Alex Sia

1.1k total citations
29 papers, 787 citations indexed

About

Alex Sia is a scholar working on Surgery, Anesthesiology and Pain Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Alex Sia has authored 29 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Surgery, 12 papers in Anesthesiology and Pain Medicine and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Alex Sia's work include Anesthesia and Pain Management (24 papers), Pain Management and Opioid Use (9 papers) and Pediatric Pain Management Techniques (7 papers). Alex Sia is often cited by papers focused on Anesthesia and Pain Management (24 papers), Pain Management and Opioid Use (9 papers) and Pediatric Pain Management Techniques (7 papers). Alex Sia collaborates with scholars based in Singapore, United States and United Kingdom. Alex Sia's co-authors include Ban Leong Sng, Yvonne Lim, Ene‐Choo Tan, Hai‐Yang Law, Eileen C.P. Lim, Yik‐Ying Teo, Y. Lim, J. L. Chong, David Woo and Pryseley Nkouibert Assam and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Pain and Anesthesia & Analgesia.

In The Last Decade

Alex Sia

29 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Sia Singapore 15 507 274 235 142 121 29 787
Yvonne Lim Singapore 13 515 1.0× 369 1.3× 272 1.2× 127 0.9× 112 0.9× 19 898
Lynne Harris United States 14 748 1.5× 298 1.1× 118 0.5× 215 1.5× 78 0.6× 15 872
Emily F. Ratner United States 12 320 0.6× 194 0.7× 98 0.4× 120 0.8× 69 0.6× 19 614
Oguzhan Dagtekin Germany 16 406 0.8× 251 0.9× 90 0.4× 100 0.7× 94 0.8× 33 633
Craig M. Palmer United States 15 910 1.8× 454 1.7× 234 1.0× 212 1.5× 75 0.6× 37 1.1k
Ferne B. Sevarino United States 15 503 1.0× 369 1.3× 230 1.0× 152 1.1× 65 0.5× 30 851
Wilhelm Ruppen Switzerland 15 458 0.9× 266 1.0× 90 0.4× 152 1.1× 59 0.5× 31 762
Suzanne E. Rapp United States 15 832 1.6× 639 2.3× 149 0.6× 292 2.1× 183 1.5× 30 1.2k
‪Chryssoula Staikou Greece 16 291 0.6× 189 0.7× 80 0.3× 223 1.6× 45 0.4× 69 657
Waleed Riad Saudi Arabia 17 547 1.1× 474 1.7× 101 0.4× 181 1.3× 37 0.3× 49 1.0k

Countries citing papers authored by Alex Sia

Since Specialization
Citations

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

Fields of papers citing papers by Alex Sia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Sia

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Sia. A scholar is included among the top collaborators of Alex Sia 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 Alex Sia. Alex Sia 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.
Barratt, Daniel T., Alex Sia, Ene‐Choo Tan, & Andrew A. Somogyi. (2021). Innate Immune and Neuronal Genetic Markers Are Highly Predictive of Postoperative Pain and Morphine Patient-Controlled Analgesia Requirements in Indian but Not Chinese or Malay Hysterectomy Patients. Pain Medicine. 22(11). 2648–2660. 5 indexed citations
2.
Orbach‐Zinger, Sharon, Ashok Jadon, D. N. Lucas, et al.. (2021). Intrathecal catheter use after accidental dural puncture in obstetric patients: literature review and clinical management recommendations. Anaesthesia. 76(8). 1111–1121. 22 indexed citations
3.
Sia, Alex, et al.. (2020). Analysis of SCN9A Gene Variants for Acute and Chronic Postoperative Pain and Morphine Consumption After Total Hysterectomy. Pain Medicine. 21(11). 2642–2649. 4 indexed citations
4.
Loke, Mun Fai, et al.. (2019). <p>Deep sequencing analysis to identify novel and rare variants in pain-related genes in patients with acute postoperative pain and high morphine use</p>. Journal of Pain Research. Volume 12. 2755–2770. 3 indexed citations
5.
Sng, Ban Leong, Fahad Javaid Siddiqui, Pryseley Nkouibert Assam, et al.. (2018). Automated mandatory bolus versus basal infusion for maintenance of epidural analgesia in labour. Cochrane Database of Systematic Reviews. 2018(5). CD011344–CD011344. 45 indexed citations
6.
Kinsella, Stephen, Bruno Carvalho, R.A. Dyer, et al.. (2018). International Consensus Statement on the Management of Hypotension With Vasopressors During Caesarean Section Under Spinal Anaesthesia. Obstetric Anesthesia Digest. 38(4). 171–172. 13 indexed citations
7.
Sng, Ban Leong, Fahad Javaid Siddiqui, Pryseley Nkouibert Assam, et al.. (2016). Hyperbaric versus isobaric bupivacaine for spinal anaesthesia for caesarean section. Cochrane Database of Systematic Reviews. 2016(9). CD005143–CD005143. 20 indexed citations
8.
Lim, Eileen C.P., et al.. (2015). Common variants of catechol-O-methyltransferase influence patient-controlled analgesia usage and postoperative pain in patients undergoing total hysterectomy. The Pharmacogenomics Journal. 16(2). 186–192. 21 indexed citations
9.
Sia, Alex, Seo‐Wei Leo, & C. E. Ocampo. (2014). A Randomized Comparison of Variable-Frequency Automated Mandatory Boluses With a Basal Infusion for Patient-controlled Epidural Analgesia During Labor and Delivery. Obstetric Anesthesia Digest. 34(2). 120–120. 1 indexed citations
10.
Sia, Alex, et al.. (2013). Influence of Mu-Opioid Receptor Variant on Morphine Use and Self-Rated Pain Following Abdominal Hysterectomy. Journal of Pain. 14(10). 1045–1052. 43 indexed citations
11.
Teoh, Wendy H., et al.. (2013). Ruptured uterine artery pseudoaneurysm: an overlooked cause of late postpartum haemorrhage.. PubMed. 64(4). 159–62. 1 indexed citations
12.
13.
Sng, Ban Leong, et al.. (2009). An observational prospective cohort study of incidence and characteristics of failed spinal anaesthesia for caesarean section. International Journal of Obstetric Anesthesia. 18(3). 237–241. 36 indexed citations
14.
Tan, Ene‐Choo, et al.. (2008). Ethnic Differences in Pain Perception and Patient-Controlled Analgesia Usage for Postoperative Pain. Journal of Pain. 9(9). 849–855. 74 indexed citations
15.
16.
Sia, Alex, et al.. (2004). 0.2% ropivacaine and levobupivacaine provide equally effective epidural labour analgesia. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 51(9). 918–922. 10 indexed citations
17.
18.
Sia, Alex, et al.. (1998). Severe mitral stenosis in a parturient with congestive cardiac failure and hypoglycaemia. International Journal of Obstetric Anesthesia. 7(3). 173–176. 2 indexed citations
19.
Chow, Mark Y. H., et al.. (1998). Alkalinization of Lidocaine Does not Hasten the Onset of Axillary Brachial Plexus Block. Anesthesia & Analgesia. 86(3). 566–568. 33 indexed citations
20.
Chow, Mark Y. H., et al.. (1998). Alkalinization of Lidocaine Does not Hasten the Onset of Axillary Brachial Plexus Block. Anesthesia & Analgesia. 86(3). 566–568. 22 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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