P. Wang

688 citations
9 papers · 535 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Pancreatitis Pathology and Treatment 2
    • Pancreatic function and diabetes 1
    • Pancreatic and Hepatic Oncology Research 5
    • Inflammatory Biomarkers in Disease Prognosis 3

P. Wang

9 papers receiving 534 citations

Peers

P. Wang
Comparison fields: 5 of 53
  • Cancer Research 268
  • Oncology 325
  • Hepatology 50
  • Surgery 128
  • Pulmonary and Respiratory Medicine 89
Replace Zhen-Hai Lu with:
Zhen-Hai Lu China
Weimin Mao China
Renben Wang China
Milan Mangeshkar United States
Yi‐Qun Che China
Öznur Bal Türkiye
Florence Castan France
Xiuxin Han China
Kyung Kee Baek South Korea
Jamil Asselah Canada
P. Wang relative to Zhen-Hai Lu China Zhen-Hai Lu's profile →
Citations per field
00.5×1.5×2.1×
Zhen-Hai Lu · 1×
Citations per year

Countries citing papers authored by P. Wang

Since Specialization
Citations

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

Fields of papers citing papers by P. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013182
2 2015105
3 2010104
4 201581
5 200733
6 201117
7 20099
8 20233
9 20161

About P. Wang

P. Wang is a scholar working on Surgery, Oncology, Pathology and Forensic Medicine, Epidemiology and Hepatology, having authored 9 papers that have together received 535 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Genetic factors in colorectal cancer (2 papers), Pancreatitis Pathology and Treatment (2 papers), Cancer Genomics and Diagnostics (1 paper), MicroRNA in disease regulation (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cancer Research (268 citations), Oncology (325 citations), Hepatology (50 citations), Surgery (128 citations) and Pulmonary and Respiratory Medicine (89 citations). P. Wang has collaborated with scholars based in China. Frequent co-authors include Zhen Chen, Hao Chen, Qi Qi, Yawen Geng, Zhiqiang Meng, Jie Fan, Menghong Sun, Jialong Zhang, Jian‐Min Luo and Zhefeng Meng. Their work appears in journals such as European Journal of Surgical Oncology, Pancreatology, Oncogene and World Journal of Surgery.

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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