Ulrika Marklund

4.9k total citations · 1 hit paper
19 papers, 2.9k citations indexed

About

Ulrika Marklund is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ulrika Marklund has authored 19 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Surgery and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ulrika Marklund's work include Congenital gastrointestinal and neural anomalies (7 papers), Developmental Biology and Gene Regulation (5 papers) and Pluripotent Stem Cells Research (4 papers). Ulrika Marklund is often cited by papers focused on Congenital gastrointestinal and neural anomalies (7 papers), Developmental Biology and Gene Regulation (5 papers) and Pluripotent Stem Cells Research (4 papers). Ulrika Marklund collaborates with scholars based in Sweden, United States and United Kingdom. Ulrika Marklund's co-authors include Fatima Memic, Patrik Ernfors, Alessandro Furlan, Jens Hjerling‐Leffler, Hannah Hochgerner, Martin Häring, Peter Lönnerberg, Amit Zeisel, Anna Johnsson and Kenneth D. Harris and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ulrika Marklund

18 papers receiving 2.9k citations

Hit Papers

Molecular Architecture of the Mouse Nervous System 2018 2026 2020 2023 2018 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrika Marklund Sweden 14 1.6k 698 423 390 376 19 2.9k
Fatima Memic Sweden 11 1.3k 0.8× 567 0.8× 427 1.0× 359 0.9× 310 0.8× 15 2.5k
Alessandro Furlan Sweden 16 2.3k 1.4× 1.3k 1.9× 581 1.4× 293 0.8× 394 1.0× 21 4.6k
Lars E. Borm Sweden 10 2.1k 1.3× 545 0.8× 560 1.3× 134 0.3× 281 0.7× 12 3.1k
Hannah Hochgerner Sweden 11 1.4k 0.8× 681 1.0× 573 1.4× 133 0.3× 374 1.0× 16 2.6k
Kelly R. Monk United States 34 2.0k 1.2× 1.6k 2.3× 552 1.3× 223 0.6× 692 1.8× 69 3.9k
Gihan Tennekoon United States 30 1.6k 1.0× 1.5k 2.1× 265 0.6× 227 0.6× 584 1.6× 69 3.2k
Fuying Gao United States 32 1.8k 1.1× 902 1.3× 489 1.2× 121 0.3× 215 0.6× 60 3.2k
Jaan‐Olle Andressoo Finland 24 1.3k 0.8× 753 1.1× 170 0.4× 151 0.4× 281 0.7× 53 2.5k
Hagen Wende Germany 22 1.2k 0.8× 670 1.0× 129 0.3× 274 0.7× 309 0.8× 27 2.6k
Dmitry Usoskin Sweden 14 1.5k 0.9× 974 1.4× 213 0.5× 176 0.5× 201 0.5× 23 3.2k

Countries citing papers authored by Ulrika Marklund

Since Specialization
Citations

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

Fields of papers citing papers by Ulrika Marklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrika Marklund

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

All Works

19 of 19 papers shown
1.
Li, Wei, Khomgrit Morarach, Ziwei Liu, et al.. (2025). The transcriptomes, connections and development of submucosal neuron classes in the mouse small intestine. Nature Neuroscience. 28(6). 1146–1159.
3.
Marklund, Ulrika. (2021). Diversity, development and immunoregulation of enteric neurons. Nature Reviews Gastroenterology & Hepatology. 19(2). 85–86. 12 indexed citations
4.
Oosterveen, Tony, Pedro Garção, Clément Soleilhavoup, et al.. (2021). Pluripotent stem cell derived dopaminergic subpopulations model the selective neuron degeneration in Parkinson’s disease. Stem Cell Reports. 16(11). 2718–2735. 19 indexed citations
5.
Morarach, Khomgrit, Anastassia Mikhailova, Viktoria Knoflach, et al.. (2020). Diversification of molecularly defined myenteric neuron classes revealed by single-cell RNA sequencing. Nature Neuroscience. 24(1). 34–46. 157 indexed citations
6.
Kastriti, Maria Eleni, Polina Kameneva, Dmitrii Kamenev, et al.. (2019). Schwann Cell Precursors Generate the Majority of Chromaffin Cells in Zuckerkandl Organ and Some Sympathetic Neurons in Paraganglia. Frontiers in Molecular Neuroscience. 12. 6–6. 59 indexed citations
7.
Zeisel, Amit, Hannah Hochgerner, Peter Lönnerberg, et al.. (2018). Molecular Architecture of the Mouse Nervous System. Cell. 174(4). 999–1014.e22. 1572 indexed citations breakdown →
8.
Furlan, Alessandro, Vyacheslav Dyachuk, Laura Calvo-Enrique, et al.. (2018). Multipotent peripheral glial cells generate neuroendocrine cells of the adrenal medulla. Yearbook of pediatric endocrinology. 3 indexed citations
9.
Furlan, Alessandro, Vyacheslav Dyachuk, Maria Eleni Kastriti, et al.. (2017). Multipotent peripheral glial cells generate neuroendocrine cells of the adrenal medulla. Science. 357(6346). 222 indexed citations
10.
Morarach, Khomgrit, Fatima Memic, Amit Zeisel, et al.. (2017). Single-cell molecular interrogation of enteric nervous system development. Mechanisms of Development. 145. S67–S67. 2 indexed citations
11.
Memic, Fatima, Viktoria Knoflach, Khomgrit Morarach, et al.. (2017). Transcription and Signaling Regulators in Developing Neuronal Subtypes of Mouse and Human Enteric Nervous System. Gastroenterology. 154(3). 624–636. 66 indexed citations
12.
Memic, Fatima, Viktoria Knoflach, Rebecca Sadler, et al.. (2016). Ascl1 Is Required for the Development of Specific Neuronal Subtypes in the Enteric Nervous System. Journal of Neuroscience. 36(15). 4339–4350. 34 indexed citations
13.
Dyachuk, Vyacheslav, Alessandro Furlan, Nina Kaukua, et al.. (2014). Parasympathetic neurons originate from nerve-associated peripheral glial progenitors. Science. 345(6192). 82–87. 168 indexed citations
14.
Marklund, Ulrika, Zhanna Alekseenko, Elisabet Andersson, et al.. (2013). Detailed Expression Analysis of Regulatory Genes in the Early Developing Human Neural Tube. Stem Cells and Development. 23(1). 5–15. 26 indexed citations
15.
Marklund, Ulrika, Emil M. Hansson, Erik Sundström, et al.. (2010). Domain-specific control of neurogenesis achieved through patterned regulation of Notch ligand expression. Development. 137(3). 437–445. 47 indexed citations
16.
Dias, José M., Ulrika Marklund, Qiubo Lei, et al.. (2010). A homeodomain feedback circuit underlies step-function interpretation of a Shh morphogen gradient during ventral neural patterning. Development. 137(23). 4051–4060. 61 indexed citations
17.
Hansson, Emil M., Fredrik Lanner, Debashish Das, et al.. (2010). Control of Notch-ligand endocytosis by ligand-receptor interaction. Journal of Cell Science. 123(17). 2931–2942. 57 indexed citations
18.
Andersson, Elisabet, Lachlan H. Thompson, Marie E. Jönsson, et al.. (2009). Efficient production of mesencephalic dopamine neurons by Lmx1a expression in embryonic stem cells. Proceedings of the National Academy of Sciences. 106(18). 7613–7618. 166 indexed citations
19.
Ding, Yu‐Qiang, Ulrika Marklund, Wenlin Yuan, et al.. (2003). Lmx1b is essential for the development of serotonergic neurons. Nature Neuroscience. 6(9). 933–938. 209 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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