Saiying Wang

48 papers receiving 865 citations

Peers

Saiying Wang
Comparison fields: 5 of 83
  • Biological Psychiatry 87
  • Anesthesiology and Pain Medicine 151
  • Developmental Neuroscience 56
  • Critical Care and Intensive Care Medicine 48
  • Behavioral Neuroscience 34
Replace Noboru Hatakeyama with:
Noboru Hatakeyama Japan
Dan Cheng China
Elemér K. Zsigmond United States
Riyue Jiang China
Cláudia Silva Portugal
Dengyang Han China
Eiji Masaki Japan
Khiany Mathias Brazil
Gwo‐Ching Sun Taiwan
Saiying Wang relative to Noboru Hatakeyama Japan Noboru Hatakeyama's profile →
Citations per field
00.5×9.4×
Noboru Hatakeyama · 1×
Citations per year

Countries citing papers authored by Saiying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Saiying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019147
2 201974
3 201665
4 201542
5 201841
6 201937
7 202233
8 202330
9 202227
10 201727
11 201925
12 201423
13 201120
14 202319
15 201819
16 201417
17 202215
18 202414
19 202114
20 202013

About Saiying Wang

Saiying Wang is a scholar working on Public Health, Environmental and Occupational Health, Biological Psychiatry, Anesthesiology and Pain Medicine, Molecular Biology and Pharmacology, having authored 49 papers that have together received 872 indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (11 papers), Tryptophan and brain disorders (10 papers), Anesthesia and Sedative Agents (7 papers), Pain Mechanisms and Treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Biological Psychiatry (87 citations), Anesthesiology and Pain Medicine (151 citations), Developmental Neuroscience (56 citations), Critical Care and Intensive Care Medicine (48 citations) and Behavioral Neuroscience (34 citations). Saiying Wang has collaborated with scholars based in China. Frequent co-authors include Kaiming Duan, Qi Pei, Guoping Yang, Shuang Yang, Chang Cui, Jie Huang, Ling Ye, Kai‐Ming Duan, Jiahui Ma and Danyang Li. Their work appears in journals such as Journal of Affective Disorders, The Journal of Clinical Pharmacology, Neurochemical Research, ACS Pharmacology & Translational Science and Drug Design Development and Therapy.

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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