Yawei Wu

549 citations
7 papers · 386 · 1 hit paper · h-index 5

Impact in

  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
    • Endometrial and Cervical Cancer Treatments

Papers in

    • Glycosylation and Glycoproteins Research 1
    • Plant Gene Expression Analysis 1
    • Inflammasome and immune disorders 1
    • Toxin Mechanisms and Immunotoxins 1
    • interferon and immune responses 1

Yawei Wu

6 papers receiving 382 citations

Yawei Wu's Hit Papers

Prognostic Value of Preoperative Systemic Immune-Inflammation Index in Patients with Cervical Cancer 2019 · 307 citations
3070+2+4Years since publication100200300

Peers

Yawei Wu
Comparison fields: 5 of 54
  • Oncology 198
  • Obstetrics and Gynecology 30
  • Biological Psychiatry 4
  • Immunology 35
  • Internal Medicine 5
Replace J Sarveswaran with:
J Sarveswaran United Kingdom
Emel Ebru Pala Türkiye
Kentaro Masuhiro Japan
Akif Arslan Türkiye
Fumiaki Kiyomi Japan
Tae Hun Kim South Korea
Nilima Rajpal Kundnani Romania
Sabrina Mellino Italy
Yawei Wu relative to J Sarveswaran United Kingdom J Sarveswaran's profile →
Citations per field
00.5×5.2×
J Sarveswaran · 1×
Citations per year

Countries citing papers authored by Yawei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yawei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Yawei Wu, 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 Yawei Wu Line = papers co-authored together Yawei Wu links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Prognostic Value of Preoperative Systemic Immune-Inflammation Index in Patients with Cervical Cancer
Hit paper breakdown →
2019307
2 202036
3 202120
4 202016
5 20246
6 20241
7 20250

About Yawei Wu

Yawei Wu is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 386 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Glycosylation and Glycoproteins Research (1 paper), Ferroptosis and cancer prognosis (1 paper), Plant Gene Expression Analysis (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Inflammasome and immune disorders (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Oncology (198 citations), Obstetrics and Gynecology (30 citations), Biological Psychiatry (4 citations), Immunology (35 citations) and Internal Medicine (5 citations). Yawei Wu has collaborated with scholars based in China, Italy and South Korea. Frequent co-authors include Qin Liu, Lixia Zhu, Yan Zhang, Huaping Huang, Xiaojuan Lu, Li Liu, Liang Li, Yunfeng Sun, Yingping Jiang and Hao Liu. Their work appears in journals such as Clinica Chimica Acta, Heliyon, Plant Physiology and Biochemistry, Experimental Gerontology and Scientific Reports.

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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