Piwen Wang

2.5k citations
39 papers · 2.1k · h-index 24

Impact in

Papers in

Piwen Wang

39 papers receiving 2.1k citations

Peers

Piwen Wang
Comparison fields: 5 of 124
  • Biochemistry 366
  • Applied Microbiology and Biotechnology 93
  • Pathology and Forensic Medicine 456
  • Molecular Medicine 97
  • Geriatrics and Gerontology 55
Replace Tatiana Kalinovsky with:
Tatiana Kalinovsky
Federica Rizzi Italy
Sujit Nair India
Vaishali Aggarwal India
Xiaoxin Chen United States
Mou-Tuan Huang United States
Alicja Kuban‐Jankowska Poland
Y R Lou United States
Yoo‐Hyun Lee South Korea
Bu Young Choi South Korea
Piwen Wang relative to Tatiana Kalinovsky Tatiana Kalinovsky's profile →
Citations per field
00.5×4.2×
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-authors

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

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010342
2 2020233
3 2013101
4 201290
5 201087
6 201884
7 201384
8 201481
9 201279
10 201576
11 201471
12 201071
13 201370
14 202263
15 201163
16 201460
17 201258
18 201051
19 200746
20 201644

About Piwen Wang

Piwen Wang is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Applied Microbiology and Biotechnology, Pharmacology and Oncology, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (22 papers), Tannin, Tannase and Anticancer Activities (10 papers), Phytoestrogen effects and research (7 papers), Plant-derived Lignans Synthesis and Bioactivity (5 papers), Phytochemicals and Antioxidant Activities (4 papers), Phytochemical compounds biological activities (4 papers), Curcumin's Biomedical Applications (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Biochemistry (366 citations), Applied Microbiology and Biotechnology (93 citations), Pathology and Forensic Medicine (456 citations), Molecular Medicine (97 citations) and Geriatrics and Gerontology (55 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, Catherine L. Carpenter, Seyung Chung, William J. Aronson, Ru‐Po Lee, Clara E. Magyar and Yanyuan Wu. Their work appears in journals such as The FASEB Journal, The Journal of Nutritional Biochemistry, Cancer Prevention Research, Molecular Nutrition & Food 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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