Anna M. Varughese

1.3k total citations
48 papers, 889 citations indexed

About

Anna M. Varughese is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine and Surgery. According to data from OpenAlex, Anna M. Varughese has authored 48 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 18 papers in Anesthesiology and Pain Medicine and 16 papers in Surgery. Recurrent topics in Anna M. Varughese's work include Cardiac, Anesthesia and Surgical Outcomes (24 papers), Airway Management and Intubation Techniques (11 papers) and Patient Safety and Medication Errors (11 papers). Anna M. Varughese is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (24 papers), Airway Management and Intubation Techniques (11 papers) and Patient Safety and Medication Errors (11 papers). Anna M. Varughese collaborates with scholars based in United States, Switzerland and Italy. Anna M. Varughese's co-authors include Rajeev Subramanyam, C. Dean Kurth, Joel B. Gunter, Eric P. Wittkugel, J. Paul Willging, Senthilkumar Sadhasivam, Todd G. Nick, Yu Wang, Marla Matar and Charles M. Myer and has published in prestigious journals such as PEDIATRICS, Anesthesiology and Anesthesia & Analgesia.

In The Last Decade

Anna M. Varughese

48 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna M. Varughese United States 17 391 322 257 253 136 48 889
Hamish M. Munro United States 16 515 1.3× 646 2.0× 292 1.1× 326 1.3× 99 0.7× 45 1.3k
Paul I. Reynolds United States 22 593 1.5× 673 2.1× 198 0.8× 485 1.9× 119 0.9× 44 1.5k
D. Bogod United Kingdom 18 526 1.3× 385 1.2× 111 0.4× 361 1.4× 57 0.4× 52 934
Wayne W. Morriss New Zealand 11 166 0.4× 151 0.5× 114 0.4× 408 1.6× 40 0.3× 23 714
Anita Honkanen United States 12 110 0.3× 124 0.4× 395 1.5× 97 0.4× 72 0.5× 22 701
David M. Rothenberg United States 14 182 0.5× 122 0.4× 117 0.5× 123 0.5× 88 0.6× 32 901
Jouni Kurola Finland 24 260 0.7× 358 1.1× 34 0.1× 185 0.7× 64 0.5× 58 1.5k
Helen Anderson United States 8 588 1.5× 238 0.7× 58 0.2× 293 1.2× 33 0.2× 9 865
Reuben J. Strayer United States 11 208 0.5× 279 0.9× 74 0.3× 142 0.6× 23 0.2× 29 868
Angela Amigoni Italy 18 165 0.4× 229 0.7× 169 0.7× 63 0.2× 17 0.1× 77 926

Countries citing papers authored by Anna M. Varughese

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Varughese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M. Varughese. 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 Anna M. Varughese. The network helps show where Anna M. Varughese may publish in the future.

Co-authorship network of co-authors of Anna M. Varughese

This figure shows the co-authorship network connecting the top 25 collaborators of Anna M. Varughese. A scholar is included among the top collaborators of Anna M. Varughese 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 Anna M. Varughese. Anna M. Varughese 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.
Varughese, Anna M., et al.. (2024). Pediatric Ambulatory Anesthesia: Confronting Challenges, Embracing Opportunities. Anesthesia & Analgesia. 140(3). 596–598. 1 indexed citations
2.
Ding, Lili, et al.. (2022). Adaptive Care for Perioperative Patients With Developmental Disabilities: An Exploration of Interventions and Family Experience. Journal of Pediatric Health Care. 36(6). 529–539. 5 indexed citations
3.
Hill, Lauren M., et al.. (2021). Optimizing Pediatric Induction Experiences Using Human-centered Design. Journal of PeriAnesthesia Nursing. 37(1). 48–52. 5 indexed citations
4.
Ding, Lili, et al.. (2018). Validation of a Simple Tool for Electronic Documentation of Behavioral Responses to Anesthesia Induction. Anesthesia & Analgesia. 130(2). 472–479. 12 indexed citations
5.
Subramanyam, Rajeev, et al.. (2015). Systematic review of risk factors for surgical site infection in pediatric scoliosis surgery. The Spine Journal. 15(6). 1422–1431. 41 indexed citations
6.
7.
Subramanyam, Rajeev, Anna M. Varughese, C. Dean Kurth, & Mark H. Eckman. (2014). Cost‐effectiveness of intravenous acetaminophen for pediatric tonsillectomy. Pediatric Anesthesia. 24(5). 467–475. 30 indexed citations
8.
Pratap, J. Nick, et al.. (2013). Getting started with the model for improvement: the model in practice. British Journal of Hospital Medicine. 74(1). 42–46. 2 indexed citations
9.
Varughese, Anna M., et al.. (2013). Improving On-Time Start of Day and End of Day for a Pediatric Surgical Service. PEDIATRICS. 132(1). e219–e228. 4 indexed citations
10.
Kurth, C. Dean, et al.. (2013). Perspectives on Quality and Safety in Pediatric Anesthesia. Anesthesiology Clinics. 32(1). 281–294. 13 indexed citations
11.
Pratap, J. Nick, et al.. (2012). Getting started with the model for improvement: introduction and understanding variation. British Journal of Hospital Medicine. 73(12). 701–705. 2 indexed citations
12.
Varughese, Anna M., et al.. (2011). A comparison of inhalational inductions for children in the operating room vs the induction room. Pediatric Anesthesia. 22(4). 327–334. 5 indexed citations
13.
Sadhasivam, Senthilkumar, Lindsey L. Cohen, Anna M. Varughese, et al.. (2009). Real-Time Assessment of Perioperative Behaviors and Prediction of Perioperative Outcomes. Anesthesia & Analgesia. 108(3). 822–826. 43 indexed citations
14.
Varughese, Anna M., Todd G. Nick, Joel B. Gunter, Yu Wang, & C. Dean Kurth. (2008). Factors Predictive of Poor Behavioral Compliance During Inhaled Induction in Children. Anesthesia & Analgesia. 107(2). 413–421. 57 indexed citations
15.
Varughese, Anna M., Terri L. Byczkowski, Eric P. Wittkugel, Uma R. Kotagal, & C. Dean Kurth. (2006). Impact of a nurse practitioner‐assisted preoperative assessment program on quality. Pediatric Anesthesia. 16(7). 723–733. 35 indexed citations
16.
Wittkugel, Eric P. & Anna M. Varughese. (2005). Pediatric Preoperative Evaluation-A New Paradigm. International Anesthesiology Clinics. 44(1). 141–158. 7 indexed citations
17.
Iyer, Srikant, William DeFoor, Joseph A. Grocela, et al.. (2005). The use of perioperative antibiotics in tonsillectomy: Does it decrease morbidity?. International Journal of Pediatric Otorhinolaryngology. 70(5). 853–861. 19 indexed citations
18.
Varughese, Anna M., et al.. (2005). Quality Management in the Delivery of Pediatric Anesthesia Care. International Anesthesiology Clinics. 44(1). 119–139. 9 indexed citations
19.
Gunter, Joel B., et al.. (1999). Levobupivacaine for Ilioinguinal/Iliohypogastric Nerve Block in Children. Anesthesia & Analgesia. 89(3). 647–647. 35 indexed citations
20.
Gunter, Joel B., Anna M. Varughese, Eric P. Wittkugel, et al.. (1995). Recovery and Complications After Tonsillectomy in Children. Anesthesia & Analgesia. 81(6). 1136–1141. 97 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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