Kenji Shigemi

890 total citations
57 papers, 608 citations indexed

About

Kenji Shigemi is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine and Surgery. According to data from OpenAlex, Kenji Shigemi has authored 57 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 16 papers in Anesthesiology and Pain Medicine and 15 papers in Surgery. Recurrent topics in Kenji Shigemi's work include Anesthesia and Sedative Agents (12 papers), Anesthesia and Neurotoxicity Research (9 papers) and Hemodynamic Monitoring and Therapy (9 papers). Kenji Shigemi is often cited by papers focused on Anesthesia and Sedative Agents (12 papers), Anesthesia and Neurotoxicity Research (9 papers) and Hemodynamic Monitoring and Therapy (9 papers). Kenji Shigemi collaborates with scholars based in Japan, United States and South Korea. Kenji Shigemi's co-authors include Kazuko Hayashi, Kenji Sunagawa, Masaru Sugimachi, Toshiaki Shishido, Yuka Matsuki, Takayuki Sato, Shigetoshi Oiki, Masayuki Iwamoto, Hiroko Shigemi and Masako Tsuzuki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Circulation.

In The Last Decade

Kenji Shigemi

51 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenji Shigemi Japan 13 202 108 103 95 79 57 608
Yoshimasa Takeda Japan 17 111 0.5× 131 1.2× 189 1.8× 123 1.3× 43 0.5× 60 901
Yusuke Ito Japan 14 107 0.5× 104 1.0× 157 1.5× 118 1.2× 56 0.7× 57 672
Peter Tan Taiwan 18 233 1.2× 336 3.1× 188 1.8× 101 1.1× 55 0.7× 43 797
H. Gregg Schuler United States 19 267 1.3× 182 1.7× 74 0.7× 123 1.3× 27 0.3× 44 857
Tatsushi Fujita Japan 13 97 0.5× 132 1.2× 111 1.1× 79 0.8× 27 0.3× 62 604
Z. J. Bosnjak United States 16 283 1.4× 143 1.3× 149 1.4× 133 1.4× 34 0.4× 50 723
Alexandra Popescu United States 16 112 0.6× 94 0.9× 64 0.6× 113 1.2× 123 1.6× 35 1.1k
T. Nishikawa Japan 16 213 1.1× 190 1.8× 75 0.7× 65 0.7× 26 0.3× 49 797
Paul Tompkins United States 12 103 0.5× 95 0.9× 90 0.9× 61 0.6× 29 0.4× 20 621
Niels H. Secher Denmark 15 200 1.0× 193 1.8× 53 0.5× 40 0.4× 84 1.1× 28 915

Countries citing papers authored by Kenji Shigemi

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Shigemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Shigemi

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Shigemi. A scholar is included among the top collaborators of Kenji Shigemi 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 Kenji Shigemi. Kenji Shigemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shiraishi, Takahiro, Yuka Matsuki, Yukiko Yamazaki, & Kenji Shigemi. (2024). Comparison of Left Ventricular End-Diastolic Volume Approximated from Mean Blood Pressure and Stroke Volume and End-Diastolic Volume Calculated from Left Ventricular-Aortic Coupling. Journal of Clinical Medicine. 13(11). 3204–3204.
2.
Nagata, Osamu, Yuka Matsuki, Hideki Nakatsuka, et al.. (2023). Anesthesia Management via an Automated Control System for Propofol, Remifentanil, and Rocuronium Compared to Management by Anesthesiologists: An Investigator-Initiated Study. Journal of Clinical Medicine. 12(20). 6611–6611. 4 indexed citations
3.
Yamazaki, Yukiko, Yuka Matsuki, & Kenji Shigemi. (2023). A method for calculating left ventricular ejection fraction noninvasively from left ventricular arterial coupling (Ees/Ea). BMC Anesthesiology. 23(1). 200–200. 2 indexed citations
4.
5.
Sumikama, Takashi, et al.. (2021). Conductance selectivity of Na + across the K + channel via Na + trapped in a tortuous trajectory. Proceedings of the National Academy of Sciences. 118(12). 34 indexed citations
6.
Matsuki, Yuka, et al.. (2018). Reliability and validity of the Japanese translation of the DN4 Diagnostic Questionnaire in patients with neuropathic pain. Journal of Anesthesia. 32(3). 403–408. 12 indexed citations
7.
Shigemi, Kenji, Soichiro Fuke, Dai Une, et al.. (2017). Physiological insights of recent clinical diagnostic and therapeutic technologies for cardiovascular diseases. The Journal of Physiological Sciences. 67(6). 655–672. 4 indexed citations
8.
Yoshimura, Hitoshi, Hisato Yoshida, Jun’ichi Kobayashi, et al.. (2016). A Case of Propitocaine-induced Methemoglobinemia During Extraction of Wisdom Teeth Under General Anesthesia. 29(2). 104–108.
9.
10.
Hirose, Masaya, et al.. (2010). Effect of anaesthesia maintained with sevoflurane and propofol on surgical site infection after elective open gastrointestinal surgery. Journal of Hospital Infection. 74(2). 129–136. 11 indexed citations
11.
Murata, Eri, et al.. (2010). A Synthetic Cell-Penetrating Peptide Antagonizing TrkA Function Suppresses Neuropathic Pain in Mice. Journal of Pharmacological Sciences. 114(1). 79–84. 14 indexed citations
12.
Hirose, Munetaka, Yoshihiro Kuroda, Eri Murata, et al.. (2008). Effect of Synthetic Cell-Penetrating Peptides on TrkA Activity in PC12 Cells. Journal of Pharmacological Sciences. 106(1). 107–113. 14 indexed citations
13.
Shigemi, Kenji, et al.. (2006). Patient-Controlled Premedication by Midazolam-Lollipop for Pediatric Patients. THE JOURNAL OF JAPAN SOCIETY FOR CLINICAL ANESTHESIA. 26(1). 48–56.
14.
Hayashi, Kazuko, et al.. (2004). [The influences of nitrous oxide and ketamine on electroencephalogram during propofol-anesthesia].. PubMed. 53(8). 864–72. 1 indexed citations
15.
Hayashi, Kazuko, Kenji Shigemi, Toshiaki Shishido, Masaru Sugimachi, & Kenji Sunagawa. (2000). Single-beat Estimation of Ventricular End-systolic Elastance–Effective Arterial Elastance as an Index of Ventricular Mechanoenergetic Performance. Anesthesiology. 92(6). 1769–1776. 24 indexed citations
16.
Bishop, G. G., et al.. (1994). Extravascular fluid uptake during cardiopulmonary bypass in hypertensive dogs. The Annals of Thoracic Surgery. 57(4). 974–980. 8 indexed citations
17.
Brunner, Maximilian, G. G. Bishop, & Kenji Shigemi. (1993). Arterial compliance and its control by the baroreflex in hypertensive dogs. American Journal of Physiology-Heart and Circulatory Physiology. 265(2). H616–H620. 7 indexed citations
18.
Shigemi, Kenji, et al.. (1990). A comparative study of measurement of arterial blood pressure using HEM-802F and arterial cannulation. Journal of Anesthesia. 4(1). 91–93. 3 indexed citations
19.
Hashimoto, Satoru, et al.. (1990). Effect of nicardipine hydrochloride on circulating blood volume and vascular compliance in dogs.. Japanese Circulation Journal. 54(2). 146–151. 1 indexed citations
20.
Shigemi, Kenji. (1988). Vascular responses to hypercapnia in anesthetized dogs. Journal of Anesthesia. 2(1). 1–7. 2 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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