Fengfeng Cai

1.5k citations
45 papers · 1.1k · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

    • CRISPR and Genetic Engineering 4
    • DNA Repair Mechanisms 3
    • Ubiquitin and proteasome pathways 3
    • Cancer Cells and Metastasis 8

Fengfeng Cai

44 papers receiving 1.1k citations

Peers

Fengfeng Cai
Comparison fields: 5 of 104
  • Cancer Research 327
  • Oncology 258
  • Molecular Biology 555
  • Biotechnology 51
  • Toxicology 16
Replace Alessandro Arcucci with:
Alessandro Arcucci Italy
Morten Grauslund Denmark
Baoxu Pang Netherlands
Katarzyna Marta Lisowska Poland
Dashnamoorthy Ravi United States
Zhiping Ruan China
Gaurav S. Choudhary United States
Yingrui Shi China
Hongmei Zheng China
Fengfeng Cai relative to Alessandro Arcucci Italy Alessandro Arcucci's profile →
Citations per field
00.5×
Alessandro Arcucci · 1×
Citations per year

Countries citing papers authored by Fengfeng Cai

Since Specialization
Citations

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

Fields of papers citing papers by Fengfeng Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012141
2 2019119
3 202172
4 202162
5 202258
6 201649
7 201346
8 201946
9 202143
10 202241
11 202138
12 201138
13 202136
14 201728
15 201226
16 202521
17 201320
18 201418
19 201718
20 201418

About Fengfeng Cai

Fengfeng Cai is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Immunology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Cancer, Hypoxia, and Metabolism (5 papers), Immunotherapy and Immune Responses (4 papers), Cancer Genomics and Diagnostics (4 papers), CRISPR and Genetic Engineering (4 papers), Nanoplatforms for cancer theranostics (4 papers), DNA Repair Mechanisms (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (327 citations), Oncology (258 citations), Molecular Biology (555 citations), Biotechnology (51 citations) and Toxicology (16 citations). Fengfeng Cai has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Ewelina Biskup, Xiao Yan Zhong, Minghong Wang, Bei Zhang, Lu Cai, Weijie Chen, Zeinab Barekati, Xiaoyan Lin, Hongyi Zhang and Haifeng Ye. Their work appears in journals such as Tumor Biology, Frontiers in Oncology, PLoS ONE, Oncotarget and Nature Communications.

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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