Piwen Wang

2.4k citations
37 papers · 1.9k indexed · h-index 23

Impact in

Papers in

Piwen Wang

37 papers receiving 1.9k citations

Peers

Piwen Wang
Comparison fields: 5 of 122
  • Biochemistry 362
  • Applied Microbiology and Biotechnology 115
  • Pathology and Forensic Medicine 426
  • Molecular Medicine 101
  • Cancer Research 241
Replace Tatiana Kalinovsky with:
Tatiana Kalinovsky
Federica Rizzi Italy
Saleh A. Almatroodi Saudi Arabia
Kristin R. Landis‐Piwowar United States
Vaishali Aggarwal India
Motofumi Kumazoe Japan
Mou-Tuan Huang United States
Manzar Alam India
Tyler Calway United States
Ock Jin Park South Korea
Piwen Wang relative to Tatiana Kalinovsky Tatiana Kalinovsky's profile →
Citations per field
00.5×
Tatiana Kalinovsky · 1×
Citations per year

Countries citing papers authored by Piwen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Piwen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 202220
3 202259
4 202021
5 202017
6 201739
7 201723
8 201641
9 201573
10 201364
11 201237
12 201283
13 201273
14 201250
15 20121
16 201157
17 201060
18 2010333
19 201045
20 201082

About Piwen Wang

Piwen Wang is a scholar working on Applied Microbiology and Biotechnology, Pathology and Forensic Medicine, Biochemistry, Molecular Medicine and Biological Psychiatry, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (21 papers), Tannin, Tannase and Anticancer Activities (14 papers), Phytoestrogen effects and research (8 papers), Phytochemicals and Antioxidant Activities (5 papers), Phytochemical compounds biological activities (5 papers), Plant-derived Lignans Synthesis and Bioactivity (5 papers), Histone Deacetylase Inhibitors Research (3 papers) and Curcumin's Biomedical Applications (2 papers). The work is most often cited by research in Biochemistry (362 citations), Applied Microbiology and Biotechnology (115 citations), Pathology and Forensic Medicine (426 citations), Molecular Medicine (101 citations) and Cancer Research (241 citations). Piwen Wang has collaborated with scholars based in United States, China and France. Frequent co-authors include Susanne M. Henning, David Heber, Jaydutt V. Vadgama, Qiongyu Hao, Seyung Chung, Catherine L. Carpenter, William J. Aronson, Ru‐Po Lee, Clara E. Magyar and Yanyuan Wu. Their work appears in journals such as The FASEB Journal, Molecular Nutrition & Food Research, The Journal of Nutritional Biochemistry, Cancer Prevention Research and Biomolecules.

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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