Johan Herlitz

39.0k total citations · 8 hit papers
581 papers, 22.9k citations indexed

About

Johan Herlitz is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine and Surgery. According to data from OpenAlex, Johan Herlitz has authored 581 papers receiving a total of 22.9k indexed citations (citations by other indexed papers that have themselves been cited), including 316 papers in Cardiology and Cardiovascular Medicine, 314 papers in Emergency Medicine and 75 papers in Surgery. Recurrent topics in Johan Herlitz's work include Cardiac Arrest and Resuscitation (266 papers), Acute Myocardial Infarction Research (155 papers) and Emergency and Acute Care Studies (123 papers). Johan Herlitz is often cited by papers focused on Cardiac Arrest and Resuscitation (266 papers), Acute Myocardial Infarction Research (155 papers) and Emergency and Acute Care Studies (123 papers). Johan Herlitz collaborates with scholars based in Sweden, United States and Norway. Johan Herlitz's co-authors include Thomas Karlsson, Stig Holmberg, Leif Svensson, Johan Engdahl, Angela Bång, Jonny Lindqvist, Marianne Hartford, Åke Hjalmarson, Anders Waldenström and Hans Wedel and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Johan Herlitz

566 papers receiving 21.7k citations

Hit Papers

Indications for fibrinoly... 1981 2026 1996 2011 1994 1995 1981 2005 2005 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Johan Herlitz 11.3k 10.3k 4.0k 2.5k 2.5k 581 22.9k
Graham Nichol 14.2k 1.3× 8.7k 0.8× 4.6k 1.1× 4.2k 1.6× 2.5k 1.0× 245 24.3k
Gunnar Gislason 3.5k 0.3× 15.7k 1.5× 5.4k 1.3× 1.2k 0.5× 4.2k 1.7× 926 31.4k
Charles Maynard 2.7k 0.2× 8.1k 0.8× 4.9k 1.2× 1.5k 0.6× 2.8k 1.1× 422 18.9k
Ian G. Stiell 13.2k 1.2× 5.7k 0.6× 8.2k 2.1× 2.4k 1.0× 4.1k 1.7× 471 29.0k
Joel M. Gore 2.9k 0.3× 18.2k 1.8× 7.1k 1.8× 2.2k 0.9× 2.1k 0.8× 376 23.5k
Paul S. Chan 6.2k 0.6× 5.2k 0.5× 2.6k 0.7× 1.8k 0.7× 1.9k 0.8× 298 13.1k
George Sopko 2.7k 0.2× 13.6k 1.3× 7.2k 1.8× 1.6k 0.6× 1.6k 0.6× 266 20.4k
Bárbara Riegel 2.2k 0.2× 16.6k 1.6× 2.8k 0.7× 950 0.4× 4.2k 1.7× 495 26.4k
Frederick A. Masoudi 2.2k 0.2× 23.5k 2.3× 5.3k 1.3× 1.9k 0.8× 3.9k 1.6× 476 34.5k
Adrian F. Hernandez 3.1k 0.3× 26.2k 2.5× 6.3k 1.6× 2.5k 1.0× 7.8k 3.2× 899 42.2k

Countries citing papers authored by Johan Herlitz

Since Specialization
Citations

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

Fields of papers citing papers by Johan Herlitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Herlitz

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Herlitz. A scholar is included among the top collaborators of Johan Herlitz 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 Johan Herlitz. Johan Herlitz 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
2.
Rawshani, Araz, Truls Råmunddal, Björn Redfors, et al.. (2023). Characteristics, survival and neurological outcome in out-of-hospital cardiac arrest in young adults in Sweden: A nationwide study. Resuscitation Plus. 16. 100503–100503. 3 indexed citations
3.
Lingman, Markus, et al.. (2022). The potential of new prediction models for emergency medical dispatch prioritisation of patients with chest pain: a cohort study. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 30(1). 34–34. 6 indexed citations
4.
Rawshani, Aidin, Kristofer Skoglund, Niklas Bergh, et al.. (2022). Predicting recurrent cardiac arrest in individuals surviving Out-of-Hospital cardiac arrest. Resuscitation. 184. 109678–109678. 4 indexed citations
5.
Lingman, Markus, et al.. (2022). Clinical presentation in EMS patients with acute chest pain in relation to sex, age and medical history: prospective cohort study. BMJ Open. 12(8). e054622–e054622. 3 indexed citations
6.
Lingman, Markus, et al.. (2021). Guideline adherence among prehospital emergency nurses when caring for patients with chest pain: a prospective cohort study. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 29(1). 157–157. 6 indexed citations
7.
Lindahl, Bertil, Johan Herlitz, Joakim Alfredsson, et al.. (2021). Poor long‐term prognosis in patients admitted with strong suspicion of acute myocardial infarction but discharged with another diagnosis. Journal of Internal Medicine. 290(2). 359–372. 2 indexed citations
8.
9.
Alfredsson, Joakim, Stefan James, David Erlinge, et al.. (2021). Randomized comparison of early supplemental oxygen versus ambient air in patients with confirmed myocardial infarction: Sex-related outcomes from DETO2X-AMI. American Heart Journal. 237. 13–24. 2 indexed citations
10.
Thorén, Anna, Araz Rawshani, Johan Herlitz, et al.. (2020). ECG-monitoring of in-hospital cardiac arrest and factors associated with survival. Resuscitation. 150. 130–138. 25 indexed citations
11.
Djärv, Therese, Anders Bremer, Johan Herlitz, et al.. (2020). Health-related quality of life after surviving an out-of-hospital compared to an in-hospital cardiac arrest: A Swedish population-based registry study. Resuscitation. 151. 77–84. 32 indexed citations
12.
Nyström, Thomas, Stefan James, Bertil Lindahl, et al.. (2019). Oxygen Therapy in Myocardial Infarction Patients With or Without Diabetes: A Predefined Subgroup Analysis From the DETO2X-AMI Trial. Diabetes Care. 42(11). 2032–2041. 5 indexed citations
13.
Göransson, Katarina E., Sune Forsberg, Matteo Bottai, et al.. (2019). Prearrest prediction of favourable neurological survival following in-hospital cardiac arrest: The Prediction of outcome for In-Hospital Cardiac Arrest (PIHCA) score. Resuscitation. 143. 92–99. 23 indexed citations
14.
Herlitz, Johan, et al.. (2019). Symptom description in patients with chest pain—A qualitative analysis of emergency medical calls involving high‐risk conditions. Journal of Clinical Nursing. 28(15-16). 2844–2857. 6 indexed citations
17.
Herlitz, Johan, et al.. (2016). Prehospital factors associated with an acute life-threatening condition in non-traumatic chest pain patients — A systematic review. International Journal of Cardiology. 219. 373–379. 15 indexed citations
18.
Suserud, Björn‐Ove, et al.. (2011). Do the Right Patients use the Ambulance Service in South-Eastern Finland?. International Journal of Clinical Medicine. 2(5). 544–549. 3 indexed citations
19.
Herlitz, Johan, Solveig Aune, Andreas Claesson, & Leif Svensson. (2010). Epidemiology of cardiac arrest outside and inside hospital Experiences from registries in Sweden. Signa Vitae. 5(S1). 44–44. 4 indexed citations
20.
Rosenblad, Andreas, et al.. (2010). Hospital employees' theoretical knowledge on what to do in an in-hospital cardiac arrest. SHILAP Revista de lepidopterología. 12 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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