Wenjun Cheng

3.4k citations
70 papers · 2.5k · 1 hit paper · h-index 22

Impact in

Papers in

Wenjun Cheng

66 papers receiving 2.4k citations

Wenjun Cheng's Hit Papers

GPX4: The hub of lipid oxidation, ferroptosis, disease and treatment 2023 · 396 citations
3960+1+2Years since publication100200300

Peers

Wenjun Cheng
Comparison fields: 5 of 125
  • Cancer Research 569
  • Reproductive Medicine 254
  • Obstetrics and Gynecology 120
  • Molecular Biology 1.0k
  • Oncology 329
Replace Thai‐Yen Ling with:
Thai‐Yen Ling Taiwan
Ying Zhu China
Cinzia Zucchini Italy
Jean Lu Taiwan
Hiroshi Kajiwara Japan
Yunmei Wang United States
Yixiang Wang China
Kelly A. Whelan United States
Darrell H. Carney United States
Wenjun Cheng relative to Thai‐Yen Ling Taiwan Thai‐Yen Ling's profile →
Citations per field
00.5×2×2.9×
Thai‐Yen Ling · 1×
Citations per year

Countries citing papers authored by Wenjun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GPX4: The hub of lipid oxidation, ferroptosis, disease and treatment
Hit paper breakdown →
2023396
2 2005228
3 2004226
4 2006150
5 2004127
6 2010109
7 2006108
8 202293
9 201679
10 201970
11 201468
12 201853
13 201353
14 201935
15 201333
16 201832
17 200532
18 199631
19 201829
20 201424

About Wenjun Cheng

Wenjun Cheng is a scholar working on Cancer Research, Reproductive Medicine, Molecular Biology, Parasitology and Oncology, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), Circular RNAs in diseases (9 papers), MicroRNA in disease regulation (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Ferroptosis and cancer prognosis (6 papers), RNA modifications and cancer (4 papers), Parasites and Host Interactions (4 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Cancer Research (569 citations), Reproductive Medicine (254 citations), Obstetrics and Gynecology (120 citations), Molecular Biology (1.0k citations) and Oncology (329 citations). Wenjun Cheng has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Honami Naora, Yicong Wan, Jinsong Liu, Lin Zhang, Yi Liu, Yi Jiang, Daniel Gustavo Rosen, Denise J. Montell, Yi Jiang and Jinhui Liu. Their work appears in journals such as Annals of Translational Medicine, Cancer Research, DNA and Cell Biology, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer and Cancer Cell International.

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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