Ni Ma

641 total citations
37 papers, 473 citations indexed

About

Ni Ma is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ni Ma has authored 37 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 22 papers in Molecular Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ni Ma's work include Nitrogen and Sulfur Effects on Brassica (14 papers), Plant Stress Responses and Tolerance (5 papers) and Plant nutrient uptake and metabolism (5 papers). Ni Ma is often cited by papers focused on Nitrogen and Sulfur Effects on Brassica (14 papers), Plant Stress Responses and Tolerance (5 papers) and Plant nutrient uptake and metabolism (5 papers). Ni Ma collaborates with scholars based in China, United States and Pakistan. Ni Ma's co-authors include Chunlei Zhang, Junlan Xiong, Lin Wan, Chao Hu, Qiong Hu, Jun Li, Zaiyun Li, Muhammad Naeem, Chunlei Zhang and Chang Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ni Ma

37 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ni Ma China 11 350 138 95 45 33 37 473
Cheng‐Wei Qiu China 15 588 1.7× 148 1.1× 39 0.4× 20 0.4× 27 0.8× 35 690
Tehmeena Mukhtar Pakistan 8 569 1.6× 134 1.0× 33 0.3× 40 0.9× 28 0.8× 9 679
Sankalp Misra India 11 426 1.2× 127 0.9× 27 0.3× 19 0.4× 17 0.5× 31 503
Jarosław Tyburski Poland 16 525 1.5× 220 1.6× 29 0.3× 29 0.6× 15 0.5× 37 658
Tasnim Farha Bhuiyan Bangladesh 4 457 1.3× 111 0.8× 23 0.2× 16 0.4× 21 0.6× 5 528
Nasr Ullah Pakistan 5 482 1.4× 124 0.9× 20 0.2× 17 0.4× 27 0.8× 5 541
Muhammad Faiq Indonesia 4 455 1.3× 121 0.9× 20 0.2× 17 0.4× 24 0.7× 15 563
Kriti Gupta India 7 468 1.3× 100 0.7× 33 0.3× 11 0.2× 45 1.4× 14 580
Shuqi Niu China 11 446 1.3× 117 0.8× 37 0.4× 14 0.3× 12 0.4× 29 563
Anum Khursheed Pakistan 5 432 1.2× 132 1.0× 23 0.2× 18 0.4× 40 1.2× 11 545

Countries citing papers authored by Ni Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ni Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ni Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ni Ma. A scholar is included among the top collaborators of Ni Ma 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 Ni Ma. Ni Ma 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, Chufeng, Jian Zhang, Jie Kuai, et al.. (2025). Unlock genotype-environment-management interaction via field phenotypic insights for multi-scale prediction of winter rapeseed flowering in the Yangtze River Basin. Agricultural and Forest Meteorology. 374. 110788–110788. 1 indexed citations
2.
Li, Yuxi, et al.. (2025). Differential effects of non-structural carbohydrate allocation and C:N:P:K stoichiometry of rapeseed roots in diverse soil environments. Industrial Crops and Products. 225. 120542–120542. 1 indexed citations
3.
Zhang, Yuexia, et al.. (2025). Unveiling root growth dynamics and rhizosphere microbial responses to waterlogging stress in rapeseed seedlings. Plant Physiology and Biochemistry. 228. 110269–110269. 1 indexed citations
4.
Wang, Chufeng, Jing Xie, Ni Ma, et al.. (2025). Integrating UAV and satellite LAI data into a modified DSSAT-rapeseed model to improve yield predictions. Field Crops Research. 327. 109883–109883. 1 indexed citations
5.
Duan, Bo, et al.. (2024). Analysis of canopy light utilization efficiency in high-yielding rapeseed varieties. Scientific Reports. 14(1). 31243–31243. 3 indexed citations
7.
Wang, Chufeng, Shijie Xu, Chenghai Yang, et al.. (2024). Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images. European Journal of Agronomy. 155. 127104–127104. 8 indexed citations
9.
Wang, Chufeng, Chenghai Yang, Jian Zhang, et al.. (2023). A PROSAIL model with a vegetation index lookup table optimized with in-situ statistics for rapeseed leaf area index estimation using diverse unmanned aerial vehicle sensors in the Yangtze River Basin. Computers and Electronics in Agriculture. 215. 108418–108418. 7 indexed citations
10.
Cao, Yifan, et al.. (2023). Genome-Wide Identification and Analysis of the Plant Cysteine Oxidase (PCO) Gene Family in Brassica napus and Its Role in Abiotic Stress Response. International Journal of Molecular Sciences. 24(14). 11242–11242. 2 indexed citations
11.
Cui, Xiaoli, et al.. (2023). Silencing PKM2 Attenuates Brain Injury Induced by Status Epilepticus by Inhibiting the AKT/mTOR Pathway and the NLRP3 Inflammasome. Neurochemical Research. 49(1). 212–221. 4 indexed citations
12.
Chen, Chang, et al.. (2022). The optimisation of rapeseed yield and growth duration through adaptive crop management in climate change: evidence from China. Italian Journal of Agronomy. 17(4). 2104–2104. 6 indexed citations
13.
Wan, Lin, Junlan Xiong, Zhehui Liu, et al.. (2017). Physiological mechanism of strigolactones on alleviating waterlogging stress in rapeseed (Brassica napus L.). Zhongguo youliao zuowu xuebao. 39(4). 467. 1 indexed citations
14.
Ma, Ni, Chao Hu, Lin Wan, et al.. (2017). Strigolactones Improve Plant Growth, Photosynthesis, and Alleviate Oxidative Stress under Salinity in Rapeseed (Brassica napus L.) by Regulating Gene Expression. Frontiers in Plant Science. 8. 1671–1671. 162 indexed citations
15.
Dai, Lulu, Chunlei Zhang, Zhehui Liu, et al.. (2016). Physiological response of photosynthetic apparatus in rapeseed to drought. Zhongguo youliao zuowu xuebao. 38(6). 795. 1 indexed citations
16.
Li, Jun, Muhammad Naeem, Xiuping Wang, et al.. (2015). Nano-TiO2 Is Not Phytotoxic As Revealed by the Oilseed Rape Growth and Photosynthetic Apparatus Ultra-Structural Response. PLoS ONE. 10(12). e0143885–e0143885. 41 indexed citations
17.
Li, Jun, et al.. (2014). Effects of NaHSO3 on photosynthetic characteristics and nitrogen metabolism of rapeseed seedlings. Zhongguo youliao zuowu xuebao. 36(6). 761. 1 indexed citations
18.
Ling, Li, Jun Li, Chunlei Zhang, et al.. (2012). Effects of exogenous ABA and BR on waterlogging resistance of juvenile rapeseed. Zhongguo youliao zuowu xuebao. 34(5). 489–495. 1 indexed citations
19.
Zhang, Chunlei, et al.. (2012). Effects of ABA on photosynthetic characteristics of pods and yield of Brassica napus.. Agricultural Science and Technology Hunan. 13(4). 760–903. 2 indexed citations
20.
Ma, Ni, Zaiyun Li, Joyce A. Cartagena, & Kiichi Fukui. (2006). GISH and AFLP analyses of novel Brassica napus lines derived from one hybrid between B. napus and Orychophragmus violaceus. Plant Cell Reports. 25(10). 1089–1093. 16 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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