Johan H. Thygesen

2.8k total citations · 1 hit paper
32 papers, 304 citations indexed

About

Johan H. Thygesen is a scholar working on Genetics, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Johan H. Thygesen has authored 32 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Psychiatry and Mental health and 5 papers in Molecular Biology. Recurrent topics in Johan H. Thygesen's work include Schizophrenia research and treatment (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Machine Learning in Healthcare (4 papers). Johan H. Thygesen is often cited by papers focused on Schizophrenia research and treatment (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Machine Learning in Healthcare (4 papers). Johan H. Thygesen collaborates with scholars based in United Kingdom, Germany and Denmark. Johan H. Thygesen's co-authors include Andrew McQuillin, Alvina G. Lai, Kezhi Li, Honghan Wu, Thomas Werge, Amitava Banerjee, Nicholas Bass, Spiros Denaxas, Anders Rosengren and Louise K. Hoeffding and has published in prestigious journals such as The Lancet, Nature Communications and PLoS ONE.

In The Last Decade

Johan H. Thygesen

29 papers receiving 301 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.

Large Language Models for Mental Health Applications: Systematic Review

2024 48 citations Alvina G. Lai, Johan H. Thygesen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johan H. Thygesen United Kingdom	10	69	52	49	49	35	32	304
Alexandra Rieger Austria	12	24 0.3×	62 1.2×	61 1.2×	81 1.7×	47 1.3×	28	341
Peter D. Galer United States	11	78 1.1×	69 1.3×	19 0.4×	101 2.1×	28 0.8×	18	326
Erying Zhao China	11	15 0.2×	49 0.9×	12 0.2×	22 0.4×	67 1.9×	24	285
Mariane Bagatin Bermúdez Brazil	9	21 0.3×	19 0.4×	15 0.3×	133 2.7×	67 1.9×	11	320
Simon Spichak Ireland	7	19 0.3×	304 5.8×	71 1.4×	37 0.8×	22 0.6×	8	644
Hongyan Zhang China	12	39 0.6×	61 1.2×	4 0.1×	68 1.4×	55 1.6×	52	440
Maksymilian Bielecki Poland	13	17 0.2×	23 0.4×	9 0.2×	86 1.8×	48 1.4×	55	421
Sean X. Luo United States	11	42 0.6×	29 0.6×	6 0.1×	36 0.7×	28 0.8×	30	418
Heidi M. Munger Clary United States	11	23 0.3×	27 0.5×	16 0.3×	347 7.1×	25 0.7×	36	475
Guan-Hua Huang United States	10	16 0.2×	12 0.2×	32 0.7×	29 0.6×	9 0.3×	13	347

Countries citing papers authored by Johan H. Thygesen

Since Specialization

Citations

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

Fields of papers citing papers by Johan H. Thygesen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan H. Thygesen

This figure shows the co-authorship network connecting the top 25 collaborators of Johan H. Thygesen. A scholar is included among the top collaborators of Johan H. Thygesen 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 H. Thygesen. Johan H. Thygesen 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

Denaxas, Spiros, et al.. (2025). Evaluation of trajectory analysis for disease risk assessment: a scoping review. Journal of the American Medical Informatics Association. 33(2). 521–535.

Pineda‐Moncusí, Marta, Hoda Abbasizanjani, Albert Prats‐Uribe, et al.. (2025). Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022. Nature Communications. 16(1). 6059–6059. 1 indexed citations

Tomlinson, Christopher, et al.. (2025). Enhancing Patient Outcome Prediction Through Deep Learning With Sequential Diagnosis Codes From Structured Electronic Health Record Data: Systematic Review. Journal of Medical Internet Research. 27. e57358–e57358. 4 indexed citations

Lai, Alvina G., et al.. (2024). Large Language Models for Mental Health Applications: Systematic Review (Preprint). arXiv (Cornell University). 8 indexed citations

Mizani, Mehrdad A., Christopher Tomlinson, Mohamed Mohamed, et al.. (2024). Healthcare utilisation of 282,080 individuals with long COVID over two years: a multiple matched control, longitudinal cohort analysis. Journal of the Royal Society of Medicine. 117(11). 369–381. 4 indexed citations

Tomlinson, Christopher, et al.. (2024). Enhancing Patient Outcome Prediction Through Deep Learning With Sequential Diagnosis Codes From Structured Electronic Health Record Data: Systematic Review (Preprint).

Pineda‐Moncusí, Marta, Antonella Delmestri, Thomas Bolton, et al.. (2024). Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity. Scientific Data. 11(1). 221–221. 9 indexed citations

Thygesen, Johan H., et al.. (2023). Multiple psychiatric polygenic risk scores predict associations between childhood adversity and bipolar disorder. Journal of Affective Disorders. 341. 137–146. 3 indexed citations

Yang, Justin, Johan H. Thygesen, Nomi Werbeloff, Joseph Hayes, & David Osborn. (2022). Antipsychotic polypharmacy and adverse drug reactions among adults in a London mental health service, 2008–2018. Psychological Medicine. 53(9). 4220–4227.

10.

Handy, Álex, Amitava Banerjee, Angela Wood, et al.. (2022). Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort. Heart. 108(12). 923–931. 12 indexed citations

11.

Zhang, Huayu, Johan H. Thygesen, Ting Shi, et al.. (2022). Increased COVID-19 mortality rate in rare disease patients: a retrospective cohort study in participants of the Genomics England 100,000 Genomes project. Orphanet Journal of Rare Diseases. 17(1). 166–166. 8 indexed citations

12.

Banerjee, Amitava, Suliang Chen, Laura Pasea, et al.. (2022). Identifying Subtypes of Heart Failure with Machine Learning: External, Prognostic and Genetic Validation in Three Electronic Health Record Sources with 320,863 Individuals. SSRN Electronic Journal. 2 indexed citations

13.

Bhat, Anjali, Haritz Irizar, Johan H. Thygesen, et al.. (2021). Transcriptome-wide association study reveals two genes that influence mismatch negativity. Cell Reports. 34(11). 108868–108868. 9 indexed citations

14.

Werbeloff, Nomi, Johan H. Thygesen, Joseph Hayes, et al.. (2021). Childhood sexual abuse in patients with severe mental Illness: Demographic, clinical and functional correlates. Acta Psychiatrica Scandinavica. 143(6). 495–502. 9 indexed citations

15.

Zhang, Huayu, Johan H. Thygesen, & Honghan Wu. (2021). Increased COVID-19 related mortality rate for patients with rare diseases: a retrospective cohort study with data from Genomics England. The Lancet. 398. S95–S95. 1 indexed citations

16.

Dalton‐Locke, Christian, Johan H. Thygesen, Nomi Werbeloff, David Osborn, & Helen Killaspy. (2020). Using de-identified electronic health records to research mental health supported housing services: A feasibility study. PLoS ONE. 15(8). e0237664–e0237664. 3 indexed citations

17.

Grigoroiu‐Serbânescu, Maria, Giovanni Giaroli, Johan H. Thygesen, et al.. (2019). Predictive power of the ADHD GWAS 2019 polygenic risk scores in independent samples of bipolar patients with childhood ADHD. Journal of Affective Disorders. 265. 651–659. 13 indexed citations

18.

Hoeffding, Louise K., Anders Rosengren, Johan H. Thygesen, et al.. (2016). Evaluation of shared genetic susceptibility loci between autoimmune diseases and schizophrenia based on genome-wide association studies. Nordic Journal of Psychiatry. 71(1). 20–25. 8 indexed citations

19.

Duong, Linh T., Louise K. Hoeffding, Kirsten Bruun Petersen, et al.. (2015). Two rare deletions upstream of the NRXN1 gene (2p16.3) affecting the non-coding mRNA AK127244 segregate with diverse psychopathological phenotypes in a family. European Journal of Medical Genetics. 58(12). 650–653. 7 indexed citations

20.

Thygesen, Johan H., Andrés Ingason, Pär Lundin, et al.. (2015). Linkage and whole genome sequencing identify a locus on 6q25–26 for formal thought disorder and implicate MEF2A regulation. Schizophrenia Research. 169(1-3). 441–446. 9 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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