Pär Hallberg

2.7k total citations
62 papers, 1.1k citations indexed

About

Pär Hallberg is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Oncology. According to data from OpenAlex, Pär Hallberg has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 10 papers in Genetics and 9 papers in Oncology. Recurrent topics in Pär Hallberg's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers), Atrial Fibrillation Management and Outcomes (6 papers) and Bone health and osteoporosis research (6 papers). Pär Hallberg is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers), Atrial Fibrillation Management and Outcomes (6 papers) and Bone health and osteoporosis research (6 papers). Pär Hallberg collaborates with scholars based in Sweden, United Kingdom and Spain. Pär Hallberg's co-authors include Håkan Melhus, Karl Michaëlsson, Mia Wadelius, Anders Sundström, Niclas Eriksson, Lisa Kurland, Lars Lind, Thomas Kahan, Karin Malmqvist and K. Peter Öhman and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and Journal of Bone and Mineral Research.

In The Last Decade

Pär Hallberg

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pär Hallberg Sweden 18 279 192 159 148 148 62 1.1k
Minkyung Oh South Korea 19 113 0.4× 128 0.7× 60 0.4× 128 0.9× 157 1.1× 94 1.2k
Stephanie Ross Canada 20 240 0.9× 64 0.3× 116 0.7× 76 0.5× 379 2.6× 39 1.7k
Lynda V. Wilton United Kingdom 23 110 0.4× 84 0.4× 115 0.7× 71 0.5× 81 0.5× 48 1.2k
Minh Duong-Hua Canada 9 172 0.6× 95 0.5× 75 0.5× 239 1.6× 200 1.4× 11 877
Simon Sanderson United Kingdom 11 211 0.8× 221 1.2× 92 0.6× 59 0.4× 109 0.7× 18 1.0k
Fakhredin A. Sayed‐Tabatabaei Netherlands 20 578 2.1× 49 0.3× 131 0.8× 78 0.5× 388 2.6× 31 1.6k
Rebekka Sterchi Switzerland 6 217 0.8× 113 0.6× 109 0.7× 51 0.3× 31 0.2× 6 1.4k
Mark Eijgelsheim Netherlands 19 657 2.4× 142 0.7× 51 0.3× 92 0.6× 111 0.8× 36 1.3k
Suzanne Lemler United States 11 85 0.3× 433 2.3× 63 0.4× 664 4.5× 192 1.3× 11 1.6k
Gary Ko Hong Kong 23 262 0.9× 42 0.2× 144 0.9× 147 1.0× 559 3.8× 51 1.6k

Countries citing papers authored by Pär Hallberg

Since Specialization
Citations

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

Fields of papers citing papers by Pär Hallberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pär Hallberg

This figure shows the co-authorship network connecting the top 25 collaborators of Pär Hallberg. A scholar is included among the top collaborators of Pär Hallberg 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 Pär Hallberg. Pär Hallberg 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.
Larsson, Anders, et al.. (2025). New Monitoring Recommendations for Digoxin During the Last Decade Are Associated With Decreased Serum Digoxin Concentrations in Patient Samples. Basic & Clinical Pharmacology & Toxicology. 137(2). e70083–e70083.
2.
Yalçınkaya, Ahmet, Marco Cavalli, Maribel Aranda‐Guillén, et al.. (2024). Autoantibodies to protein S may explain rare cases of coagulopathy following COVID-19 vaccination. Scientific Reports. 14(1). 24512–24512. 2 indexed citations
3.
Zhou, Wei, Catherine Shore‐Lorenti, Hanh H. Nguyen, et al.. (2024). Gene-based association analysis of a large patient cohort provides insights into genetics of atypical femur fractures. Journal of Bone and Mineral Research. 39(9). 1315–1326. 1 indexed citations
4.
Yalçınkaya, Ahmet, Marco Cavalli, Maribel Aranda‐Guillén, et al.. (2024). No link between type I interferon autoantibody positivity and adverse reactions to COVID-19 vaccines. npj Vaccines. 9(1). 42–42. 7 indexed citations
5.
Eriksson, Niclas, et al.. (2023). Identification of risk factors for adverse drug reactions in a pharmacovigilance database. Pharmacoepidemiology and Drug Safety. 32(12). 1431–1438.
6.
Rudin, Deborah, Luisa Ibáñez, Evangelia Liakoni, et al.. (2020). Genome-Wide Association Study of Metamizole-Induced Agranulocytosis in European Populations. Genes. 11(11). 1275–1275. 8 indexed citations
7.
Rudin, Deborah, Luisa Ibáñez, Evangelia Liakoni, et al.. (2020). High-Throughput Sequencing to Investigate Associations Between HLA Genes and Metamizole-Induced Agranulocytosis. Frontiers in Genetics. 11. 951–951. 3 indexed citations
8.
Nicoletti, Paola, Guruprasad P. Aithal, Thomas C. Chamberlain, et al.. (2019). Drug‐Induced Liver Injury due to Flucloxacillin: Relevance of Multiple Human Leukocyte Antigen Alleles. Clinical Pharmacology & Therapeutics. 106(1). 245–253. 66 indexed citations
9.
Hallberg, Pär, et al.. (2018). Clinical factors predicting drug-induced liver injury due to flucloxacillin. Drug Healthcare and Patient Safety. Volume 10. 95–101. 9 indexed citations
10.
Hallberg, Pär, et al.. (2017). Preventivt arbete kan minska läkemedelsbiverkningar. Läkartidningen. 114.
11.
Michaëlsson, Karl, et al.. (2017). Lateral fixation: an alternative surgical approach in the prevention of complete atypical femoral fractures. European Journal of Orthopaedic Surgery & Traumatology. 28(2). 299–304. 10 indexed citations
12.
Kowalec, Kaarina, Galen E.B. Wright, Britt I. Drögemöller, et al.. (2016). Genome-wide scan identifies association between an interferon regulatory factor-related variant and interferon-beta induced liver injury in multiple sclerosis patients. Multiple Sclerosis Journal. 22(3). 834–836. 1 indexed citations
13.
Hallberg, Pär, et al.. (2014). Identification of risk factors for carbamazepine-induced serious mucocutaneous adverse reactions: A case-control study using data from spontaneous adverse drug reaction reports. Journal of Pharmacology and Pharmacotherapeutics. 5(2). 100–138. 6 indexed citations
14.
Schubert, Jessica, et al.. (2012). Risk Factors for Carbamazepine Induced Serious Skin Reactions. Pharmacoepidemiology and Drug Safety. 21. 441–441. 1 indexed citations
15.
Sundström, Anders, et al.. (2010). A signal for an abuse liability for pregabalin—results from the Swedish spontaneous adverse drug reaction reporting system. European Journal of Clinical Pharmacology. 66(9). 947–953. 129 indexed citations
16.
Hallberg, Pär, et al.. (2008). Är något SSRI-preparat att föredra vad gäller sexuella biverkningar?. Läkartidningen. 1949–1949. 1 indexed citations
17.
Holmström, B & Pär Hallberg. (2006). Antibiotikabehandling vid kronisk prostatit saknar i princip evidens. Läkartidningen. 3822–3828. 1 indexed citations
18.
Hallberg, Pär, et al.. (2005). The Use of Selective Serotonin Reuptake Inhibitors During Pregnancy and Breast-feeding. Journal of Clinical Psychopharmacology. 25(1). 59–73. 79 indexed citations
19.
20.
Hallberg, Pär, Lars Lind, Karl Michaëlsson, et al.. (2003). B2 bradykinin receptor (B2BKR) polymorphism and change in left ventricular mass in response to antihypertensive treatment. Journal of Hypertension. 21(3). 621–624. 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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