Annika M. Jödicke

541 total citations · 1 hit paper
25 papers, 198 citations indexed

About

Annika M. Jödicke is a scholar working on Pediatrics, Perinatology and Child Health, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Annika M. Jödicke has authored 25 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pediatrics, Perinatology and Child Health, 4 papers in Infectious Diseases and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Annika M. Jödicke's work include SARS-CoV-2 and COVID-19 Research (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Pharmaceutical studies and practices (3 papers). Annika M. Jödicke is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Pharmaceutical studies and practices (3 papers). Annika M. Jödicke collaborates with scholars based in United Kingdom, Netherlands and Spain. Annika M. Jödicke's co-authors include Daniel Prieto‐Alhambra, Antonella Delmestri, Martí Català, Elena Roel, Nhung TH Trinh, Talita Duarte‐Salles, Hedvig Nordeng, Raivo Kolde, Anneli Uusküla and Edward Burn and has published in prestigious journals such as Nature Communications, Journal of Bone and Mineral Research and International Journal of Epidemiology.

In The Last Decade

Annika M. Jödicke

20 papers receiving 197 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The effectiveness of COVID-19 vaccines to prevent long COVID symptoms: staggered cohort study of data from the UK, Spain, and Estonia

2024 84 citations Martí Català, Raivo Kolde et al. The Lancet Respiratory Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annika M. Jödicke United Kingdom	8	79	75	26	22	20	25	198
Rubina Mulchandani India	6	117 1.5×	85 1.1×	18 0.7×	21 1.0×	7 0.3×	13	294
Grazia Mazzeo Italy	4	152 1.9×	101 1.3×	63 2.4×	54 2.5×	13 0.7×	4	328
Jonás Carmona‐Pírez Spain	9	81 1.0×	57 0.8×	26 1.0×	30 1.4×	39 1.9×	16	330
Bao Liu China	5	98 1.2×	75 1.0×	47 1.8×	23 1.0×	4 0.2×	12	302
ZhaoNian Zheng United States	9	56 0.7×	38 0.5×	18 0.7×	18 0.8×	20 1.0×	24	204
Jennifer Hadlock United States	7	69 0.9×	29 0.4×	39 1.5×	25 1.1×	20 1.0×	21	243
Aimen Vanood United States	7	191 2.4×	112 1.5×	110 4.2×	31 1.4×	9 0.5×	17	335
Daniel Rayner Canada	8	35 0.4×	27 0.4×	20 0.8×	9 0.4×	22 1.1×	34	167
Jacqueline A. Seiglie United States	11	104 1.3×	40 0.5×	44 1.7×	14 0.6×	22 1.1×	25	299

Countries citing papers authored by Annika M. Jödicke

Since Specialization

Citations

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

Fields of papers citing papers by Annika M. Jödicke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annika M. Jödicke. 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 Annika M. Jödicke. The network helps show where Annika M. Jödicke may publish in the future.

Co-authorship network of co-authors of Annika M. Jödicke

This figure shows the co-authorship network connecting the top 25 collaborators of Annika M. Jödicke. A scholar is included among the top collaborators of Annika M. Jödicke 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 Annika M. Jödicke. Annika M. Jödicke 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

Català, Martí, Edward Burn, Katia Verhamme, et al.. (2025). Secular Trends in the Use of Valproate‐Containing Medicines in Women of Childbearing Age in Europe: A Multinational DARWIN EU Network Study. Pharmacoepidemiology and Drug Safety. 34(10). e70232–e70232.

Xie, Junqing, Beatriz Mothe, Chunxiao Li, et al.. (2024). Relationship between HLA genetic variations, COVID-19 vaccine antibody response, and risk of breakthrough outcomes. Nature Communications. 15(1). 4031–4031. 8 indexed citations

Li, Xintong, Raivo Kolde, Nhung TH Trinh, et al.. (2024). The role of COVID-19 vaccines in preventing post-COVID-19 thromboembolic and cardiovascular complications. Heart. 110(9). 635–643. 20 indexed citations

Guo, Yuchen, Victoria Y. Strauss, Martí Català, et al.. (2024). Machine learning methods for propensity and disease risk score estimation in high-dimensional data: a plasmode simulation and real-world data cohort analysis. Frontiers in Pharmacology. 15. 1395707–1395707. 2 indexed citations

Jödicke, Annika M., Edward Burn, Maria de Ridder, et al.. (2024). Calculating daily dose in the Observational Medical Outcomes Partnership Common Data Model. Pharmacoepidemiology and Drug Safety. 33(6). e5809–e5809.

Barclay, Nicola L., Martí Català, Annika M. Jödicke, et al.. (2024). Collateral effects of the COVID-19 pandemic on endocrine treatments for breast and prostate cancer in the UK: a cohort study. Therapeutic Advances in Medical Oncology. 16. 12697851–12697851.

Barclay, Nicola L., Marta Pineda‐Moncusí, Annika M. Jödicke, et al.. (2024). The impact of the UK COVID-19 lockdown on the screening, diagnostics and incidence of breast, colorectal, lung and prostate cancer in the UK: a population-based cohort study. Frontiers in Oncology. 14. 1370862–1370862. 11 indexed citations

Català, Martí, Raivo Kolde, Nhung TH Trinh, et al.. (2024). The effectiveness of COVID-19 vaccines to prevent long COVID symptoms: staggered cohort study of data from the UK, Spain, and Estonia. The Lancet Respiratory Medicine. 12(3). 225–236. 84 indexed citations breakdown →

Kostka, Kristin, Elena Roel, Nhung TH Trinh, et al.. (2023). The burden of post-acute COVID-19 symptoms in a multinational network cohort analysis. Nature Communications. 14(1). 7449–7449. 9 indexed citations

10.

Jödicke, Annika M., et al.. (2023). Characterising complex health needs and the use of preventive therapies in the older population: a population-based cohort analysis of UK primary care and hospital linked data. BMC Geriatrics. 23(1). 58–58. 4 indexed citations

11.

Jödicke, Annika M., Eng Hooi Tan, Danielle E Robinson, Antonella Delmestri, & Daniel Prieto‐Alhambra. (2023). Risk of adverse events following the initiation of antihypertensives in older people with complex health needs: a self-controlled case series in the United Kingdom. Age and Ageing. 52(9). 3 indexed citations

12.

Català, Martí, Edward Burn, Trishna Rathod‐Mistry, et al.. (2023). Observational methods for COVID-19 vaccine effectiveness research: an empirical evaluation and target trial emulation. International Journal of Epidemiology. 53(1). 6 indexed citations

13.

Markus, Aniek F., Victoria Y. Strauss, Edward Burn, et al.. (2023). Characterising the treatment of thromboembolic events after COVID-19 vaccination in 4 European countries and the US: An international network cohort study. Frontiers in Pharmacology. 14. 1118203–1118203. 3 indexed citations

14.

Jödicke, Annika M., et al.. (2021). Fracture risk following the initiation of antihypertensive therapy amongst frail elderly people: a self-controlled case series analysis. Oxford University Research Archive (ORA) (University of Oxford). 1 indexed citations

15.

Tan, Eng Hooi, Annika M. Jödicke, Mees Mosseveld, et al.. (2021). The impact of COVID-19 on population-level drug utilization of alendronate. Osteoporosis International. 1 indexed citations

16.

T, Oda, et al.. (2021). Bisphosphonate use and risk of severe acute kidney injury: A self-controlled case series in frail elderly patients in the UK. Pharmacoepidemiology and Drug Safety. 1 indexed citations

17.

Jödicke, Annika M., et al.. (2020). Medication as a risk factor for hospitalization due to heart failure and shock: a series of case-crossover studies in Swiss claims data. European Journal of Clinical Pharmacology. 76(7). 979–989. 3 indexed citations

18.

Jödicke, Annika M., et al.. (2019). Prediction of health care expenditure increase: how does pharmacotherapy contribute?. BMC Health Services Research. 19(1). 953–953. 14 indexed citations

19.

Jödicke, Annika M., et al.. (2018). Analysis of Drug-Drug Interactions in Swiss Claims Data Using Tizanidine and Ciprofloxacin as a Prototypical Contraindicated Combination. Annals of Pharmacotherapy. 52(10). 983–991. 5 indexed citations

20.

Jödicke, Annika M., et al.. (2017). Severe injection site reactions after subcutaneous administration of Sayana®: a retrospective, post-marketing analysis of WHO and Swiss spontaneous pharmacovigilance reports. Swiss Medical Weekly. 147(1920). w14432–w14432.

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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