Fengjun Cao

833 citations
23 papers · 628 · h-index 16

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 2
    • Peroxisome Proliferator-Activated Receptors 2
    • Single-cell and spatial transcriptomics 1
    • Cancer, Lipids, and Metabolism 2
    • Cancer Genomics and Diagnostics 1

Fengjun Cao

23 papers receiving 617 citations

Peers

Fengjun Cao
Comparison fields: 5 of 89
  • Cancer Research 116
  • Toxicology 25
  • Molecular Biology 339
  • Pharmacology 35
  • Clinical Biochemistry 27
Replace Hsi‐Hsien Hsu with:
Hsi‐Hsien Hsu Taiwan
Ji Hye Kim South Korea
Chia‐Cheng Su Taiwan
Yong‐Zhan Zhen China
Kangdong Liu China
Gatikrushna Panigrahi United States
Lingling Si China
Da‐Yong Cao China
Elga Pezzato Italy
Fengjun Cao relative to Hsi‐Hsien Hsu Taiwan Hsi‐Hsien Hsu's profile →
Citations per field
00.5×3.5×
Hsi‐Hsien Hsu · 1×
Citations per year

Countries citing papers authored by Fengjun Cao

Since Specialization
Citations

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

Fields of papers citing papers by Fengjun Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202192
2 201559
3 201650
4 201847
5 201944
6 202239
7 201638
8 201732
9 201930
10 201730
11 202027
12 201621
13 201820
14 201819
15 202118
16 202117
17 201715
18 20228
19 20235
20 20195

About Fengjun Cao

Fengjun Cao is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pharmacology, having authored 23 papers that have together received 628 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Autophagy in Disease and Therapy (2 papers), Ferroptosis and cancer prognosis (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer Treatment and Pharmacology (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (116 citations), Toxicology (25 citations), Molecular Biology (339 citations), Pharmacology (35 citations) and Clinical Biochemistry (27 citations). Fengjun Cao has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Xuanbin Wang, Xiaojun Cai, Yibin Feng, Xiongjie Yu, Chen Li, Minglun Li, Longchao Xiang, Hongliang Li, Nian Yang and Jingxuan Zhang. Their work appears in journals such as Frontiers in Pharmacology, Oncotarget, International Journal of Molecular Sciences, Biochemical and Biophysical Research Communications and Redox Biology.

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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