Feifei Gu

535 citations
30 papers · 408 · h-index 12

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Cancer Immunotherapy and Biomarkers

Papers in

Feifei Gu

29 papers receiving 402 citations

Peers

Feifei Gu
Comparison fields: 5 of 71
  • Cancer Research 78
  • Oncology 130
  • Immunology 79
  • Pulmonary and Respiratory Medicine 95
  • Pharmacology 17
Replace Qingang Hu with:
Qingang Hu China
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Kimihiro Ito Japan
Amy Dhirapong United States
Taija M. af Hällström Finland
Qingfeng Huang China
Hongqiao Cai China
Kazukuni Hayashi United States
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Feifei Gu relative to Qingang Hu China Qingang Hu's profile →
Citations per field
00.5×2×3.4×
Qingang Hu · 1×
Citations per year

Countries citing papers authored by Feifei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 201736
3 201631
4 201730
5
Relationship between plasma cathepsin S and cystatin C levels and coronary plaque morphology of mild to moderate lesions: an in vivo study using intravascular ultrasound.
200926
6
Icariside II promotes osteogenic differentiation of bone marrow stromal cells in beagle canine.
201524
7 201919
8 202018
9 202017
10 202016
11 201715
12 201612
13 202112
14 202110
15 20199
16 20198
17 20227
18 20226
19 20175
20 20234

About Feifei Gu

Feifei Gu is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Pharmacology, having authored 30 papers that have together received 408 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Treatments and Mutations (5 papers), Immune Cell Function and Interaction (4 papers), Ferroptosis and cancer prognosis (3 papers), RNA modifications and cancer (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer-related molecular mechanisms research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Cancer Research (78 citations), Oncology (130 citations), Immunology (79 citations), Pulmonary and Respiratory Medicine (95 citations) and Pharmacology (17 citations). Feifei Gu has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Jinyan Liang, Li Liu, Kai Zhang, Yangyang Liu, Yulan Zeng, Yuanliang Huang, Xiaohua Hong, Qifan Yang, Yue Hu and Yangyang Liu. Their work appears in journals such as Journal of Hematology & Oncology, Medicine, Frontiers in Immunology, Measurement and Frontiers in Genetics.

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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