Jonas Spaak

5.6k total citations
101 papers, 2.0k citations indexed

About

Jonas Spaak is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Jonas Spaak has authored 101 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cardiology and Cardiovascular Medicine, 17 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Physiology. Recurrent topics in Jonas Spaak's work include Acute Myocardial Infarction Research (22 papers), Cardiac Imaging and Diagnostics (15 papers) and Heart Failure Treatment and Management (14 papers). Jonas Spaak is often cited by papers focused on Acute Myocardial Infarction Research (22 papers), Cardiac Imaging and Diagnostics (15 papers) and Heart Failure Treatment and Management (14 papers). Jonas Spaak collaborates with scholars based in Sweden, United Kingdom and Norway. Jonas Spaak's co-authors include Tomas Jernberg, John S. Floras, Stefan H. Jacobson, T. Douglas Bradley, Claes Hofman‐Bang, Toshihiko Kubo, Yasuyuki Kaneko, Kengo Usui, Dag Linnarsson and Patrik Sundblad and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Jonas Spaak

95 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jonas Spaak	1.1k	532	275	262	253	101	2.0k
Takayoshi Yamaki	1.2k 1.1×	556 1.0×	215 0.8×	567 2.2×	172 0.7×	126	2.2k
Kyriakos Dimitriadis	1.7k 1.5×	447 0.8×	93 0.3×	303 1.2×	202 0.8×	231	2.8k
James Oliver	1.3k 1.1×	526 1.0×	71 0.3×	354 1.4×	220 0.9×	22	2.5k
Carla Sala	2.6k 2.3×	305 0.6×	158 0.6×	432 1.6×	455 1.8×	183	3.4k
Yuichiro Yano	2.9k 2.6×	407 0.8×	195 0.7×	344 1.3×	150 0.6×	203	4.3k
Vasilios Kotsis	2.2k 2.0×	566 1.1×	131 0.5×	377 1.4×	134 0.5×	151	4.1k
Akiomi Yoshihisa	1.7k 1.5×	756 1.4×	273 1.0×	791 3.0×	156 0.6×	210	3.0k
Joji Ishikawa	3.0k 2.7×	429 0.8×	165 0.6×	333 1.3×	173 0.7×	159	3.9k
Takamasa Sato	1.0k 0.9×	353 0.7×	97 0.4×	308 1.2×	81 0.3×	102	1.7k
Naoyuki Takashima	796 0.7×	172 0.3×	136 0.5×	168 0.6×	111 0.4×	43	1.6k

Countries citing papers authored by Jonas Spaak

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Spaak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Spaak

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Spaak. A scholar is included among the top collaborators of Jonas Spaak 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 Jonas Spaak. Jonas Spaak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Theorell‐Haglöw, Jenny, Martin Ulander, John Brandberg, et al.. (2025). What are the important risk factors for excessive daytime sleepiness in a population‐based cohort?. Journal of Sleep Research. 34(4). e14449–e14449. 2 indexed citations

Spaak, Jonas, Sabine Koch, Carl Johan Sundberg, et al.. (2025). Patient Perspectives on Digital Technology and Experiences of Computerized History-Taking for Chest Pain Management in the Emergency Department: CLEOS-CPDS Prospective Cohort Study. JMIR Medical Informatics. 13. e65568–e65568.

Svensson, Per, Ewa Ehrenborg, Jonas Spaak, et al.. (2024). Familial risk of myocardial infarction with non-obstructive and obstructive coronary arteries: a nation-wide cohort study. European Journal of Preventive Cardiology. 32(8). 671–679.

Rafiq, Muhammad, et al.. (2024). Predictive analytics support for complex chronic medical conditions: An experience-based co-design study of physician managers’ needs and preferences. International Journal of Medical Informatics. 187. 105447–105447. 2 indexed citations

Evans, Marie, Håkan Wallén, Tomas Jernberg, et al.. (2024). Associations between inflammatory and angiogenic proteomic biomarkers, and cardiovascular events and mortality in relation to kidney function. Clinical Kidney Journal. 17(3). sfae050–sfae050. 2 indexed citations

Sundberg, Carl Johan, et al.. (2024). Are medical history data fit for risk stratification of patients with chest pain in emergency care? Comparing data collected from patients using computerized history taking with data documented by physicians in the electronic health record in the CLEOS-CPDS prospective cohort study. Journal of the American Medical Informatics Association. 31(7). 1529–1539. 4 indexed citations

Lindahl, Bertil, et al.. (2024). Global longitudinal strain in long-term risk prediction after acute coronary syndrome: an investigation of added prognostic value to ejection fraction. Clinical Research in Cardiology. 114(6). 709–718.

Sundberg, Carl Johan, et al.. (2024). Performance of computerized self-reported medical history taking and HEAR score for safe early rule-out of cardiac events in acute chest pain patients: the CLEOS-CPDS prospective cohort study. European Heart Journal - Digital Health. 6(1). 104–114. 1 indexed citations

Hjort, Marcus, Stefan Agewall, Olov Collste, et al.. (2023). Helicobacter pylori and Pro-Inflammatory Protein Biomarkers in Myocardial Infarction with and without Obstructive Coronary Artery Disease. International Journal of Molecular Sciences. 24(18). 14143–14143. 5 indexed citations

10.

Sundberg, Kay, Jonas Spaak, Sabine Koch, et al.. (2022). User experience of self‐reported computerized medical history taking for acute chest pain: The Clinical Expert Operating System Chest Pain Danderyd Study. Health Expectations. 25(6). 3053–3061. 5 indexed citations

11.

Lindahl, Bertil, Per Karlsson, Gorav Batra, et al.. (2022). Reliability of estimating left ventricular ejection fraction in clinical routine: a validation study of the SWEDEHEART registry. Clinical Research in Cardiology. 112(1). 68–74. 8 indexed citations

12.

Spaak, Jonas, et al.. (2021). Pathophysiology of Sleep Disordered Breathing. 65. 1 indexed citations

13.

Sundberg, Carl Johan, et al.. (2021). Use of Self-Reported Computerized Medical History Taking for Acute Chest Pain in the Emergency Department – the Clinical Expert Operating System Chest Pain Danderyd Study (CLEOS-CPDS): Prospective Cohort Study. Journal of Medical Internet Research. 23(4). e25493–e25493. 11 indexed citations

14.

Edfors, Robert, Lars Lindhagen, Jonas Spaak, et al.. (2020). Use of proteomics to identify biomarkers associated with chronic kidney disease and long‐term outcomes in patients with myocardial infarction. Journal of Internal Medicine. 288(5). 581–592. 8 indexed citations

15.

Kahan, Thomas, Jonas Spaak, Kay Sundberg, et al.. (2020). A prospective cohort study of self-reported computerised medical history taking for acute chest pain: protocol of the CLEOS-Chest Pain Danderyd Study (CLEOS-CPDS). BMJ Open. 10(1). e031871–e031871. 11 indexed citations

16.

Keel, George, Carl Savage, Jonas Spaak, et al.. (2020). Time-driven activity-based costing for patients with multiple chronic conditions: a mixed-method study to cost care in a multidisciplinary and integrated care delivery centre at a university-affiliated tertiary teaching hospital in Stockholm, Sweden. BMJ Open. 10(6). e032573–e032573. 12 indexed citations

17.

Rondung, Elisabet, Fredrika Norlund, Örjan Sundin, et al.. (2020). Designing a Web-Based Psychological Intervention for Patients With Myocardial Infarction With Nonobstructive Coronary Arteries: User-Centered Design Approach. Journal of Medical Internet Research. 22(9). e19066–e19066. 5 indexed citations

18.

Rafiq, Muhammad, George Keel, Pamela Mazzocato, et al.. (2019). <p>Extreme Consumers of Health Care: Patterns of Care Utilization in Patients with Multiple Chronic Conditions Admitted to a Novel Integrated Clinic</p>. Journal of Multidisciplinary Healthcare. Volume 12. 1075–1083. 9 indexed citations

19.

Edfors, Robert, Anders Sahlén, Karolina Szummer, et al.. (2018). Outcomes in patients treated with ticagrelor versus clopidogrel after acute myocardial infarction stratified by renal function. Heart. 104(19). 1575–1582. 27 indexed citations

20.

Spaak, Jonas, Toshihiko Kubo, Eric Yu, et al.. (2005). Muscle Sympathetic Nerve Activity During Wakefulness in Heart Failure Patients With and Without Sleep Apnea. Hypertension. 46(6). 1327–1332. 149 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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