Fengxia Gao

592 citations
17 papers · 311 · h-index 8

Impact in

    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Epigenetics and DNA Methylation 3
    • vaccines and immunoinformatics approaches 3
    • Immune Cell Function and Interaction 3

Fengxia Gao

16 papers receiving 309 citations

Peers

Fengxia Gao
Comparison fields: 5 of 73
  • Immunology 121
  • Cancer Research 59
  • Infectious Diseases 61
  • Oncology 87
  • Molecular Biology 129
Replace Iwona Kwiecień with:
Iwona Kwiecień Poland
Alpana Sharma India
Hanxi Xiao United States
Sofía Russo Uruguay
Roza Maria Barouni Italy
Eileen Frenzel Germany
Simarjot Pabla United States
Xiaochuan Hong China
Manprit Kaur Dhillon Singapore
Fengxia Gao relative to Iwona Kwiecień Poland Iwona Kwiecień's profile →
Citations per field
00.5×1.5×1.8×
Iwona Kwiecień · 1×
Citations per year

Countries citing papers authored by Fengxia Gao

Since Specialization
Citations

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

Fields of papers citing papers by Fengxia Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2019140
2 201935
3 202229
4 202126
5 201823
6 202119
7 202015
8 20217
9 20245
10
[Effect of Epithelial-to-mesenchymal Transition on Biological Activity of NK Cells in Esophageal Squamous Cell Carcinoma].
20194
11 20253
12 20241
13 20251
14 20251
15 20211
16 20151
17 20240

About Fengxia Gao

Fengxia Gao is a scholar working on Molecular Biology, Immunology, Oncology, Infectious Diseases and Epidemiology, having authored 17 papers that have together received 311 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Immune Cell Function and Interaction (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (3 papers), Autophagy in Disease and Therapy (3 papers), Cancer-related molecular mechanisms research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (121 citations), Cancer Research (59 citations), Infectious Diseases (61 citations), Oncology (87 citations) and Molecular Biology (129 citations). Fengxia Gao has collaborated with scholars based in China and United States. Frequent co-authors include Tianyang Dai, Xuemei He, Yang Long, Zhi Hu, Tao Xu, Mei Qin, Fei Han, Jian Wu, Chao Wang and Xin Deng. Their work appears in journals such as BMC Cancer, Genes & Diseases, iScience, Optical Fiber Technology and Frontiers in Immunology.

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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