Lite Ge

958 citations
35 papers · 634 · h-index 14

Impact in

Papers in

    • Mesenchymal stem cell research 11
    • Intracerebral and Subarachnoid Hemorrhage Research 4
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Neurological Disease Mechanisms and Treatments 3

Lite Ge

34 papers receiving 626 citations

Peers

Lite Ge
Comparison fields: 5 of 73
  • Developmental Neuroscience 76
  • Genetics 172
  • Cancer Research 115
  • Neurology 67
  • Neurology 70
Replace Claire Fabian with:
Claire Fabian Germany
Fanfan Chen China
Kiryo Wakabayashi Japan
Lucia Slovinská Slovakia
Carolina Batista Ariza Brazil
Ana O. Pires Portugal
Yaobing Yao China
Miriam Gubernator United Kingdom
Yuka Ikegame Japan
Hiromichi Nakabayashi Japan
Lite Ge relative to Claire Fabian Germany Claire Fabian's profile →
Citations per field
00.5×2×3.3×
Claire Fabian · 1×
Citations per year

Countries citing papers authored by Lite Ge

Since Specialization
Citations

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

Fields of papers citing papers by Lite Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021117
2 201669
3 202167
4 202341
5 202137
6 202436
7 202030
8 202129
9 202225
10 202020
11 201719
12 201518
13 202218
14 202316
15 20209
16 20149
17 20178
18 20197
19 20237
20 20227

About Lite Ge

Lite Ge is a scholar working on Genetics, Neurology, Cancer Research, Neurology and Developmental Neuroscience, having authored 35 papers that have together received 634 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (11 papers), Extracellular vesicles in disease (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Nerve injury and regeneration (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Olfactory and Sensory Function Studies (3 papers) and Neurological Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Developmental Neuroscience (76 citations), Genetics (172 citations), Cancer Research (115 citations), Neurology (67 citations) and Neurology (70 citations). Lite Ge has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Ming Lü, Da Duan, Yi Zhuo, Zhiping Hu, Ping Chen, Yan Huang, Jianyang Liu, Jialin He, Zheng Jiang and Liuwang Zeng. Their work appears in journals such as Frontiers in Immunology, Stem Cell Research & Therapy, PLoS ONE, Military Medical Research and Aging.

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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