Panpan Wang

941 citations
13 papers · 841 · h-index 11

Impact in

Papers in

Panpan Wang

13 papers receiving 828 citations

Peers

Panpan Wang
Comparison fields: 5 of 67
  • Computational Theory and Mathematics 399
  • Molecular Biology 327
  • Critical Care and Intensive Care Medicine 24
  • Pharmacology 63
  • Anesthesiology and Pain Medicine 27
Replace Scott A. Cosmi with:
Scott A. Cosmi United States
Qingning Yuan China
Christopher L. Cioffi United States
Christopher R. Ellis United States
Mary K. Grizzle United States
Andy Kuo Australia
Gregory J. Pacofsky United States
Susanna Tse United States
Laura Iavarone Italy
Joanne Louise Leaney United Kingdom
Panpan Wang relative to Scott A. Cosmi United States Scott A. Cosmi's profile →
Citations per field
00.5×5×10×13.5×
Scott A. Cosmi · 1×
Citations per year

Countries citing papers authored by Panpan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2018269
2 2018140
3 201579
4 201758
5 201756
6 201651
7 201647
8 201746
9 201633
10 201131
11 201525
12 20224
13 20162

About Panpan Wang

Panpan Wang is a scholar working on Computational Theory and Mathematics, Pharmacology, Psychiatry and Mental health, Critical Care and Intensive Care Medicine and Biotechnology, having authored 13 papers that have together received 841 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Attention Deficit Hyperactivity Disorder (2 papers), Marine Sponges and Natural Products (1 paper), Mycobacterium research and diagnosis (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Opioid Use Disorder Treatment (1 paper), Neurotransmitter Receptor Influence on Behavior (1 paper) and Treatment of Major Depression (1 paper). The work is most often cited by research in Computational Theory and Mathematics (399 citations), Molecular Biology (327 citations), Critical Care and Intensive Care Medicine (24 citations), Pharmacology (63 citations) and Anesthesiology and Pain Medicine (27 citations). Panpan Wang has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Weiwei Xue, Feng Zhu, Xiaojun Yao, Fengyuan Yang, Yu Zong Chen, Guoxun Zheng, Yinghong Li, Bo Li, Xiaoxu Li and Xiaofeng Li. Their work appears in journals such as ACS Chemical Neuroscience, Physical Chemistry Chemical Physics, Bio-Medical Materials and Engineering, Annals of Intensive Care and PLoS ONE.

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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