Feifei Ren

1.2k citations
27 papers · 698 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Immune cells in cancer

Papers in

Feifei Ren

27 papers receiving 694 citations

Peers

Feifei Ren
Comparison fields: 5 of 81
  • Cancer Research 191
  • Immunology 205
  • Genetics 87
  • Oncology 202
  • Endocrinology, Diabetes and Metabolism 77
Replace Tao Ma with:
Tao Ma China
Parker L. Sulkowski United States
Songtao Lai China
Teresa Gagliano Italy
Jan Anderl Germany
Izhar Singh Batth United States
Zhenqing Ye United States
Xiao Sun China
Xinyun Xu China
Chen Zong China
Feifei Ren relative to Tao Ma China Tao Ma's profile →
Citations per field
00.5×2.9×
Tao Ma · 1×
Citations per year

Countries citing papers authored by Feifei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021136
2 201279
3 201874
4 201858
5 201856
6 202051
7 202149
8 202028
9 202324
10 201920
11 201419
12 202215
13 202213
14 202412
15 202012
16 20189
17 20247
18 20237
19 20215
20 20195

About Feifei Ren

Feifei Ren is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Surgery, having authored 27 papers that have together received 698 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (3 papers), Glioma Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Immune cells in cancer (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Cancer Research (191 citations), Immunology (205 citations), Genetics (87 citations), Oncology (202 citations) and Endocrinology, Diabetes and Metabolism (77 citations). Feifei Ren has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yi Zhang, Qitai Zhao, Pengyuan Zheng, Yamin Qiao, Yang Mi, Youcai Tang, Chaoqi Zhang, Shasha Liu, Guohui Qin and Dan Wang. Their work appears in journals such as Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics, Cancer Science, Biological Procedures Online, Acta Pharmaceutica Sinica B and Matter and Radiation at Extremes.

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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