Malin Stenman

427 total citations
23 papers, 269 citations indexed

About

Malin Stenman is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Malin Stenman has authored 23 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 8 papers in Critical Care and Intensive Care Medicine and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Malin Stenman's work include Cardiac Health and Mental Health (14 papers), Cardiac, Anesthesia and Surgical Outcomes (12 papers) and Intensive Care Unit Cognitive Disorders (8 papers). Malin Stenman is often cited by papers focused on Cardiac Health and Mental Health (14 papers), Cardiac, Anesthesia and Surgical Outcomes (12 papers) and Intensive Care Unit Cognitive Disorders (8 papers). Malin Stenman collaborates with scholars based in Sweden, Norway and Austria. Malin Stenman's co-authors include Ulrik Sartipy, Martin J. Holzmann, Rebecka Hultgren, Carolin Nymark, Joy Roy, Karin Leander, Grethe Albrektsen, Erney Mattsson, Vibeke Videm and Mats Eriksson and has published in prestigious journals such as The American Journal of Cardiology, British journal of surgery and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Malin Stenman

23 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malin Stenman Sweden 10 189 75 44 44 38 23 269
Monika Sadlonova Germany 9 78 0.4× 47 0.6× 17 0.4× 9 0.2× 21 0.6× 29 204
Sailan Li China 10 85 0.4× 102 1.4× 9 0.2× 83 1.9× 14 0.4× 44 293
Balkrishna Bhattarai Nepal 11 64 0.3× 28 0.4× 52 1.2× 56 1.3× 8 0.2× 41 323
Núbia Verçosa Brazil 10 78 0.4× 16 0.2× 31 0.7× 75 1.7× 28 0.7× 31 302
Rokas Šerpytis Lithuania 7 119 0.6× 20 0.3× 15 0.3× 9 0.2× 8 0.2× 11 187
Mari Takeuchi Japan 6 37 0.2× 146 1.9× 11 0.3× 25 0.6× 7 0.2× 10 213
M. Wang United Kingdom 6 119 0.6× 39 0.5× 10 0.2× 13 0.3× 4 0.1× 7 237
Ian Barker United Kingdom 12 79 0.4× 37 0.5× 12 0.3× 33 0.8× 27 0.7× 31 362
Elena Arnaoutoglou Greece 5 78 0.4× 19 0.3× 69 1.6× 74 1.7× 8 0.2× 10 245
Annery G. García‐Marcinkiewicz United States 7 31 0.2× 12 0.2× 10 0.2× 43 1.0× 14 0.4× 22 151

Countries citing papers authored by Malin Stenman

Since Specialization
Citations

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

Fields of papers citing papers by Malin Stenman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malin Stenman

This figure shows the co-authorship network connecting the top 25 collaborators of Malin Stenman. A scholar is included among the top collaborators of Malin Stenman 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 Malin Stenman. Malin Stenman 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.
Stenman, Malin, et al.. (2025). Beyond the Heart: The Significance of Depression in Cardiac Surgery. European Journal of Cardio-Thoracic Surgery. 67(8). 1 indexed citations
2.
Olsson, Christian, et al.. (2024). Early clinical outcomes in men and women undergoing proximal thoracic aortic surgery: A Swedish population-based cohort study. Journal of Thoracic and Cardiovascular Surgery. 170(3). 678–686. 2 indexed citations
3.
4.
Nymark, Carolin, et al.. (2024). Registered nurses’ experiences of caring for patients with hypoactive delirium after cardiac surgery − A qualitative study. Intensive and Critical Care Nursing. 84. 103757–103757. 1 indexed citations
5.
Stenman, Malin, et al.. (2023). Women with large intact abdominal aortic aneurysms remain untreated. Journal of Vascular Surgery. 78(3). 657–667.e5. 1 indexed citations
6.
Stenman, Malin, et al.. (2023). Suffering in silence – Cardiac surgery patients recalling hypoactive delirium a qualitative descriptive study. Intensive and Critical Care Nursing. 79. 103493–103493. 4 indexed citations
7.
8.
Nymark, Carolin, et al.. (2022). Depression is associated with delirium after cardiac surgery—a population-based cohort study. Interactive Cardiovascular and Thoracic Surgery. 35(2). 12 indexed citations
9.
Stenman, Malin, et al.. (2021). A randomized clinical trial of an eHealth intervention on anxiety in patients undergoing abdominal aortic aneurysm surgery. British journal of surgery. 108(8). 917–924. 10 indexed citations
10.
Stenman, Malin, et al.. (2021). Sex Differences in Rupture Risk and Mortality in Untreated Patients With Intact Abdominal Aortic Aneurysms. Journal of the American Heart Association. 10(5). e019592–e019592. 21 indexed citations
11.
Nymark, Carolin, et al.. (2020). Depression as a predictor of postoperative delirium after cardiac surgery: a systematic review and meta-analysis. Interactive Cardiovascular and Thoracic Surgery. 32(3). 371–379. 17 indexed citations
12.
Eriksson, Mats, et al.. (2020). Depressive and/or anxiety scoring instruments used as screening tools for predicting postoperative delirium after cardiac surgery: A pilot study. Intensive and Critical Care Nursing. 59. 102851–102851. 5 indexed citations
13.
Stenman, Malin, et al.. (2019). Symptoms of Depression and Risk of Abdominal Aortic Aneurysm: A HUNT Study. Journal of the American Heart Association. 8(21). e012535–e012535. 17 indexed citations
14.
Stenman, Malin & Ulrik Sartipy. (2019). Longitudinal changes in depression screening results in cardiac surgery patients. Journal of Thoracic Disease. 11(3). 920–926. 3 indexed citations
15.
Stenman, Malin & Ulrik Sartipy. (2018). Depression Screening in Cardiac Surgery Patients. Heart Lung and Circulation. 28(6). 953–958. 19 indexed citations
16.
Stenman, Malin, Martin J. Holzmann, & Ulrik Sartipy. (2016). Association between preoperative depression and long-term survival following coronary artery bypass surgery — A systematic review and meta-analysis. International Journal of Cardiology. 222. 462–466. 55 indexed citations
17.
Stenman, Malin, Martin J. Holzmann, & Ulrik Sartipy. (2015). Do socioeconomic factors modify the association between preoperative antidepressant use and survival following coronary artery bypass surgery?. International Journal of Cardiology. 198. 206–212. 6 indexed citations
18.
Stenman, Malin, Martin J. Holzmann, & Ulrik Sartipy. (2014). Relation of Major Depression to Survival After Coronary Artery Bypass Grafting. The American Journal of Cardiology. 114(5). 698–703. 57 indexed citations
19.
Stenman, Malin, Martin J. Holzmann, & Ulrik Sartipy. (2014). Guideline-directed medical therapy for secondary prevention after coronary artery bypass grafting in patients with depression. PubMed. 3. 37–42. 2 indexed citations
20.
Stenman, Malin, Martin J. Holzmann, & Ulrik Sartipy. (2012). Antidepressant use before coronary artery bypass surgery is associated with long-term mortality. International Journal of Cardiology. 167(6). 2958–2962. 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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