Lei Chi

521 total citations
12 papers, 361 citations indexed

About

Lei Chi is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Lei Chi has authored 12 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Anesthesiology and Pain Medicine. Recurrent topics in Lei Chi's work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Anesthesia and Pain Management (5 papers) and Anesthesia and Sedative Agents (3 papers). Lei Chi is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (5 papers), Anesthesia and Pain Management (5 papers) and Anesthesia and Sedative Agents (3 papers). Lei Chi collaborates with scholars based in United States, China and Macao. Lei Chi's co-authors include Paige Latham, Lisa Morse, Paul F. White, Tijani Issioui, Scott D. Markowitz, Shi Chen, Caleb Ing, Eduardo Zárate, J. Michael DiMaio and Michael E. Jessen and has published in prestigious journals such as Anesthesiology, Journal of Thoracic and Cardiovascular Surgery and Anesthesia & Analgesia.

In The Last Decade

Lei Chi

12 papers receiving 346 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lei Chi United States 7 256 154 131 29 28 12 361
Seung Hyun Kim South Korea 13 197 0.8× 127 0.8× 108 0.8× 29 1.0× 7 0.3× 36 377
Marta Kelava United States 14 362 1.4× 92 0.6× 275 2.1× 28 1.0× 9 0.3× 34 519
Toshiko Sakai Japan 8 233 0.9× 139 0.9× 61 0.5× 51 1.8× 15 0.5× 15 444
Taeha Ryu South Korea 10 129 0.5× 115 0.7× 46 0.4× 28 1.0× 4 0.1× 31 276
Nils B. Fjeld Norway 9 130 0.5× 14 0.1× 131 1.0× 38 1.3× 16 0.6× 22 408
Pascal Incagnoli France 9 124 0.5× 74 0.5× 37 0.3× 20 0.7× 11 0.4× 21 248
W. Geisser Germany 11 208 0.8× 74 0.5× 129 1.0× 19 0.7× 2 0.1× 21 401
Chang Hee Kwon South Korea 15 139 0.5× 11 0.1× 268 2.0× 24 0.8× 15 0.5× 56 540
O. Prakash Netherlands 11 151 0.6× 59 0.4× 152 1.2× 16 0.6× 1 0.0× 24 472
Tomasz Łazowski Poland 8 125 0.5× 22 0.1× 16 0.1× 26 0.9× 31 1.1× 27 232

Countries citing papers authored by Lei Chi

Since Specialization
Citations

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

Fields of papers citing papers by Lei Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Chi. A scholar is included among the top collaborators of Lei Chi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lei Chi. Lei Chi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Li, Qinglin, et al.. (2023). Machine learning prediction of motor function in chronic stroke patients: a systematic review and meta-analysis. Frontiers in Neurology. 14. 1039794–1039794. 4 indexed citations
2.
3.
4.
Li, Jiatong, Hao Hu, Joanna Harnett, et al.. (2018). Internationalization of Traditional/Complementary Medicine products: market entry as medicine. Chinese Medicine. 13(1). 50–50. 23 indexed citations
5.
Li, Xiaoning, et al.. (2016). [Effect of Electroacupuncture Intervention at Different Time-points on Locomotor Function and Apoptosis in Rats with Acute Spinal Cord Injury].. PubMed. 41(6). 492–6. 2 indexed citations
6.
Greilich, Philip E., et al.. (2003). Antifibrinolytic therapy during cardiopulmonary bypass reduces proinflammatory cytokine levels: a randomized, double-blind, placebo-controlled study of ϵ-aminocaproic acid and aprotinin. Journal of Thoracic and Cardiovascular Surgery. 126(5). 1498–1503. 58 indexed citations
7.
White, Paul F., Paige Latham, Scott D. Markowitz, et al.. (2003). Use of a Continuous Local Anesthetic Infusion for Pain Management after Median Sternotomy. Anesthesiology. 99(4). 918–923. 161 indexed citations
8.
Latham, Paige, et al.. (2002). Continuous Postoperative Infusion of a Local Anesthetic after Open-Heart Surgery. Anesthesiology. 96(Sup 2). A899–A899. 1 indexed citations
9.
Latham, Paige, et al.. (2000). Fast-track cardiac anesthesia: A comparison of remifentanil plus intrathecal morphine with sufentanil in a desflurane-based anesthetic. Journal of Cardiothoracic and Vascular Anesthesia. 14(6). 645–651. 20 indexed citations
10.
Zárate, Eduardo, Paige Latham, Paul F. White, et al.. (2000). Fast-Track Cardiac Anesthesia: Use of Remifentanil Combined with Intrathecal Morphine as an Alternative to Sufentanil During Desflurane Anesthesia. Anesthesia & Analgesia. 91(2). 283–287. 44 indexed citations
11.
Zárate, Eduardo, Paige Latham, Paul F. White, et al.. (2000). Fast-Track Cardiac Anesthesia: Use of Remifentanil Combined with Intrathecal Morphine as an Alternative to Sufentanil During Desflurane Anesthesia. Anesthesia & Analgesia. 91(2). 283–287. 16 indexed citations
12.
Yang, Zuli, et al.. (2000). [The postburn "shock heart"].. PubMed. 16(5). 275–8. 4 indexed citations

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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