Jacob Hagen

784 total citations
17 papers, 324 citations indexed

About

Jacob Hagen is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Jacob Hagen has authored 17 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Clinical Biochemistry and 3 papers in Physiology. Recurrent topics in Jacob Hagen's work include Metabolism and Genetic Disorders (5 papers), Mitochondrial Function and Pathology (3 papers) and Epigenetics and DNA Methylation (2 papers). Jacob Hagen is often cited by papers focused on Metabolism and Genetic Disorders (5 papers), Mitochondrial Function and Pathology (3 papers) and Epigenetics and DNA Methylation (2 papers). Jacob Hagen collaborates with scholars based in United States, Netherlands and Canada. Jacob Hagen's co-authors include Sander M. Houten, Carmen Argmann, Hans R. Waterham, Tetyana Dodatko, Sara Violante, Chunli Yu, Carlo W.T. van Roermund, Myriam Baes, Frédéric M. Vaz and Hongjie Chen and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and Science Translational Medicine.

In The Last Decade

Jacob Hagen

17 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Hagen United States 11 205 65 61 41 40 17 324
Maria Alessandra Maitan Italy 6 253 1.2× 85 1.3× 92 1.5× 34 0.8× 28 0.7× 7 416
Shinya Kikuchi Japan 11 365 1.8× 88 1.4× 32 0.5× 24 0.6× 66 1.6× 19 523
Enkhjargal Bayarsaikhan South Korea 11 162 0.8× 70 1.1× 63 1.0× 10 0.2× 35 0.9× 11 338
Alessandro E. Caccamo Italy 8 189 0.9× 59 0.9× 36 0.6× 49 1.2× 56 1.4× 9 395
Devorah Soiferman Israel 10 426 2.1× 49 0.8× 173 2.8× 26 0.6× 25 0.6× 10 531
G. Hege Thoresen Norway 13 206 1.0× 96 1.5× 16 0.3× 44 1.1× 26 0.7× 21 414
Liliane Maisin Belgium 8 214 1.0× 83 1.3× 21 0.3× 27 0.7× 51 1.3× 8 338
Junting Chen China 8 160 0.8× 32 0.5× 15 0.2× 58 1.4× 47 1.2× 17 316
Raymond K. Tan United States 4 260 1.3× 105 1.6× 114 1.9× 47 1.1× 29 0.7× 8 496
Tomomi Hashidate‐Yoshida Japan 9 254 1.2× 59 0.9× 15 0.2× 101 2.5× 52 1.3× 19 447

Countries citing papers authored by Jacob Hagen

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Hagen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Hagen

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

All Works

17 of 17 papers shown
1.
Hagen, Jacob, et al.. (2025). Artificial Intelligence in Head and Neck Cancer: Towards Precision Medicine. Cancers. 17(18). 3023–3023. 1 indexed citations
2.
Bisikirska, Brygida, Rossella Labella, Álvaro Cuesta‐Domínguez, et al.. (2024). Melatonin receptor 1A variants as genetic cause of idiopathic osteoporosis. Science Translational Medicine. 16(769). eadj0085–eadj0085. 3 indexed citations
3.
Peters, Lauren, Joshua R. Friedman, Aleksandar Stojmirović, et al.. (2023). A temporal classifier predicts histopathology state and parses acute-chronic phasing in inflammatory bowel disease patients. Communications Biology. 6(1). 95–95. 4 indexed citations
4.
Zhong, Guojie, Priyanka Ahimaz, Jacob Hagen, et al.. (2022). Identification and validation of candidate risk genes in endocytic vesicular trafficking associated with esophageal atresia and tracheoesophageal fistulas. Human Genetics and Genomics Advances. 3(3). 100107–100107. 5 indexed citations
5.
Swingle, Mark R., Richard Heng, Mourad Toporsian, et al.. (2021). A disorder-related variant (E420K) of a PP2A-regulatory subunit (PPP2R5D) causes constitutively active AKT-mTOR signaling and uncoordinated cell growth. Journal of Biological Chemistry. 296. 100313–100313. 21 indexed citations
6.
Daum, Hagit, Mythily Ganapathi, Yoel Hirsch, et al.. (2021). Bi‐allelic PAGR1 variants are associated with microcephaly and a severe neurodevelopmental disorder: Genetic evidence from two families. American Journal of Medical Genetics Part A. 188(1). 336–342. 6 indexed citations
7.
Okur, Volkan, Priyanka Ahimaz, Miroslav P. Milev, et al.. (2020). A novel homozygous variant in TRAPPC2L results in a neurodevelopmental disorder and disrupts TRAPP complex function. Journal of Medical Genetics. 58(9). 592–601. 10 indexed citations
8.
Leandro, João, Sara Violante, Carmen Argmann, et al.. (2019). Mild inborn errors of metabolism in commonly used inbred mouse strains. Molecular Genetics and Metabolism. 126(4). 388–396. 10 indexed citations
9.
Pabla, Sarabjot, Jonathan Andreas, Felicia L. Lenzo, et al.. (2019). Development and analytical validation of a next-generation sequencing based microsatellite instability (MSI) assay. Oncotarget. 10(50). 5181–5193. 14 indexed citations
10.
Violante, Sara, Carlo W.T. van Roermund, Jacob Hagen, et al.. (2018). Peroxisomes can oxidize medium‐ and long‐chain fatty acids through a pathway involving ABCD3 and HSD17B4. The FASEB Journal. 33(3). 4355–4364. 86 indexed citations
11.
Weeghel, Michel van, Desiree Abdurrachim, Rianne Nederlof, et al.. (2018). Increased cardiac fatty acid oxidation in a mouse model with decreased malonyl-CoA sensitivity of CPT1B. Cardiovascular Research. 114(10). 1324–1334. 33 indexed citations
12.
Hagen, Jacob, Saskia Scheij, Tineke Veenendaal, et al.. (2018). HEPES activates a MiT/TFE-dependent lysosomal-autophagic gene network in cultured cells: A call for caution. Autophagy. 14(3). 437–449. 20 indexed citations
13.
Argmann, Carmen, Sara Violante, Tetyana Dodatko, et al.. (2017). Germline deletion of Krüppel-like factor 14 does not increase risk of diet induced metabolic syndrome in male C57BL/6 mice. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(12). 3277–3285. 12 indexed citations
14.
Nederlof, Rianne, Simone Denis, Benjamin Lauzier, et al.. (2017). Acute detachment of hexokinase II from mitochondria modestly increases oxygen consumption of the intact mouse heart. Metabolism. 72. 66–74. 12 indexed citations
15.
Webb, Bryn D., Patricia G. Wheeler, Jacob Hagen, et al.. (2015). Novel, Compound Heterozygous, Single-Nucleotide Variants inMARS2Associated with Developmental Delay, Poor Growth, and Sensorineural Hearing Loss. Human Mutation. 36(6). 587–592. 26 indexed citations
16.
Hagen, Jacob, Heleen te Brinke, Ronald J. A. Wanders, et al.. (2015). Genetic basis of alpha‐aminoadipic and alpha‐ketoadipic aciduria. Journal of Inherited Metabolic Disease. 38(5). 873–879. 44 indexed citations
17.
Ihnatovych, Ivanna, et al.. (2014). Tissue specific expression of Myosin IC Isoforms. BMC Cell Biology. 15(1). 8–8. 17 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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