Degui Wang

869 citations
18 papers · 667 · h-index 12

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Ubiquitin and proteasome pathways 3
    • Epigenetics and DNA Methylation 3
    • Protein Degradation and Inhibitors 2
    • Angiogenesis and VEGF in Cancer 2
    • Histone Deacetylase Inhibitors Research 2
    • Autophagy in Disease and Therapy 3

Degui Wang

17 papers receiving 652 citations

Peers

Degui Wang
Comparison fields: 5 of 89
  • Cancer Research 175
  • Genetics 107
  • Oncology 150
  • Molecular Biology 373
  • Immunology and Allergy 26
Replace Eva–Maria Duerr with:
Eva–Maria Duerr United States
Silvia Truffa Italy
E‐Jean Tan Sweden
Mauro Pluderi Italy
Sílvia Coma United States
Shengping Yu China
Shannon Matheny United States
Christine Delfino France
Ameer L. Elaimy United States
Degui Wang relative to Eva–Maria Duerr United States Eva–Maria Duerr's profile →
Citations per field
00.5×2×4×6.4×
Eva–Maria Duerr · 1×
Citations per year

Countries citing papers authored by Degui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Degui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2003287
2 2003132
3 201447
4 201331
5 201927
6 201723
7 201919
8 202318
9 202317
10 202315
11 202214
12 200912
13 202310
14 20236
15 20246
16 20132
17 20241
18 20250

About Degui Wang

Degui Wang is a scholar working on Molecular Biology, Epidemiology, Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 18 papers that have together received 667 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (3 papers), Peptidase Inhibition and Analysis (3 papers), Autophagy in Disease and Therapy (3 papers), Protein Degradation and Inhibitors (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Urologic and reproductive health conditions (1 paper). The work is most often cited by research in Cancer Research (175 citations), Genetics (107 citations), Oncology (150 citations), Molecular Biology (373 citations) and Immunology and Allergy (26 citations). Degui Wang has collaborated with scholars based in China and United States. Frequent co-authors include Shi‐Yuan Cheng, Bo Hu, Webster K. Cavenee, Ping Guo, Li Xu, Motoo Nagane, Ryo Nishikawa, Kari Alitalo, Rong Shen and Quan Fang. Their work appears in journals such as Cell Cycle, Frontiers in Pharmacology, The Spine Journal, Biochemical Pharmacology and Journal of Oral Pathology and Medicine.

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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