M. Swart

1.4k total citations
20 papers, 807 citations indexed

About

M. Swart is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Neurology. According to data from OpenAlex, M. Swart has authored 20 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 9 papers in Cardiology and Cardiovascular Medicine and 3 papers in Neurology. Recurrent topics in M. Swart's work include Cardiac, Anesthesia and Surgical Outcomes (9 papers), Hemodynamic Monitoring and Therapy (7 papers) and Hip and Femur Fractures (3 papers). M. Swart is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (9 papers), Hemodynamic Monitoring and Therapy (7 papers) and Hip and Femur Fractures (3 papers). M. Swart collaborates with scholars based in United Kingdom, United States and Australia. M. Swart's co-authors include J. B. Carlisle, Dominique Thomas, Justin L. Sewell, Denny Levett, Pippa G. Al-Rawi, Sanjeeva Gupta, Avijit Datta, Peter J. Kirkpatrick, David Menon and Peter J. Hutchinson and has published in prestigious journals such as SHILAP Revista de lepidopterología, British journal of surgery and Anesthesia & Analgesia.

In The Last Decade

M. Swart

20 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Swart United Kingdom 10 411 390 169 165 109 20 807
Erik Houltz Sweden 22 572 1.4× 610 1.6× 538 3.2× 86 0.5× 48 0.4× 52 1.4k
M. D. Wiles United Kingdom 15 512 1.2× 302 0.8× 163 1.0× 71 0.4× 25 0.2× 48 920
Robert L. Lennon United States 16 667 1.6× 374 1.0× 210 1.2× 65 0.4× 56 0.5× 47 1.1k
Philippe Blanc France 8 238 0.6× 222 0.6× 500 3.0× 36 0.2× 142 1.3× 21 873
Roar Stenseth Norway 19 485 1.2× 523 1.3× 145 0.9× 33 0.2× 23 0.2× 63 1.0k
Bahri Akdeniz Türkiye 17 146 0.4× 359 0.9× 222 1.3× 57 0.3× 46 0.4× 72 826
K. Skarvan Switzerland 20 594 1.4× 832 2.1× 374 2.2× 36 0.2× 29 0.3× 78 1.2k
Shaman Jhanji United Kingdom 13 817 2.0× 611 1.6× 170 1.0× 68 0.4× 18 0.2× 33 1.4k
Morten Bundgaard‐Nielsen Denmark 17 769 1.9× 723 1.9× 87 0.5× 31 0.2× 32 0.3× 24 991
Yui‐Ming Lam Hong Kong 15 236 0.6× 1.1k 2.8× 121 0.7× 82 0.5× 13 0.1× 38 1.5k

Countries citing papers authored by M. Swart

Since Specialization
Citations

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

Fields of papers citing papers by M. Swart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Swart

This figure shows the co-authorship network connecting the top 25 collaborators of M. Swart. A scholar is included among the top collaborators of M. Swart 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 M. Swart. M. Swart 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.
Hove, M. Van, Joseph John, James N. Frame, et al.. (2024). Unwarranted variation and the goal of net zero for the NHS in England: exploring the link between efficiency working, patient outcomes and carbon footprint. Anaesthesia. 79(3). 284–292. 9 indexed citations
2.
Davies, M. T., et al.. (2022). Age and the anaesthetist: considerations for the individual anaesthetist and workforce planning. Anaesthesia. 77(11). 1259–1267. 7 indexed citations
3.
Dhesi, Jugdeep, et al.. (2022). Perioperative medicine. Future Healthcare Journal. 9(2). 138–143. 15 indexed citations
4.
5.
Gray, William K., Annakan Navaratnam, Jamie Day, et al.. (2021). Safety of day‐case paediatric tonsillectomy in England: an analysis of administrative data for the Getting It Right First Time programme. Anaesthesia. 77(3). 277–285. 9 indexed citations
6.
Swart, M., et al.. (2021). Shared decision making for high-risk surgery. BJA Education. 21(8). 300–306. 8 indexed citations
7.
West, Malcolm, Michael J. Browning, Gary Minto, et al.. (2020). Why women are not small men: sex-related differences in perioperative cardiopulmonary exercise testing. SHILAP Revista de lepidopterología. 9(1). 18–18. 8 indexed citations
8.
Reeves, Thomas, Samantha Bates, K A Richardson, et al.. (2018). Cardiopulmonary exercise testing (CPET) in the United Kingdom—a national survey of the structure, conduct, interpretation and funding. SHILAP Revista de lepidopterología. 7(1). 2–2. 48 indexed citations
9.
Levett, Denny, Sandy Jack, M. Swart, et al.. (2017). Perioperative cardiopulmonary exercise testing (CPET): consensus clinical guidelines on indications, organization, conduct, and physiological interpretation. British Journal of Anaesthesia. 120(3). 484–500. 217 indexed citations
10.
Swart, M., et al.. (2017). A survey of UK peri‐operative medicine: pre‐operative care. Anaesthesia. 72(8). 1010–1015. 16 indexed citations
11.
Dhesi, Jugdeep & M. Swart. (2015). Specialist pre‐operative assessment clinics. Anaesthesia. 71(S1). 3–8. 11 indexed citations
12.
Swart, M., et al.. (2007). Enteral drugs given through a central venous catheter. Anaesthesia. 62(6). 624–626. 5 indexed citations
13.
Carlisle, J. B. & M. Swart. (2007). Mid-term survival after abdominal aortic aneurysm surgery predicted by cardiopulmonary exercise testing. British journal of surgery. 94(8). 966–969. 161 indexed citations
14.
Barrington, J. W., et al.. (2002). Plasma lidocaine concentrations following insertion of 2% lidocaine gel into the uterine cavity after uterine balloon thermal ablation. British Journal of Anaesthesia. 89(6). 846–848. 11 indexed citations
15.
Taylor, Stephen J., et al.. (1999). Effects of low‐dose isoflurane on saccadic eye movement generation. Anaesthesia. 54(2). 142–145. 7 indexed citations
16.
Gupta, Arun Kumar, Peter J. Hutchinson, Pippa G. Al-Rawi, et al.. (1999). Measuring Brain Tissue Oxygenation Compared with Jugular Venous Oxygen Saturation for Monitoring Cerebral Oxygenation After Traumatic Brain Injury. Anesthesia & Analgesia. 88(3). 549–553. 109 indexed citations
17.
Gupta, Arun Kumar, Peter J. Hutchinson, Pippa G. Al-Rawi, et al.. (1999). Measuring Brain Tissue Oxygenation Compared with Jugular Venous Oxygen Saturation for Monitoring Cerebral Oxygenation After Traumatic Brain Injury. Survey of Anesthesiology. 43(6). 328–328. 3 indexed citations
18.
Gupta, Arun Kumar, Peter J. Hutchinson, Pippa G. Al-Rawi, et al.. (1999). Measuring Brain Tissue Oxygenation Compared with Jugular Venous Oxygen Saturation for Monitoring Cerebral Oxygenation After Traumatic Brain Injury. Anesthesia & Analgesia. 88(3). 549–553. 70 indexed citations
19.
Taylor, Simon, et al.. (1998). Effects of a low concentration of isoflurane on contrast sensitivity in volunteers. British Journal of Anaesthesia. 81(2). 176–179. 4 indexed citations
20.
Swart, M., Justin L. Sewell, & Dominique Thomas. (1997). Intrathecal morphine for Caesarean section: an assessment of pain relief, satisfaction and side‐effects. Anaesthesia. 52(4). 373–377. 84 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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