Xiuling Ma

1.2k citations
32 papers · 904 · h-index 16

Impact in

Papers in

Xiuling Ma

30 papers receiving 880 citations

Peers

Xiuling Ma
Comparison fields: 5 of 112
  • Microbiology 65
  • Behavioral Neuroscience 36
  • Physiology 36
  • Plant Science 254
  • Complementary and alternative medicine 44
Replace Xiaowen Li with:
Xiaowen Li China
Xu Zhou China
Jean‐Pol Frippiat France
Susan S. Newman United States
Yafang Hu China
Chunjin Li China
Suresh K. Mendu United States
Jing‐Fei Huang China
L. Mullen United Kingdom
Xiuling Ma relative to Xiaowen Li China Xiaowen Li's profile →
Citations per field
00.5×4.4×
Xiaowen Li · 1×
Citations per year

Countries citing papers authored by Xiuling Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiuling Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiuling Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiuling Ma Line = papers co-authored together Xiuling Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021110
2 201997
3 200784
4 201781
5 200174
6 200463
7 201057
8 201347
9 200438
10 202231
11 201531
12 201429
13 202128
14 200328
15 201222
16 200216
17 200913
18 202212
19 200111
20 20166

About Xiuling Ma

Xiuling Ma is a scholar working on Molecular Biology, Computational Mechanics, Computational Theory and Mathematics, Plant Science and Mechanics of Materials, having authored 32 papers that have together received 904 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (7 papers), Advanced Mathematical Modeling in Engineering (5 papers), Numerical methods in engineering (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Plant Stress Responses and Tolerance (3 papers), Genomics and Phylogenetic Studies (3 papers), Plant nutrient uptake and metabolism (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Microbiology (65 citations), Behavioral Neuroscience (36 citations), Physiology (36 citations), Plant Science (254 citations) and Complementary and alternative medicine (44 citations). Xiuling Ma has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hui Zhang, Aihui Zhou, Changle Ma, Yanxiu Zhao, Wei Liu, Qiming Sun, Weihua Gong, Baoshan Wang, Xiawei Cheng and She Chen. Their work appears in journals such as Molecular Cell, Journal of the American College of Cardiology, Plant Molecular Biology, International Journal of Cardiology and Neurorehabilitation and neural repair.

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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