Shujun Cheng
- Molecular Biology top 10%
- Cancer Research top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Immunology
- Topics
- RNA modifications and cancer (26 papers)Cancer Immunotherapy and Biomarkers (11 papers)Ferroptosis and cancer prognosis (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyPLoS ONE
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shujun Cheng
78 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.1k
- Cancer Research 651
- Oncology 489
- Pulmonary and Respiratory Medicine 294
- Immunology 186
Countries citing papers authored by Shujun Cheng
This map shows the geographic impact of Shujun 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 Shujun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shujun Cheng more than expected).
Fields of papers citing papers by Shujun Cheng
This network shows the impact of papers produced by Shujun 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 Shujun Cheng. The network helps show where Shujun Cheng may publish in the future.
Co-authorship network of co-authors of Shujun Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Shujun Cheng. A scholar is included among the top collaborators of Shujun Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shujun Cheng. Shujun Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 24 | |
| 6 | The Combination of Plasma Fibrinogen Concentration and Neutrophil Lymphocyte Ratio (F-NLR) as a Prognostic Factor of Epithelial Ovarian Cancer | 1 |
| 7 | 24 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | Construction of Eukaryotic Expression Vector of Rap2b and Its Effects on Pathway of NIH3T3 Cells | 1 |
| 13 | 49 | |
| 14 | 19 | |
| 15 | Fhit protein expression in lung cancer studied by high-throughput tissue microarray. | 3 |
| 16 | 74 | |
| 17 | 23 | |
| 18 | Research on the committed differentiation of embryonic stem cells into epidermal-like stem cells induced in vitro | 0 |
| 19 | [Loss of heterozygosity of tumor suppressor genes at chromosome 3p in transitional cell carcinoma of urinary bladder]. | 1 |
| 20 | 25 |
About Shujun Cheng
Shujun Cheng is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 80 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (26 papers), Cancer Immunotherapy and Biomarkers (11 papers) and Ferroptosis and cancer prognosis (9 papers). The work is most often cited by research in Cancer Research (651 citations), Oncology (489 citations) and Molecular Biology (1.1k citations). Shujun Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yanning Gao, Lin Feng, Ting Xiao, Kaitai Zhang, Naijun Han, Wenbin Li, Xuebing Di, Suping Guo, Tao Jiang and Wenyue Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.
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.