Jessica Holmén‐Larsson

2.8k total citations · 2 hit papers
16 papers, 2.1k citations indexed

About

Jessica Holmén‐Larsson is a scholar working on Molecular Biology, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Jessica Holmén‐Larsson has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Psychiatry and Mental health and 5 papers in Genetics. Recurrent topics in Jessica Holmén‐Larsson's work include Glycosylation and Glycoproteins Research (6 papers), Bipolar Disorder and Treatment (6 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Jessica Holmén‐Larsson is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Bipolar Disorder and Treatment (6 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Jessica Holmén‐Larsson collaborates with scholars based in Sweden, United Kingdom and United States. Jessica Holmén‐Larsson's co-authors include Gunnar C. Hansson, Malin Johansson, Jenny K. Gustafsson, Henrik Sjövall, Liisa Arike, Lijun Xia, Hua Xu, Frédéric A. Carvalho, Karolina S. Jabbar and Andrew T. Gewirtz and has published in prestigious journals such as Gut, Biological Psychiatry and Cellular and Molecular Life Sciences.

In The Last Decade

Jessica Holmén‐Larsson

15 papers receiving 2.1k citations

Hit Papers

Bacteria penetrate the normally impenetrable inner colon ... 2013 2026 2017 2021 2013 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica Holmén‐Larsson Sweden 12 1.3k 379 342 326 275 16 2.1k
Sjoerd van der Post Sweden 20 1.5k 1.1× 375 1.0× 399 1.2× 383 1.2× 228 0.8× 29 2.6k
Jean‐Paul Motta Canada 28 1.2k 0.9× 363 1.0× 272 0.8× 313 1.0× 531 1.9× 46 2.8k
Weiwei Luo China 24 1.5k 1.1× 292 0.8× 435 1.3× 185 0.6× 237 0.9× 52 2.3k
Maria van der Sluis Netherlands 16 1.4k 1.1× 386 1.0× 569 1.7× 508 1.6× 273 1.0× 18 2.5k
Kenneth Nally Ireland 23 1.0k 0.8× 432 1.1× 289 0.8× 154 0.5× 178 0.6× 45 1.9k
Nathalie Rolhion France 25 1.4k 1.1× 433 1.1× 494 1.4× 168 0.5× 485 1.8× 40 2.5k
Martin Schwarzer Czechia 23 1.3k 1.0× 578 1.5× 226 0.7× 163 0.5× 257 0.9× 57 2.3k
Arnaud Muller Luxembourg 20 2.3k 1.7× 389 1.0× 316 0.9× 256 0.8× 318 1.2× 42 3.3k
Moez Rhimi France 29 1.5k 1.1× 269 0.7× 200 0.6× 353 1.1× 176 0.6× 74 2.7k

Countries citing papers authored by Jessica Holmén‐Larsson

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Holmén‐Larsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica Holmén‐Larsson. 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 Jessica Holmén‐Larsson. The network helps show where Jessica Holmén‐Larsson may publish in the future.

Co-authorship network of co-authors of Jessica Holmén‐Larsson

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

All Works

16 of 16 papers shown
1.
Holmén‐Larsson, Jessica, Hakan Hamdi Çelik, Carl M. Sellgren, et al.. (2025). Mapping the Cerebrospinal Fluid Proteome in Bipolar Disorder. Biological Psychiatry.
2.
Isgren, Anniella, Jessica Holmén‐Larsson, Carl M. Sellgren, et al.. (2022). Cerebrospinal fluid proteomic study of two bipolar disorder cohorts. Molecular Psychiatry. 27(11). 4568–4574. 11 indexed citations
3.
Isgren, Anniella, Timea Sparding, Jessica Holmén‐Larsson, et al.. (2022). A serum proteomic study of two case-control cohorts identifies novel biomarkers for bipolar disorder. Translational Psychiatry. 12(1). 55–55. 13 indexed citations
4.
Isgren, Anniella, Lina Jönsson, Timea Sparding, et al.. (2021). Cerebrospinal fluid proteomics targeted for central nervous system processes in bipolar disorder. Molecular Psychiatry. 26(12). 7446–7453. 15 indexed citations
5.
Skillbäck, Tobias, Jessica Holmén‐Larsson, Gunnar Brinkmalm, et al.. (2017). Sample Preparation for Endopeptidomic Analysis in Human Cerebrospinal Fluid. Journal of Visualized Experiments. 2 indexed citations
6.
Magdalinou, Nadia, Alastair J. Noyce, Rui Pinto, et al.. (2017). Identification of candidate cerebrospinal fluid biomarkers in parkinsonism using quantitative proteomics. Parkinsonism & Related Disorders. 37. 65–71. 35 indexed citations
7.
Isgren, Anniella, Carl M. Sellgren, Jessica Holmén‐Larsson, et al.. (2017). Markers of neuroinflammation and neuronal injury in bipolar disorder: Relation to prospective clinical outcomes. Brain Behavior and Immunity. 65. 195–201. 71 indexed citations
8.
Skillbäck, Tobias, Silke Kern, Erik Portelius, et al.. (2017). Expanding the cerebrospinal fluid endopeptidome. PROTEOMICS. 17(5). 25 indexed citations
9.
Arike, Liisa, Jessica Holmén‐Larsson, & Gunnar C. Hansson. (2017). Intestinal Muc2 mucin O-glycosylation is affected by microbiota and regulated by differential expression of glycosyltranferases. Glycobiology. 27(4). 318–328. 146 indexed citations
10.
Skillbäck, Tobias, Jessica Holmén‐Larsson, Gunnar Brinkmalm, et al.. (2017). Sample Preparation for Endopeptidomic Analysis in Human Cerebrospinal Fluid. Journal of Visualized Experiments. 1 indexed citations
11.
Yoshimi, Noriko, Takashi Futamura, Keiji Kakumoto, et al.. (2016). Blood metabolomics analysis identifies abnormalities in the citric acid cycle, urea cycle, and amino acid metabolism in bipolar disorder. PubMed. 5. 151–158. 76 indexed citations
12.
Johansson, Malin, Hedvig E. Jakobsson, Jessica Holmén‐Larsson, et al.. (2015). Normalization of Host Intestinal Mucus Layers Requires Long-Term Microbial Colonization. Cell Host & Microbe. 18(5). 582–592. 381 indexed citations breakdown →
13.
Hölttä, Mikko, Lennart Minthon, Oskar Hansson, et al.. (2014). An Integrated Workflow for Multiplex CSF Proteomics and Peptidomics—Identification of Candidate Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease. Journal of Proteome Research. 14(2). 654–663. 82 indexed citations
14.
Johansson, Malin, Jenny K. Gustafsson, Jessica Holmén‐Larsson, et al.. (2013). Bacteria penetrate the normally impenetrable inner colon mucus layer in both murine colitis models and patients with ulcerative colitis. Gut. 63(2). 281–291. 761 indexed citations breakdown →
15.
Thomsson, Kristina A., Jessica Holmén‐Larsson, Jonas Ångström, et al.. (2012). Detailed O-glycomics of the Muc2 mucin from colon of wild-type, core 1- and core 3-transferase-deficient mice highlights differences compared with human MUC2. Glycobiology. 22(8). 1128–1139. 77 indexed citations
16.
Johansson, Malin, Daniel Ambort, Thaher Pelaseyed, et al.. (2011). Composition and functional role of the mucus layers in the intestine. Cellular and Molecular Life Sciences. 68(22). 3635–3641. 403 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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