Sue Wang

63 papers receiving 587 citations

Peers

Sue Wang
Comparison fields: 5 of 128
  • Biological Psychiatry 41
  • Behavioral Neuroscience 27
  • Energy Engineering and Power Technology 24
  • Pharmacology 37
  • Oncology 72
Replace Miyoko Matsushima with:
Miyoko Matsushima Japan
Ting Lei China
Siwei Li China
Dawen Xie United States
Shivani Patel India
Mihai Munteanu Romania
Mengdi Jin China
Sue Wang relative to Miyoko Matsushima Japan Miyoko Matsushima's profile →
Citations per field
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Miyoko Matsushima · 1×
Citations per year

Countries citing papers authored by Sue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009100
2 201438
3 201836
4 201432
5 201426
6 201423
7 201622
8 201422
9 201921
10 201819
11 201416
12 202214
13 201413
14 201912
15
Effect of hyperbaric oxygen therapy on patients with herpes zoster.
201312
16 201611
17 201911
18 201411
19 200910
20
Structural Differences of Arterial Walls Which are Either Vulnerable or Resistant to Atherosclerosis
199010

About Sue Wang

Sue Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Ocean Engineering, Language and Linguistics and Surgery, having authored 68 papers that have together received 623 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (10 papers), Islanding Detection in Power Systems (6 papers), Solid State Laser Technologies (6 papers), EFL/ESL Teaching and Learning (6 papers), Photorefractive and Nonlinear Optics (4 papers), Pancreatitis Pathology and Treatment (4 papers), Structural Integrity and Reliability Analysis (4 papers) and Power Systems and Renewable Energy (4 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Behavioral Neuroscience (27 citations), Energy Engineering and Power Technology (24 citations), Pharmacology (37 citations) and Oncology (72 citations). Sue Wang has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Sui-yu Hu, Deborah A. Swartz‐Basile, Henry A. Pitt, Nicholas J. Zyromski, Abhishek Mathur, Chunhu Zhang, Harikrishna Nakshatri, Yunhui Li, Dale E. Johnson and Naiara Naiana Dejani. Their work appears in journals such as Pharmacognosy Magazine, Energies, Digestive Diseases and Sciences, Gastroenterology and Optics & Laser Technology.

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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