & Kai Zou. (2025). Risk factors and nomogram model for recurrence of benign paroxysmal positional vertigo in postmenopausal women: a multicenter cross-sectional study. Frontiers in Neurology. 16. 1595887–1595887. 1 indexed citations
4.
He, Kunhui, Yakun Zhang, Wei Ren, et al.. (2023). QTL mapping and transcriptome analysis identify candidate genes influencing water–nitrogen interaction in maize. The Crop Journal. 11(6). 1872–1883. 5 indexed citations
5.
Liang, Jiaxing, Wei Ren, Xiaoyang Liu, et al.. (2023). Improving Nitrogen Status Diagnosis and Recommendation of Maize Using UAV Remote Sensing Data. Agronomy. 13(8). 1994–1994. 9 indexed citations
6.
Pan, Qingchun, et al.. (2023). Co-circulation and co-infection of COVID-19 and influenza in China: challenges and implications. Frontiers in Public Health. 11. 1295877–1295877. 6 indexed citations
7.
Liu, Zhigang, Pengcheng Li, Wei Ren, et al.. (2023). Hybrid performance evaluation and genome-wide association analysis of root system architecture in a maize association population. Theoretical and Applied Genetics. 136(9). 194–194. 4 indexed citations
8.
Ren, Wei, Longfei Zhao, Jiaxing Liang, et al.. (2022). Genome-wide dissection of changes in maize root system architecture during modern breeding. Nature Plants. 8(12). 1408–1422. 76 indexed citations
9.
Wu, Bin, et al.. (2022). Genome-Wide Association Study of Root System Architecture in Maize. Genes. 13(2). 181–181. 18 indexed citations
10.
Ren, Wei, Xiaoping Gong, Kun Li, et al.. (2020). Recombination Pattern Characterization via Simulation Using Different Maize Populations. International Journal of Molecular Sciences. 21(6). 2222–2222. 3 indexed citations
11.
Pan, Qingchun, Feng Guo, Yong Gong, et al.. (2019). Trait ontology analysis based on association mapping studies bridges the gap between crop genomics and Phenomics. BMC Genomics. 20(1). 443–443. 10 indexed citations
12.
Pan, Qingchun, et al.. (2019). A Case Study: Effects of Foot Reflexotherapy in an Infant with Sensorineural Hearing Loss. Journal of Acupuncture and Meridian Studies. 13(2). 61–65. 1 indexed citations
13.
Zhang, Hongwei, Xi Wang, Qingchun Pan, et al.. (2018). QTG-Seq Accelerates QTL Fine Mapping through QTL Partitioning and Whole-Genome Sequencing of Bulked Segregant Samples. Molecular Plant. 12(3). 426–437. 78 indexed citations
14.
Raihan, Mohammad Sharif, Jie Liu, Juan Huang, et al.. (2016). Multi-environment QTL analysis of grain morphology traits and fine mapping of a kernel-width QTL in Zheng58 × SK maize population. Theoretical and Applied Genetics. 129(8). 1465–1477. 65 indexed citations
15.
Hu, Weiwei, Yuwu Zhao, Qingchun Pan, et al.. (2014). Clinical analysis of 26 cases with cryptococcal meningitis. SHILAP Revista de lepidopterología.
16.
Guo, Tingting, Ning Yang, Hao Tong, et al.. (2014). Genetic basis of grain yield heterosis in an “immortalized F2” maize population. Theoretical and Applied Genetics. 127(10). 2149–2158. 64 indexed citations
17.
Ali, Farhan, Kashif Rafiq Zahid, Farooq Shah, et al.. (2013). Heterosis and early generation testing is a pivotal method for production of hybrid. Australian Journal of Crop Science. 7(11). 1728–1736. 3 indexed citations
18.
Ali, Farhan, et al.. (2013). Evidence of Multiple Disease Resistance (MDR) and Implication of Meta-Analysis in Marker Assisted Selection. PLoS ONE. 8(7). e68150–e68150. 24 indexed citations
19.
Yu, Yongsheng, et al.. (2012). Inhibition of Csn3 expression induces growth arrest and apoptosis of hepatocellular carcinoma cells. Cancer Chemotherapy and Pharmacology. 69(5). 1173–1180. 25 indexed citations
20.
Pan, Qingchun, Farhan Ali, Xiaohong Yang, Jiansheng Li, & Jianbing Yan. (2012). Exploring the Genetic Characteristics of Two Recombinant Inbred Line Populations via High-Density SNP Markers in Maize. PLoS ONE. 7(12). e52777–e52777. 27 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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