Alexander Bonde

554 total citations
21 papers, 260 citations indexed

About

Alexander Bonde is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alexander Bonde has authored 21 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alexander Bonde's work include Artificial Intelligence in Healthcare and Education (4 papers), Trauma and Emergency Care Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Alexander Bonde is often cited by papers focused on Artificial Intelligence in Healthcare and Education (4 papers), Trauma and Emergency Care Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Alexander Bonde collaborates with scholars based in Denmark, United States and Sweden. Alexander Bonde's co-authors include Martin Sillesen, Anders Troelsen, Kartik M. Varadarajan, Haytham M.A. Kaafarani, April E. Mendoza, Henrik Malchau, Orhun K. Muratoglu, Hasan B. Alam, Anthony D. Yang and George C. Velmahos and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Journal of Surgery.

In The Last Decade

Alexander Bonde

18 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Bonde Denmark 7 161 78 64 36 36 21 260
Sullivan A. Ayuso United States 13 300 1.9× 48 0.6× 20 0.3× 85 2.4× 32 0.9× 53 384
Sharbel A. Elhage United States 14 368 2.3× 73 0.9× 32 0.5× 98 2.7× 23 0.6× 37 452
Rory Cuthbert United Kingdom 7 186 1.2× 21 0.3× 72 1.1× 13 0.4× 39 1.1× 16 287
Bo Seung Kang South Korea 12 93 0.6× 26 0.3× 72 1.1× 57 1.6× 8 0.2× 36 285
Mudathir Ibrahim United States 10 86 0.5× 38 0.5× 18 0.3× 88 2.4× 16 0.4× 25 204
Jessica L. Churchill United States 12 244 1.5× 93 1.2× 15 0.2× 26 0.7× 20 0.6× 31 355
Shlomi Rayman Israel 11 227 1.4× 27 0.3× 108 1.7× 60 1.7× 5 0.1× 37 304
Kyriakos Spiliopoulos Greece 12 139 0.9× 161 2.1× 25 0.4× 94 2.6× 7 0.2× 47 316
Stephen M. Engstrom United States 9 267 1.7× 49 0.6× 8 0.1× 14 0.4× 134 3.7× 18 424
Calvin Huang United States 11 92 0.6× 43 0.6× 56 0.9× 47 1.3× 4 0.1× 33 281

Countries citing papers authored by Alexander Bonde

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Bonde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Bonde

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Bonde. A scholar is included among the top collaborators of Alexander Bonde 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 Alexander Bonde. Alexander Bonde 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.
Bonde, Alexander, et al.. (2024). Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients. PLoS ONE. 19(12). e0316402–e0316402. 2 indexed citations
2.
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Bonde, Alexander, et al.. (2024). Assessing the utility of deep neural networks in detecting superficial surgical site infections from free text electronic health record data. Frontiers in Digital Health. 5. 1249835–1249835. 7 indexed citations
5.
Christensen, Mathias A., Alexander Bonde, Simon Rasmussen, et al.. (2024). An assessment of the value of deep neural networks in genetic risk prediction for surgically relevant outcomes. PLoS ONE. 19(7). e0294368–e0294368.
6.
Christensen, Mathias A., Alexander Bonde, & Martin Sillesen. (2023). Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS). Frontiers in Cardiovascular Medicine. 10. 3 indexed citations
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Bonde, Alexander, et al.. (2023). Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients. Scientific Reports. 13(1). 5176–5176. 4 indexed citations
9.
Bonde, Alexander, Kartik M. Varadarajan, Anders Troelsen, et al.. (2021). Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study. The Lancet Digital Health. 3(8). e471–e485. 61 indexed citations
10.
Bonde, Alexander, et al.. (2021). Postoperative complications: an observational study of trends in the United States from 2012 to 2018. BMC Surgery. 21(1). 393–393. 77 indexed citations
11.
Bonde, Alexander, Trine G. Eskesen, Jacob Steinmetz, et al.. (2021). Hemorrhage and saline resuscitation are associated with epigenetic and proteomic reprogramming in the rat lung. Injury. 52(8). 2095–2103. 1 indexed citations
12.
Bonde, Alexander, et al.. (2021). Assessment of post-trauma complications in eight million trauma cases over a decade in the USA. Trauma Surgery & Acute Care Open. 6(1). e000667–e000667. 8 indexed citations
13.
Peponis, Thomas, Jae Moo Lee, Majed El Hechi, et al.. (2020). Gallbladder wall thickness as a predictor of intraoperative events during laparoscopic cholecystectomy: A prospective study of 1089 patients. The American Journal of Surgery. 220(4). 1031–1037. 10 indexed citations
14.
Bonde, Alexander, Apostolos Gaitanidis, Kerry Breen, et al.. (2020). Identification of a new genetic variant associated with cholecystitis: A multicenter genome-wide association study. The Journal of Trauma: Injury, Infection, and Critical Care. 89(1). 173–178. 1 indexed citations
15.
Hechi, Majed El, Charlie J. Nederpelt, Napaporn Kongkaewpaisan, et al.. (2019). Contemporary management of penetrating renal trauma - A national analysis. Injury. 51(1). 32–38. 4 indexed citations
16.
Lee, Jae Moo, Majed El Hechi, Napaporn Kongkaewpaisan, et al.. (2019). Hartmann’s Procedure vs Primary Anastomosis with Diverting Loop Ileostomy for Acute Diverticulitis: Nationwide Analysis of 2,729 Emergency Surgery Patients. Journal of the American College of Surgeons. 229(1). 48–55. 53 indexed citations
17.
Bonde, Alexander, et al.. (2019). Bilateral internal iliac artery embolization for pelvic trauma: Effectiveness and safety. The American Journal of Surgery. 220(2). 454–458. 13 indexed citations
18.
Hechi, Majed W. El, Jawad M. Khalifeh, Elie P. Ramly, et al.. (2019). Refugee Access to Surgical Care in Lebanon: A Post Hoc Analysis of the SCAR Study. Journal of Surgical Research. 240. 175–181. 5 indexed citations
19.
Bonde, Alexander, et al.. (2018). The effect of fluid resuscitation strategy on monocyte and T-cell surface markers. Journal of Surgical Research. 230. 20–27.
20.
Bonde, Alexander, et al.. (2017). The effect of resuscitation strategy on the longitudinal immuno-inflammatory response to blunt trauma. Injury. 48(12). 2670–2674. 1 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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