Jonas Häggström

980 total citations
8 papers, 218 citations indexed

About

Jonas Häggström is a scholar working on Statistics and Probability, Infectious Diseases and Oncology. According to data from OpenAlex, Jonas Häggström has authored 8 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Infectious Diseases and 2 papers in Oncology. Recurrent topics in Jonas Häggström's work include Statistical Methods in Clinical Trials (2 papers), COVID-19 and healthcare impacts (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Jonas Häggström is often cited by papers focused on Statistical Methods in Clinical Trials (2 papers), COVID-19 and healthcare impacts (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Jonas Häggström collaborates with scholars based in Canada, United States and United Kingdom. Jonas Häggström's co-authors include Jay Park, Edward J. Mills, Kristian Thorlund, Louis Dron, Alind Gupta, Paul Arora, Névine Zariffa, Andrew D. Morris, Jing Li and Jørn Olsen and has published in prestigious journals such as American Journal of Clinical Nutrition, BMJ and Statistics in Medicine.

In The Last Decade

Jonas Häggström

8 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonas Häggström Canada	7	44	31	30	29	28	8	218
Frank Mannino United States	8	77 1.8×	22 0.7×	35 1.2×	52 1.8×	34 1.2×	14	366
Rachael V. Phillips United States	11	75 1.7×	38 1.2×	63 2.1×	57 2.0×	29 1.0×	20	444
Antonio Carlos Pedroso de Lima Brazil	11	36 0.8×	46 1.5×	7 0.2×	21 0.7×	21 0.8×	19	279
Anna Ostropolets United States	11	24 0.5×	31 1.0×	22 0.7×	57 2.0×	57 2.0×	33	459
Kelly Plueschke Netherlands	7	56 1.3×	28 0.9×	9 0.3×	22 0.8×	20 0.7×	12	279
Ken Getz United States	9	20 0.5×	84 2.7×	14 0.5×	32 1.1×	13 0.5×	20	234
Ana Hidalgo‐Simon Netherlands	9	27 0.6×	29 0.9×	9 0.3×	24 0.8×	35 1.3×	15	355
Scott Askin Switzerland	5	23 0.5×	76 2.5×	34 1.1×	38 1.3×	8 0.3×	5	287
F. Maignen United Kingdom	9	32 0.7×	28 0.9×	16 0.5×	13 0.4×	15 0.5×	24	307
Edmund Njeru Njagi United Kingdom	10	60 1.4×	57 1.8×	9 0.3×	10 0.3×	56 2.0×	24	370

Countries citing papers authored by Jonas Häggström

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Häggström

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Häggström

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

All Works

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8 of 8 papers shown

Nyberg, Joakim, E. Niclas Jonsson, Mats O. Karlsson, & Jonas Häggström. (2023). Properties of the full random‐effect modeling approach with missing covariate data. Statistics in Medicine. 43(5). 935–952. 7 indexed citations

Zar, Heather J., Rae MacGinty, Lesley Workman, et al.. (2022). Klebsiella pneumoniae Lower Respiratory Tract Infection in a South African Birth Cohort: a Longitudinal Study. International Journal of Infectious Diseases. 121. 31–38. 7 indexed citations

Dron, Louis, Alind Gupta, Jonas Häggström, et al.. (2022). Data capture and sharing in the COVID-19 pandemic: a cause for concern. The Lancet Digital Health. 4(10). e748–e756. 32 indexed citations

Dron, Louis, et al.. (2021). Clinical Trial Data Sharing for COVID-19–Related Research. Journal of Medical Internet Research. 23(3). e26718–e26718. 16 indexed citations

Nsanzimana, Sabin, Alind Gupta, Jonas Häggström, et al.. (2021). The Need for a Practical Approach to Evaluate the Effectiveness of COVID-19 Vaccines for Low- and Middle-Income Countries. American Journal of Tropical Medicine and Hygiene. 105(3). 561–563. 5 indexed citations

Kirkegaard, Helene, Sören Möller, Chunsen Wu, et al.. (2020). Associations of birth size, infancy, and childhood growth with intelligence quotient at 5 years of age: a Danish cohort study. American Journal of Clinical Nutrition. 112(1). 96–105. 22 indexed citations

Thorlund, Kristian, Jonas Häggström, Jay Park, & Edward J. Mills. (2018). Key design considerations for adaptive clinical trials: a primer for clinicians. BMJ. 360. k698–k698. 96 indexed citations

Putnam, Wendy S., Jing Li, Jonas Häggström, et al.. (2008). Use of Quantitative Pharmacology in the Development of HAE1, a High-Affinity Anti-IgE Monoclonal Antibody. The AAPS Journal. 10(2). 425–30. 33 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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