Hongfei Ge

5.2k citations
82 papers · 4.0k · h-index 37

Impact in

Papers in

    • Kruppel-like factors research 13
    • Fibroblast Growth Factor Research 10
    • Epigenetics and DNA Methylation 9
    • Receptor Mechanisms and Signaling 7
    • Intracerebral and Subarachnoid Hemorrhage Research 20
    • Neurosurgical Procedures and Complications 7

Hongfei Ge

82 papers receiving 3.9k citations

Peers

Hongfei Ge
Comparison fields: 5 of 133
  • Endocrine and Autonomic Systems 307
  • Developmental Neuroscience 169
  • Neurology 316
  • Molecular Biology 2.0k
  • Endocrinology, Diabetes and Metabolism 448
Replace Chao‐Yu Miao with:
Chao‐Yu Miao China
Haichang Wang China
Rong Wu China
Lin Yan China
Azza B. El‐Remessy United States
Hideto Kojima Japan
Ji Li United States
Yoko Ozawa Japan
Xiao Han China
Luigi Sironi Italy
Hongfei Ge relative to Chao‐Yu Miao China Chao‐Yu Miao's profile →
Citations per field
00.5×1.6×
Chao‐Yu Miao · 1×
Citations per year

Countries citing papers authored by Hongfei Ge

Since Specialization
Citations

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

Fields of papers citing papers by Hongfei Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008390
2 2009289
3 2009151
4 2002144
5 2005133
6 2008126
7 2004122
8 2021121
9 2007118
10 2019110
11 2017108
12 2004105
13 2004102
14 200896
15 200592
16 201090
17 200987
18 200983
19 202176
20 200975

About Hongfei Ge

Hongfei Ge is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Surgery, having authored 82 papers that have together received 4.0k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (20 papers), Neurogenesis and neuroplasticity mechanisms (13 papers), Kruppel-like factors research (13 papers), Fibroblast Growth Factor Research (10 papers), Epigenetics and DNA Methylation (9 papers), Receptor Mechanisms and Signaling (7 papers), Neurosurgical Procedures and Complications (7 papers) and Nerve injury and regeneration (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (307 citations), Developmental Neuroscience (169 citations), Neurology (316 citations), Molecular Biology (2.0k citations) and Endocrinology, Diabetes and Metabolism (448 citations). Hongfei Ge has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Yang Li, Hua Feng, Jennifer Weiszmann, Hui Tian, Hélène Baribault, Xinxin Yu, Jinlong Chen, Richard Lindberg, Guoqing Yang and Jamila Gupte. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Molecular Neurobiology, Journal of Lipid Research and Oxidative Medicine and Cellular Longevity.

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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