Yaping Shi

105 papers receiving 2.4k citations

Peers

Yaping Shi
Comparison fields: 5 of 151
  • Nephrology 270
  • Pharmacology 308
  • Virology 110
  • Critical Care and Intensive Care Medicine 84
  • Anesthesiology and Pain Medicine 57
Replace Christine Lehmann with:
Christine Lehmann Canada
Chun‐Hua Wang Taiwan
Marlies Leenaars Netherlands
F. Estelle R. Simons Canada
Lou Ann S. Brown United States
James A. Kruse United States
Dandan Liu China
Birgit C. P. Koch Netherlands
Xu Liu China
Chi‐Ho Lee Hong Kong
Yaping Shi relative to Christine Lehmann Canada Christine Lehmann's profile →
Citations per field
00.5×4.6×
Christine Lehmann · 1×
Citations per year

Countries citing papers authored by Yaping Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013255
2 2012214
3 2016161
4 201499
5 201470
6 201270
7 199865
8 200363
9 201563
10 201561
11 202149
12 201149
13 201847
14 200345
15 201645
16 202145
17 200342
18 201440
19 202339
20 201437

About Yaping Shi

Yaping Shi is a scholar working on Surgery, Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 114 papers that have together received 2.5k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (10 papers), Pharmacogenetics and Drug Metabolism (6 papers), Optical Coherence Tomography Applications (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Seaweed-derived Bioactive Compounds (5 papers), Polymer Nanocomposite Synthesis and Irradiation (5 papers), Epilepsy research and treatment (3 papers) and Intensive Care Unit Cognitive Disorders (3 papers). The work is most often cited by research in Nephrology (270 citations), Pharmacology (308 citations), Virology (110 citations), Critical Care and Intensive Care Medicine (84 citations) and Anesthesiology and Pain Medicine (57 citations). Yaping Shi has collaborated with scholars based in United States, China and Kenya. Frequent co-authors include Jonathan S. Schildcrout, Joshua C. Denny, Jill M. Pulley, Matthew S. Shotwell, Airong Jia, DM Roden, JS Schildcrout, Miansong Zhang, Josh F. Peterson and Frederic T. Billings. Their work appears in journals such as Biomedical Optics Express, Anesthesia & Analgesia, Seminars in Cardiothoracic and Vascular Anesthesia, PLoS ONE and International Journal of Biological Macromolecules.

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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