Jojanneke H.J. Huck

1.7k total citations
15 papers, 1.3k citations indexed

About

Jojanneke H.J. Huck is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Biochemistry. According to data from OpenAlex, Jojanneke H.J. Huck has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Biochemistry. Recurrent topics in Jojanneke H.J. Huck's work include Biomedical Research and Pathophysiology (7 papers), Amino Acid Enzymes and Metabolism (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Jojanneke H.J. Huck is often cited by papers focused on Biomedical Research and Pathophysiology (7 papers), Amino Acid Enzymes and Metabolism (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Jojanneke H.J. Huck collaborates with scholars based in Netherlands, Germany and United Kingdom. Jojanneke H.J. Huck's co-authors include Péter Somogyi, Nanda M. Verhoeven, Marjo S. van der Knaap, Cornelis Jakobs, Eduard A. Struys, Pablo Fuentealba, Thomas Klausberger, Gajja S. Salomons, Josef Priller and Edit Papp and has published in prestigious journals such as Neuron, Journal of Neuroscience and The American Journal of Human Genetics.

In The Last Decade

Jojanneke H.J. Huck

15 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jojanneke H.J. Huck Netherlands 13 605 368 361 296 215 15 1.3k
P. Elyse Schauwecker United States 20 1.0k 1.7× 238 0.6× 729 2.0× 117 0.4× 337 1.6× 32 1.6k
Sofia Papadia United Kingdom 16 898 1.5× 226 0.6× 1.1k 3.0× 118 0.4× 238 1.1× 18 1.8k
Johanne Egge Rinholm Norway 12 512 0.8× 258 0.7× 763 2.1× 99 0.3× 221 1.0× 17 1.3k
David A. Rempe United States 16 503 0.8× 284 0.8× 559 1.5× 185 0.6× 123 0.6× 20 1.2k
Fernando Pérez‐Cerdá Spain 14 493 0.8× 563 1.5× 395 1.1× 52 0.2× 407 1.9× 21 1.4k
Julien Chuquet France 13 633 1.0× 562 1.5× 429 1.2× 217 0.7× 114 0.5× 23 1.3k
Gary P. Schools United States 22 726 1.2× 384 1.0× 797 2.2× 92 0.3× 221 1.0× 32 1.4k
Alfred T. Malouf United States 19 638 1.1× 169 0.5× 473 1.3× 74 0.3× 185 0.9× 27 1.1k
Dmitri Leonoudakis United States 19 853 1.4× 229 0.6× 1.0k 2.8× 128 0.4× 265 1.2× 29 1.8k
Carsten Ohlemeyer Germany 20 1.0k 1.7× 921 2.5× 728 2.0× 106 0.4× 511 2.4× 25 1.9k

Countries citing papers authored by Jojanneke H.J. Huck

Since Specialization
Citations

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

Fields of papers citing papers by Jojanneke H.J. Huck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jojanneke H.J. Huck. 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 Jojanneke H.J. Huck. The network helps show where Jojanneke H.J. Huck may publish in the future.

Co-authorship network of co-authors of Jojanneke H.J. Huck

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

All Works

15 of 15 papers shown
1.
Huck, Jojanneke H.J., Dorette Freyer, Chotima Böttcher, et al.. (2015). De Novo Expression of Dopamine D2 Receptors on Microglia after Stroke. Journal of Cerebral Blood Flow & Metabolism. 35(11). 1804–1811. 81 indexed citations
2.
Fidzinski, Pawel, Jojanneke H.J. Huck, Heide Hörtnagl, et al.. (2014). Enhanced Dopamine-Dependent Hippocampal Plasticity after Single MK-801 Application. Neuropsychopharmacology. 40(4). 987–995. 15 indexed citations
3.
Traore, Tary, Jojanneke H.J. Huck, Jie Shi, et al.. (2014). 255 Pre-clinical in vivo characterization of MLN7243, an investigational ubiquitin activating enzyme inhibitor, in solid tumor models. European Journal of Cancer. 50. 85–85. 3 indexed citations
4.
Scheibe, Franziska, Juliane Ladhoff, Jojanneke H.J. Huck, et al.. (2012). Immune Effects of Mesenchymal Stromal Cells in Experimental Stroke. Journal of Cerebral Blood Flow & Metabolism. 32(8). 1578–1588. 38 indexed citations
5.
Fernández‐Klett, Francisco, Jason R. Potas, Josefine Radke, et al.. (2012). Early Loss of Pericytes and Perivascular Stromal Cell-Induced Scar Formation after Stroke. Journal of Cerebral Blood Flow & Metabolism. 33(3). 428–439. 181 indexed citations
6.
Fuentealba, Pablo, Thomas Klausberger, Theofanis Karayannis, et al.. (2010). Expression of COUP-TFII Nuclear Receptor in Restricted GABAergic Neuronal Populations in the Adult Rat Hippocampus. Journal of Neuroscience. 30(5). 1595–1609. 96 indexed citations
7.
Klausberger, Thomas, László F. Márton, Joseph O’Neill, et al.. (2005). Complementary Roles of Cholecystokinin- and Parvalbumin-Expressing GABAergic Neurons in Hippocampal Network Oscillations. Journal of Neuroscience. 25(42). 9782–9793. 344 indexed citations
8.
Wamelink, Mirjam M. C., Eduard A. Struys, Jojanneke H.J. Huck, et al.. (2005). Quantification of sugar phosphate intermediates of the pentose phosphate pathway by LC–MS/MS: application to two new inherited defects of metabolism. Journal of Chromatography B. 823(1). 18–25. 55 indexed citations
9.
Huck, Jojanneke H.J., et al.. (2005). Climbing Fiber Innervation of NG2-Expressing Glia in the Mammalian Cerebellum. Neuron. 46(5). 773–785. 158 indexed citations
10.
Verhoeven, Nanda M., M. Wallot, Jojanneke H.J. Huck, et al.. (2005). A newborn with severe liver failure, cardiomyopathy and transaldolase deficiency. Journal of Inherited Metabolic Disease. 28(2). 169–179. 39 indexed citations
11.
Huck, Jojanneke H.J., Nanda M. Verhoeven, Eduard A. Struys, et al.. (2004). Ribose-5-Phosphate Isomerase Deficiency: New Inborn Error in the Pentose Phosphate Pathway Associated with a Slowly Progressive Leukoencephalopathy. The American Journal of Human Genetics. 74(4). 745–751. 99 indexed citations
12.
Huck, Jojanneke H.J., Birthe Roos, Cornelis Jakobs, Marjo S. van der Knaap, & Nanda M. Verhoeven. (2004). Evaluation of pentitol metabolism in mammalian tissues provides new insight into disorders of human sugar metabolism. Molecular Genetics and Metabolism. 82(3). 231–237. 27 indexed citations
13.
Huck, Jojanneke H.J., Nanda M. Verhoeven, Johanna M. van Hagen, C. Jakobs, & Marjo S. van der Knaap. (2004). Clinical Presentations of Patients with Polyol Abnormalities. Neuropediatrics. 35(3). 167–173. 8 indexed citations
14.
Huck, Jojanneke H.J., Eduard A. Struys, Nanda M. Verhoeven, Cornelis Jakobs, & Marjo S. van der Knaap. (2003). Profiling of Pentose Phosphate Pathway Intermediates in Blood Spots by Tandem Mass Spectrometry: Application to Transaldolase Deficiency. Clinical Chemistry. 49(8). 1375–1380. 62 indexed citations
15.
Verhoeven, Nanda M., Jojanneke H.J. Huck, Birthe Roos, et al.. (2001). Transaldolase Deficiency: Liver Cirrhosis Associated with a New Inborn Error in the Pentose Phosphate Pathway. The American Journal of Human Genetics. 68(5). 1086–1092. 90 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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