Shining Cai

23 papers receiving 564 citations

Peers

Shining Cai
Comparison fields: 5 of 101
  • Critical Care and Intensive Care Medicine 77
  • Research and Theory 9
  • Anesthesiology and Pain Medicine 51
  • Developmental Neuroscience 37
  • Clinical Psychology 168
Replace Maryam Eghbali‐Babadi with:
Maryam Eghbali‐Babadi Iran
Sharon Scott United Kingdom
Hye‐Ryoung Kim South Korea
Bradly P. Jacobs United States
Abby Luck Parish United States
Molouk Jaafarpour Iran
Keane Y. Tzong United States
Heather E. Barry United Kingdom
Barbara Workman Australia
Michael G. O’Neil United States
Shining Cai relative to Maryam Eghbali‐Babadi Iran Maryam Eghbali‐Babadi's profile →
Citations per field
00.5×5.3×
Maryam Eghbali‐Babadi · 1×
Citations per year

Countries citing papers authored by Shining Cai

Since Specialization
Citations

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

Fields of papers citing papers by Shining Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020177
2 2019123
3 201663
4 201540
5 202236
6 202225
7 202016
8 202015
9 201912
10 201711
11 20209
12 20148
13 20157
14 20236
15 20226
16 20195
17 20204
18 20224
19 20154
20 20232

About Shining Cai

Shining Cai is a scholar working on Critical Care and Intensive Care Medicine, Developmental Neuroscience, Anesthesiology and Pain Medicine, Clinical Psychology and Oncology, having authored 23 papers that have together received 576 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (9 papers), Anesthesia and Neurotoxicity Research (7 papers), Anesthesia and Sedative Agents (5 papers), Chromatography in Natural Products (4 papers), Saffron Plant Research Studies (4 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Plant-based Medicinal Research (2 papers) and Flavonoids in Medical Research (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (77 citations), Research and Theory (9 citations), Anesthesiology and Pain Medicine (51 citations), Developmental Neuroscience (37 citations) and Clinical Psychology (168 citations). Shining Cai has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Wenyan Pan, Yue Zhai, Shizheng Du, Wen Liu, Yan Hu, Jianshu Dong, Jos M. Latour, Jili Zheng, Chunling Wang and Jian Gao. Their work appears in journals such as Journal of Advanced Nursing, International Journal of Nursing Studies, Journal of Separation Science, Phytochemical Analysis and Frontiers in Psychiatry.

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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