Wei Shu Wang

450 citations
13 papers · 376 · h-index 7

Impact in

    • Cancer Treatment and Pharmacology
    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases
    • Hepatitis C virus research

Papers in

Wei Shu Wang

13 papers receiving 354 citations

Peers

Wei Shu Wang
Comparison fields: 5 of 49
  • Oncology 172
  • Hepatology 47
  • Epidemiology 124
  • Pathology and Forensic Medicine 49
  • Hematology 24
Replace Jérémy Sandrini with:
Jérémy Sandrini France
Ariane Laparra France
Hind Bennani France
Marjan Rahsaz Iran
Nikolaos J. Tsagarakis Greece
Jean‐Paul Joly France
Takayo Suzuki Japan
Herve Vallerand France
Elisabeth Hofbauer Austria
Chang‐Ming Jan Taiwan
Wei Shu Wang relative to Jérémy Sandrini France Jérémy Sandrini's profile →
Citations per field
00.5×1.5×1.8×
Jérémy Sandrini · 1×
Citations per year

Countries citing papers authored by Wei Shu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Shu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Wei Shu 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 Wei Shu Wang Line = papers co-authored together Wei Shu Wang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200897
2 201164
3 200756
4
CA19-9 as the most significant prognostic indicator of metastatic colorectal cancer.
200254
5 199735
6 200626
7 199715
8
Signet-ring cell carcinoma of the rectum with tonsillar metastasis: a case report.
19967
9 20117
10
Non-small cell lung cancer with testicular metastasis: a case report.
19965
11 19975
12 20103
13
High-dose cytarabine and mitoxantrone as salvage therapy for refractory non-Hodgkin's lymphoma.
19962

About Wei Shu Wang

Wei Shu Wang is a scholar working on Oncology, Pathology and Forensic Medicine, Hepatology, Hematology and Epidemiology, having authored 13 papers that have together received 376 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (2 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Diagnosis and Treatment (2 papers), Viral-associated cancers and disorders (2 papers), Fungal Infections and Studies (1 paper), Thermochemical Biomass Conversion Processes (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Oncology (172 citations), Hepatology (47 citations), Epidemiology (124 citations), Pathology and Forensic Medicine (49 citations) and Hematology (24 citations). Wei Shu Wang has collaborated with scholars based in Taiwan and China. Frequent co-authors include Tzeon Jye Chiou, Po Min Chen, Liu H, Hao‐Wei Teng, Ming‐Huang Chen, Jen Kou Lin, Frank Sheng Fan, Chung‐Jen Teng, Muh Hwa Yang and Ming-Yang Lee. Their work appears in journals such as Annals of Hematology, Japanese Journal of Clinical Oncology, Supportive Care in Cancer, Advanced materials research and PubMed.

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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