Siming Wang

4.7k citations
143 papers · 3.8k indexed · h-index 36

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 15
    • Gut microbiota and health 12
    • Advanced biosensing and bioanalysis techniques 7
    • DNA and Nucleic Acid Chemistry 7
    • Diet and metabolism studies 7

Siming Wang

137 papers receiving 3.8k citations

Peers

Siming Wang
Comparison fields: 5 of 153
  • Biological Psychiatry 734
  • Behavioral Neuroscience 241
  • Polymers and Plastics 422
  • Biochemistry 201
  • Molecular Biology 1.7k
Replace Naoto Oku with:
Naoto Oku Japan
Claudio Bucolo Italy
Christopher H.K. Cheng Hong Kong
Brett Garner Australia
Wei Cui China
Susan M. Lunte United States
Rahul Deshmukh India
Peter T. Kissinger United States
Yi Jiang China
Shashi Bala Singh India
Siming Wang relative to Naoto Oku Japan Naoto Oku's profile →
Citations per field
00.5×3.5×
Naoto Oku · 1×
Citations per year

Countries citing papers authored by Siming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Siming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013247
2 2019160
3 2020147
4 2020145
5 2019139
6 2021136
7 2020123
8 202094
9 202190
10 201790
11 202180
12 201480
13 201978
14 201976
15 201469
16 202266
17 201962
18 200560
19 201556
20 201355

About Siming Wang

Siming Wang is a scholar working on Molecular Biology, Physiology, Polymers and Plastics, Biological Psychiatry and Surgery, having authored 143 papers that have together received 3.8k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (15 papers), Tryptophan and brain disorders (14 papers), Gut microbiota and health (12 papers), Transition Metal Oxide Nanomaterials (11 papers), Stress Responses and Cortisol (10 papers), Advanced biosensing and bioanalysis techniques (7 papers), DNA and Nucleic Acid Chemistry (7 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Biological Psychiatry (734 citations), Behavioral Neuroscience (241 citations), Polymers and Plastics (422 citations), Biochemistry (201 citations) and Molecular Biology (1.7k citations). Siming Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Youge Qu, Kenji Hashimoto, Lijia Chang, Yaoyu Pu, Iván K. Schuller, Juan Gabriel Ramírez, Yūkō Fujita, Kai Zhang, Yunfei Tan and Xingming Wang. Their work appears in journals such as Physical Review B, Biochemistry, Analytical and Bioanalytical Chemistry, Pharmacology Biochemistry and Behavior and European Archives of Psychiatry and Clinical Neuroscience.

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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