Lingzhi Ding

539 total citations
21 papers, 310 citations indexed

About

Lingzhi Ding is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Developmental Neuroscience. According to data from OpenAlex, Lingzhi Ding has authored 21 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Developmental Neuroscience. Recurrent topics in Lingzhi Ding's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Molecular Sensors and Ion Detection (2 papers). Lingzhi Ding is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Molecular Sensors and Ion Detection (2 papers). Lingzhi Ding collaborates with scholars based in China, United States and Australia. Lingzhi Ding's co-authors include Zhaobo Zhang, Guohua Wang, Changjun Zheng, Yongqian Fu, Zheng‐Lin Jiang, Wenhui Chu, Shihong Chen, Deqiang Gan, Lihua Xu and Qianqian Luo and has published in prestigious journals such as Chemical Engineering Journal, Spine and International Journal of Biological Macromolecules.

In The Last Decade

Lingzhi Ding

18 papers receiving 306 citations

Peers

Lingzhi Ding
Comparison fields: 5 of 91
  • Molecular Biology 122
  • Oncology 45
  • Pathology and Forensic Medicine 34
  • Cancer Research 32
  • Materials Chemistry 30
Replace Yi Tan with:
Yi Tan China
Tianxing Chen China
Feng Zhong China
Xiaohui Xia China
Ali Niapour Iran
Chunchun Xue China
Siping Hu China
Minjeong Kwon South Korea
Nowruz Najafzadeh Iran
Yi Tan China View profile →
Citations per field, relative to Lingzhi Ding
Lingzhi Ding · 1×
Citations per year, relative to Lingzhi Ding
Lingzhi Ding · 1×

Countries citing papers authored by Lingzhi Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lingzhi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingzhi Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Lingzhi Ding. A scholar is included among the top collaborators of Lingzhi Ding 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 Lingzhi Ding. Lingzhi Ding 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
# Work Indexed citations
1 0
2 0
3 12
4 37
5 9
6 24
7 0
8 7
9 5
10 16
11 19
12 5
13 5
14 8
15 22
16 46
17 14
18 17
19 51
20 9

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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