Feifei Ge

499 citations
33 papers · 349 indexed · h-index 11

Impact in

Papers in

Feifei Ge

32 papers receiving 346 citations

Peers

Feifei Ge
Comparison fields: 5 of 57
  • Biological Psychiatry 37
  • Cellular and Molecular Neuroscience 211
  • Behavioral Neuroscience 33
  • Cognitive Neuroscience 115
  • Endocrine and Autonomic Systems 32
Replace Laís S. Rodrigues with:
Laís S. Rodrigues Brazil
Carolina Piletti Chatain Germany
Mohammad Nasehi Iran
Miaojun Lai China
Aleksandra Wisłowska Poland
Salvatore Magara Sweden
Susie Turkson United States
Amy DiCamillo United States
Małgorzata Zienowicz Poland
Jens Stepan Germany
Feifei Ge relative to Laís S. Rodrigues Brazil Laís S. Rodrigues's profile →
Citations per field
00.5×1.5×2.3×
Laís S. Rodrigues · 1×
Citations per year

Countries citing papers authored by Feifei Ge

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201736
2 202233
3 201230
4 201726
5 201924
6 201920
7 202018
8 201518
9 202214
10 201513
11 202010
12 202110
13 20239
14 20219
15 20158
16 20227
17 20246
18 20236
19 20236
20 20235

About Feifei Ge

Feifei Ge is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Biological Psychiatry and Pediatrics, Perinatology and Child Health, having authored 33 papers that have together received 349 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Neurotransmitter Receptor Influence on Behavior (15 papers), Memory and Neural Mechanisms (11 papers), Tryptophan and brain disorders (6 papers), Receptor Mechanisms and Signaling (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Sleep and Wakefulness Research (4 papers) and Prenatal Substance Exposure Effects (2 papers). The work is most often cited by research in Biological Psychiatry (37 citations), Cellular and Molecular Neuroscience (211 citations), Behavioral Neuroscience (33 citations), Cognitive Neuroscience (115 citations) and Endocrine and Autonomic Systems (32 citations). Feifei Ge has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Cai‐Lian Cui, Xiaowei Guan, Haolin Zhang, Yijing Li, Xiaowei Sun, Na Wang, Xing Xu, Yu Fan, Yan Liu and Fang Shen. Their work appears in journals such as Addiction Biology, Journal of Neuroscience, Theranostics, Neuropsychopharmacology and Neuropharmacology.

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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