Edwin H. Jacobs

1.3k total citations
28 papers, 897 citations indexed

About

Edwin H. Jacobs is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Edwin H. Jacobs has authored 28 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Physiology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Edwin H. Jacobs's work include Lysosomal Storage Disorders Research (9 papers), Receptor Mechanisms and Signaling (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Edwin H. Jacobs is often cited by papers focused on Lysosomal Storage Disorders Research (9 papers), Receptor Mechanisms and Signaling (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Edwin H. Jacobs collaborates with scholars based in Netherlands, United States and United Kingdom. Edwin H. Jacobs's co-authors include August B. Smit, Taco J. De Vries, Anton N. M. Schoffelmeer, Rob Leurs, Edwin Roovers, Martine J. Smit, Henk Timmerman, Astrid E. Alewijnse, Susanna Cotecchia and Ingrid M. Nijholt and has published in prestigious journals such as Blood, PLoS ONE and Brain.

In The Last Decade

Edwin H. Jacobs

27 papers receiving 878 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Edwin H. Jacobs 456 411 198 141 128 28 897
Keith Q. Tanis 350 0.8× 163 0.4× 186 0.9× 117 0.8× 116 0.9× 34 947
Marcin Piechota 550 1.2× 445 1.1× 185 0.9× 49 0.3× 83 0.6× 61 1.4k
Witold Konopka 621 1.4× 340 0.8× 144 0.7× 121 0.9× 128 1.0× 32 1.3k
Heming Zhu 705 1.5× 526 1.3× 119 0.6× 61 0.4× 129 1.0× 14 1.3k
Bjarte Håvik 501 1.1× 299 0.7× 103 0.5× 77 0.5× 84 0.7× 20 1.0k
Alison M. Beckmann 551 1.2× 718 1.7× 132 0.7× 56 0.4× 151 1.2× 10 1.1k
Michaela Kraus 418 0.9× 339 0.8× 127 0.6× 53 0.4× 102 0.8× 28 904
E. Giladi 537 1.2× 517 1.3× 172 0.9× 50 0.4× 90 0.7× 17 1.0k
Anders Juréus 459 1.0× 583 1.4× 387 2.0× 239 1.7× 84 0.7× 36 1.2k
Gladys Y.‐P. Ko 587 1.3× 516 1.3× 177 0.9× 435 3.1× 115 0.9× 45 1.1k

Countries citing papers authored by Edwin H. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Edwin H. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edwin H. Jacobs

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

All Works

20 of 20 papers shown
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Theodosiou, Athina, Carolina Sismani, Edwin H. Jacobs, et al.. (2023). GAA variants associated with reduced enzymatic activity but lack of Pompe-related symptoms, incidentally identified by exome sequencing. Molecular Genetics and Metabolism Reports. 36. 100997–100997. 2 indexed citations
3.
Hagemeijer, Marne C., et al.. (2023). Analysis of urinary oligosaccharide excretion patterns by UHPLC/HRAM mass spectrometry for screening of lysosomal storage disorders. Journal of Inherited Metabolic Disease. 46(2). 206–219. 5 indexed citations
4.
Jacobs, Edwin H., et al.. (2022). Distinct features in adult polyglucosan body disease: a case series. Neuromuscular Disorders. 33(2). 148–152. 3 indexed citations
5.
Hoogeveen‐Westerveld, Marianne, Edwin H. Jacobs, Johanna M. P. van den Hout, et al.. (2022). Antibodies against recombinant human alpha-glucosidase do not seem to affect clinical outcome in childhood onset Pompe disease. Orphanet Journal of Rare Diseases. 17(1). 31–31. 5 indexed citations
6.
Jacobs, Edwin H., Marjolein H. G. Dremmen, Jochem K. H. Spoor, et al.. (2021). Presymptomatic treatment of classic late-infantile neuronal ceroid lipofuscinosis with cerliponase alfa. Orphanet Journal of Rare Diseases. 16(1). 221–221. 12 indexed citations
7.
Demirdas, Serwet, Edwin H. Jacobs, Esmée Oussoren, et al.. (2020). Using Out-of-Batch Reference Populations to Improve Untargeted Metabolomics for Screening Inborn Errors of Metabolism. Metabolites. 11(1). 8–8. 12 indexed citations
8.
Beerepoot, Shanice, Silvy J.M. van Dooren, Gajja S. Salomons, et al.. (2020). Metachromatic leukodystrophy genotypes in The Netherlands reveal novel pathogenic ARSA variants in non-Caucasian patients. Neurogenetics. 21(4). 289–299. 9 indexed citations
9.
Stok, Merel, Helen de Boer, Edwin H. Jacobs, et al.. (2020). Lentiviral Hematopoietic Stem Cell Gene Therapy Corrects Murine Pompe Disease. Molecular Therapy — Methods & Clinical Development. 17. 1014–1025. 27 indexed citations
10.
Yadak, Rana, Javier Torres‐Torronteras, Marianna Bugiani, et al.. (2018). Preclinical Efficacy and Safety Evaluation of Hematopoietic Stem Cell Gene Therapy in a Mouse Model of MNGIE. Molecular Therapy — Methods & Clinical Development. 8. 152–165. 16 indexed citations
11.
Destici, Eugin, Edwin H. Jacobs, Filippo Tamanini, et al.. (2013). Altered Phase-Relationship between Peripheral Oscillators and Environmental Time in Cry1 or Cry2 Deficient Mouse Models for Early and Late Chronotypes. PLoS ONE. 8(12). e83602–e83602. 16 indexed citations
12.
Jacobs, Edwin H.. (2011). Bitcoin : A Bit Too Far ?. The Journal of Internet Banking and Commerce. 16(2). 1–4. 12 indexed citations
13.
Zee, Eddy A. van der, Robbert Havekes, R. Paulien Barf, et al.. (2008). Circadian Time-Place Learning in Mice Depends on Cry Genes. Current Biology. 18(11). 844–848. 99 indexed citations
14.
Jacobs, Edwin H., Robert J. Williams, & Paul T. Francis. (2006). Cyclin-dependent kinase 5, Munc18a and Munc18-interacting protein 1/X11α protein up-regulation in Alzheimer’s disease. Neuroscience. 138(2). 511–522. 31 indexed citations
15.
Jacobs, Edwin H., George Wardeh, August B. Smit, & Anton N. M. Schoffelmeer. (2005). Morphine causes a delayed increase in glutamate receptor functioning in the nucleus accumbens core. European Journal of Pharmacology. 511(1). 27–30. 25 indexed citations
16.
17.
Jacobs, Edwin H., August B. Smit, Taco J. De Vries, & Anton N. M. Schoffelmeer. (2003). Neuroadaptive effects of active versus passive drug administration in addiction research. Trends in Pharmacological Sciences. 24(11). 566–573. 126 indexed citations
18.
Jacobs, Edwin H.. (2000). Is histamine the final neurotransmitter in the entrainment of circadian rhythms in mammals?. Trends in Pharmacological Sciences. 21(8). 293–298. 29 indexed citations
19.
Smit, Martine J., H. Timmerman, Margot W. Beukers, et al.. (1996). The C Terminal Tail of the Histamine H2 Receptor Contains Positive and Negative Signals Important for Signal Transduction and Receptor Down‐Regulation. Journal of Neurochemistry. 67(5). 1791–1800. 22 indexed citations
20.
Miller, Alexander R., Kristina Rhoades, Arie S. Belldegrun, et al.. (1992). Simultaneous Use of Two Retroviral Vectors in Human Gene Marking Trials: Feasibility and Potential Applications. Human Gene Therapy. 3(6). 619–624. 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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