Gaetano Draisci

2.5k total citations
66 papers, 1.8k citations indexed

About

Gaetano Draisci is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Gaetano Draisci has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Surgery, 25 papers in Cardiology and Cardiovascular Medicine and 12 papers in Anesthesiology and Pain Medicine. Recurrent topics in Gaetano Draisci's work include Cardiac, Anesthesia and Surgical Outcomes (21 papers), Anesthesia and Pain Management (20 papers) and Hemodynamic Monitoring and Therapy (10 papers). Gaetano Draisci is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (21 papers), Anesthesia and Pain Management (20 papers) and Hemodynamic Monitoring and Therapy (10 papers). Gaetano Draisci collaborates with scholars based in Italy, United States and Japan. Gaetano Draisci's co-authors include Michael J. Iadarola, Ronald Dubner, Linda S. Brady, Bruno Antonio Zanfini, Stefano Catarci, Luciano Frassanito, Keith C. Kajander, Gary J. Bennett, G. Brodner and Mariano Moreno-Azcoita and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer.

In The Last Decade

Gaetano Draisci

62 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaetano Draisci Italy 20 737 660 604 319 310 66 1.8k
Jie Cai China 29 1.1k 1.5× 1.0k 1.5× 598 1.0× 70 0.2× 90 0.3× 60 2.8k
Christina Daousi United Kingdom 23 691 0.9× 330 0.5× 70 0.1× 262 0.8× 115 0.4× 46 2.1k
David D. Hood United States 32 1.0k 1.4× 1.6k 2.4× 341 0.6× 334 1.0× 1.0k 3.3× 60 2.6k
Daniel R. Kapusta United States 26 443 0.6× 230 0.3× 902 1.5× 416 1.3× 46 0.1× 72 2.0k
Mikito Kawamata Japan 25 965 1.3× 737 1.1× 510 0.8× 113 0.4× 522 1.7× 143 2.1k
Verna L. Baughman United States 27 371 0.5× 418 0.6× 332 0.5× 281 0.9× 610 2.0× 60 2.0k
Chen‐Hwan Cherng Taiwan 24 537 0.7× 615 0.9× 373 0.6× 143 0.4× 700 2.3× 100 1.9k
Manabu Yoshimura Japan 21 259 0.4× 199 0.3× 281 0.5× 364 1.1× 113 0.4× 121 1.5k
Anshi Wu China 21 254 0.3× 252 0.4× 144 0.2× 139 0.4× 285 0.9× 103 1.4k
Tomiei Kazama Japan 30 245 0.3× 794 1.2× 248 0.4× 373 1.2× 1.2k 3.9× 81 2.5k

Countries citing papers authored by Gaetano Draisci

Since Specialization
Citations

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

Fields of papers citing papers by Gaetano Draisci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaetano Draisci

This figure shows the co-authorship network connecting the top 25 collaborators of Gaetano Draisci. A scholar is included among the top collaborators of Gaetano Draisci 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 Gaetano Draisci. Gaetano Draisci 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.
Frassanito, Luciano, Nicoletta Filetici, Francesco Vassalli, et al.. (2024). Sacral sensory blockade from 27-gauge pencil-point dural puncture epidural analgesia or epidural analgesia in laboring nulliparous parturients: a randomized controlled trial. International Journal of Obstetric Anesthesia. 60. 104217–104217. 2 indexed citations
2.
Velardo, Matteo, et al.. (2023). Eye Movement Modeling Examples as a Teaching Tool for Epidural Block. Open Journal of Anesthesiology. 13(4). 75–84.
3.
Frassanito, Luciano, Manuel Ignacio Monge García, Chiara Sonnino, et al.. (2023). Hypotension Prediction Index guided Goal Directed therapy and the amount of Hypotension during Major Gynaecologic Oncologic Surgery: a Randomized Controlled clinical Trial. Journal of Clinical Monitoring and Computing. 37(4). 1081–1093. 34 indexed citations
4.
Frassanito, Luciano, Fabio Sbaraglia, Nicoletta Filetici, et al.. (2023). Real Evidence and Misconceptions about Malignant Hyperthermia in Children: A Narrative Review. Journal of Clinical Medicine. 12(12). 3869–3869. 7 indexed citations
5.
Catarci, Stefano, Bruno Antonio Zanfini, Luciano Frassanito, et al.. (2023). Blended (Combined Spinal and General) vs. General Anesthesia for Abdominal Hysterectomy: A Retrospective Study. Journal of Clinical Medicine. 12(14). 4775–4775. 3 indexed citations
6.
Frassanito, Luciano, Rossella Di Bidino, Bruno Antonio Zanfini, et al.. (2023). Personalized Predictive Hemodynamic Management for Gynecologic Oncologic Surgery: Feasibility of Cost–Benefit Derivatives of Digital Medical Devices. Journal of Personalized Medicine. 14(1). 58–58. 1 indexed citations
7.
Catarci, Stefano, et al.. (2023). A case report of an atypical haemolytic uremic syndrome in pregnancy: something wicked this way comes. BMC Anesthesiology. 23(1). 94–94. 4 indexed citations
8.
Longo, Valentina Laurita, Emmanuel Nene Odjidja, Bruno Antonio Zanfini, et al.. (2023). Risk factors associated with severe perineal lacerations during vaginal delivery: a 10-year propensity score–matched observational study. AJOG Global Reports. 3(2). 100174–100174. 5 indexed citations
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Catarci, Stefano, et al.. (2018). Successful use of spinal anesthesia for an urgent cesarean section in a parturient with a severe Klippel-Trénaunay syndrome. Korean journal of anesthesiology. 71(5). 411–412. 1 indexed citations
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14.
Draisci, Gaetano, et al.. (2018). Safety and effectiveness of coadministration of intrathecal sufentanil and morphine in hyperbaric bupivacaine-based spinal anesthesia for cesarean section. Journal of Opioid Management. 5(4). 197–202. 3 indexed citations
15.
Teofili, Luciana, Maria Bianchi, Bruno Antonio Zanfini, et al.. (2014). ACUTE LUNG INJURY COMPLICATING BLOOD TRANSFUSION IN POST-PARTUM HEMORRHAGE: INCIDENCE AND RISK FACTORS.. Mediterranean Journal of Hematology and Infectious Diseases. 6(1). e2014069–e2014069. 14 indexed citations
16.
Catarci, Stefano, et al.. (2012). A study of low-dose S-ketamine infusion as "preventive" pain treatment for cesarean section with spinal anesthesia: benefits and side effects.. PubMed. 78(7). 774–81. 60 indexed citations
17.
Draisci, Gaetano, Bruno Antonio Zanfini, Eleonora Nucera, et al.. (2011). Latex Sensitization. Anesthesiology. 114(3). 565–569. 20 indexed citations
18.
Benhamou, Dan, É. Viel, Marco Berti, et al.. (2008). Enquête européenne sur la prise en charge de la douleur et de l’analgésie postopératoires (PATHOS) : les résultats français. Annales Françaises d Anesthésie et de Réanimation. 27(9). 664–678. 13 indexed citations
19.
Benhamou, Dan, Marco Berti, G. Brodner, et al.. (2007). Postoperative Analgesic THerapy Observational Survey (PATHOS): A practice pattern study in 7 Central/Southern European countries. Pain. 136(1). 134–141. 171 indexed citations
20.
Kajander, Keith C., et al.. (1996). Fos-like immunoreactivity increases in the lumbar spinal cord following a chronic constriction injury to the sciatic nerve of rat. Neuroscience Letters. 206(1). 9–12. 64 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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