Jinjin Ma

1.0k citations
39 papers · 823 · h-index 17

Impact in

Papers in

Jinjin Ma

38 papers receiving 815 citations

Peers

Jinjin Ma
Comparison fields: 5 of 90
  • Developmental Neuroscience 61
  • Electronic, Optical and Magnetic Materials 144
  • Molecular Medicine 34
  • Cellular and Molecular Neuroscience 109
  • Biomedical Engineering 255
Replace Miao Xiao with:
Miao Xiao China
Min Hao China
Tiantian Zheng China
Weilin Lin China
Junbin Gao China
Doriana Debellis Italy
Shreyas Shah United States
Kun Guo China
Ryan G. Wylie Canada
Shaohui Zheng China
Jinjin Ma relative to Miao Xiao China Miao Xiao's profile →
Citations per field
00.5×3.1×
Miao Xiao · 1×
Citations per year

Countries citing papers authored by Jinjin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jinjin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jinjin 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 Jinjin Ma Line = papers co-authored together Jinjin Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021126
2 202395
3 202365
4 202158
5 201949
6 202241
7 202037
8 201936
9 201932
10 201926
11 202221
12 202120
13 201919
14 202218
15 202018
16 201917
17 202016
18 201914
19 201911
20 202511

About Jinjin Ma

Jinjin Ma is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 823 indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (9 papers), Nerve injury and regeneration (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Advanced battery technologies research (7 papers), Graphene and Nanomaterials Applications (6 papers), Nanoplatforms for cancer theranostics (6 papers), Bone Tissue Engineering Materials (5 papers) and Axon Guidance and Neuronal Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (61 citations), Electronic, Optical and Magnetic Materials (144 citations), Molecular Medicine (34 citations), Cellular and Molecular Neuroscience (109 citations) and Biomedical Engineering (255 citations). Jinjin Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feng Zhang, Bin Li, Fengxuan Han, Jiaying Li, Saijilafu, Yaoyao Li, Hua Yao, Qingchen Meng, Junli Zhang and Jun Pan. Their work appears in journals such as Advanced Functional Materials, Journal of Cellular Physiology, Applied Surface Science, Advanced Science and Advanced Healthcare Materials.

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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