Yan Ge

4.4k citations
159 papers · 3.2k indexed · h-index 32

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Immunotherapy and Immune Responses 29
    • Immune Cell Function and Interaction 17
    • T-cell and B-cell Immunology 15
    • Cancer Immunotherapy and Biomarkers 11
    • CAR-T cell therapy research 10

Yan Ge

149 papers receiving 3.1k citations

Peers

Yan Ge
Comparison fields: 5 of 167
  • Immunology 826
  • Cancer Research 388
  • Oncology 651
  • Parasitology 131
  • Molecular Biology 1.0k
Replace Bernhard Maier with:
Bernhard Maier United States
Donghai Wang China
Xiaojun Wang China
Vikas Goel India
Pablo Valenzuela Chile
Mark Harris United Kingdom
Yufeng Cheng China
Inge Jonassen Norway
Takashi Sekiya Japan
Hubert Rehrauer Switzerland
Yan Ge relative to Bernhard Maier United States Bernhard Maier's profile →
Citations per field
00.5×3.3×
Bernhard Maier · 1×
Citations per year

Countries citing papers authored by Yan Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020146
2 2018134
3 2018121
4 2017105
5 2012102
6 202286
7 201372
8 202171
9 201971
10 201866
11 200464
12 200659
13 202059
14 201855
15 201655
16 201455
17 201953
18 201951
19 201951
20 200848

About Yan Ge

Yan Ge is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Genetics, having authored 159 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (29 papers), Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (15 papers), Cancer Immunotherapy and Biomarkers (11 papers), RNA Interference and Gene Delivery (11 papers), CAR-T cell therapy research (10 papers), Climate variability and models (9 papers) and Virus-based gene therapy research (9 papers). The work is most often cited by research in Immunology (826 citations), Cancer Research (388 citations), Oncology (651 citations), Parasitology (131 citations) and Molecular Biology (1.0k citations). Yan Ge has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Gavin Gong, Songguang Ju, Ximing Cai, Yasuko Rikihisa, Xueguang Zhang, Charles Rougé, Baoshan Ma, Fengju Song, Songwen Ju and Fanyu Meng. Their work appears in journals such as Scientific Reports, Journal of Climate, Cell Cycle, Diagnostic Pathology and BioScience Trends.

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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