Marcel Hoffmann

838 total citations
18 papers, 664 citations indexed

About

Marcel Hoffmann is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marcel Hoffmann has authored 18 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Immunology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marcel Hoffmann's work include Mast cells and histamine (10 papers), Receptor Mechanisms and Signaling (10 papers) and Chemical Synthesis and Analysis (3 papers). Marcel Hoffmann is often cited by papers focused on Mast cells and histamine (10 papers), Receptor Mechanisms and Signaling (10 papers) and Chemical Synthesis and Analysis (3 papers). Marcel Hoffmann collaborates with scholars based in Netherlands, United Kingdom and United States. Marcel Hoffmann's co-authors include Rob Leurs, Henk Timmerman, Martine J. Smit, Kerstin Wieland, Astrid E. Alewijnse, H. Timmerman, Dennis Verzijl, Antonella Cavalli, Graeme Milligan and Veerle Baekelandt and has published in prestigious journals such as Science, Genome Research and Journal of Medicinal Chemistry.

In The Last Decade

Marcel Hoffmann

18 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Hoffmann Netherlands 15 494 243 165 119 66 18 664
Jean Labrecque Canada 16 639 1.3× 298 1.2× 115 0.7× 74 0.6× 32 0.5× 34 1.2k
K A Wreggett Slovakia 12 731 1.5× 79 0.3× 485 2.9× 93 0.8× 29 0.4× 19 1.0k
Jane Denyer United Kingdom 15 510 1.0× 45 0.2× 254 1.5× 96 0.8× 60 0.9× 23 800
Akiharu Uwamizu Japan 10 647 1.3× 128 0.5× 199 1.2× 97 0.8× 10 0.2× 20 808
Bence Szalai Hungary 12 557 1.1× 150 0.6× 99 0.6× 41 0.3× 148 2.2× 21 975
Yuji Shinjo Japan 6 540 1.1× 84 0.3× 238 1.4× 68 0.6× 9 0.1× 7 675
Katsuo Okazaki Japan 15 558 1.1× 46 0.2× 277 1.7× 76 0.6× 126 1.9× 27 810
Ornella Letari Italy 11 173 0.4× 84 0.3× 112 0.7× 123 1.0× 15 0.2× 20 427
Fu‐Yue Zeng United States 16 755 1.5× 118 0.5× 333 2.0× 34 0.3× 13 0.2× 31 891
Jianjun Xu Japan 13 340 0.7× 89 0.4× 151 0.9× 30 0.3× 42 0.6× 27 540

Countries citing papers authored by Marcel Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Hoffmann

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

All Works

18 of 18 papers shown
1.
Hoffmann, Marcel, et al.. (2023). Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes. Neural Networks. 164. 156–176. 7 indexed citations
2.
Hoffmann, Marcel, et al.. (2023). Open-World Lifelong Graph Learning. arXiv (Cornell University). 4 indexed citations
3.
Thathiah, Amantha, Kurt Spittaels, Marcel Hoffmann, et al.. (2009). The Orphan G Protein–Coupled Receptor 3 Modulates Amyloid-Beta Peptide Generation in Neurons. Science. 323(5916). 946–951. 134 indexed citations
4.
Bakker, Remko A., Adrian F. Lozada, André van Marle, et al.. (2006). Discovery of Naturally Occurring Splice Variants of the Rat Histamine H3 Receptor That Act as Dominant-Negative Isoforms. Molecular Pharmacology. 69(4). 1194–1206. 57 indexed citations
5.
Hoffmann, Marcel, Silvina A. Fratantoni, Gerold Bongers, et al.. (2005). New high affinity H3 receptor agonists without a basic side chain. Bioorganic & Medicinal Chemistry. 13(23). 6309–6323. 14 indexed citations
6.
Arts, Gert‐Jan, Ellen Langemeijer, Libin Ma, et al.. (2003). Adenoviral Vectors Expressing siRNAs for Discovery and Validation of Gene Function. Genome Research. 13(10). 2325–2332. 75 indexed citations
7.
Leurs, Rob, Marcel Hoffmann, Astrid E. Alewijnse, Martine J. Smit, & Henk Timmerman. (2002). Methods to determine the constitutive activity of histamine H2 receptors. Methods in enzymology on CD-ROM/Methods in enzymology. 343. 405–416. 3 indexed citations
8.
Hoffmann, Marcel, Dennis Verzijl, Kenneth Lundström, et al.. (2001). Recombinant Semliki Forest virus for over-expression and pharmacological characterisation of the histamine H2 receptor in mammalian cells. European Journal of Pharmacology. 427(2). 105–114. 16 indexed citations
9.
Hoffmann, Marcel, Richard J. Ward, Antonella Cavalli, Ian Carr, & Graeme Milligan. (2001). Differential capacities of the RGS1, RGS16 and RGS–GAIP regulators of G protein signaling to enhance α2A‐adrenoreceptor agonist‐stimulated GTPase activity of Go1α. Journal of Neurochemistry. 78(4). 797–806. 27 indexed citations
10.
11.
Moon, Hyo-Eun, Antonella Cavalli, Diana Bahia, et al.. (2001). The human δ opioid receptor activates Gi1α more efficiently than Go1α. Journal of Neurochemistry. 76(6). 1805–1813. 32 indexed citations
12.
Esch, Iwan J. P. de, James E. Mills, Timothy D. Perkins, et al.. (2001). Development of a Pharmacophore Model for Histamine H3 Receptor Antagonists, Using the Newly Developed Molecular Modeling Program SLATE. Journal of Medicinal Chemistry. 44(11). 1666–1674. 35 indexed citations
13.
Leurs, Rob, Marcel Hoffmann, Kerstin Wieland, & Henk Timmerman. (2000). H3 receptor gene is cloned at last. Trends in Pharmacological Sciences. 21(1). 11–12. 48 indexed citations
14.
Smit, Martine J., Marcel Hoffmann, H. Timmerman, & Rob Leurs. (1999). Molecular properties and signalling pathways of the histamine H1receptor. Clinical & Experimental Allergy. 29(S3). 19–28. 52 indexed citations
15.
Alewijnse, Astrid E., Martine J. Smit, Marcel Hoffmann, et al.. (1998). Constitutive Activity and Structural Instability of the Wild‐Type Human H2 Receptor. Journal of Neurochemistry. 71(2). 799–807. 63 indexed citations
16.
Tedford, Clark E., Marcel Hoffmann, Nahid Seyedi, et al.. (1998). High antagonist potency of GT-2227 and GT-2331, new histamine H3 receptor antagonists, in two functional models. European Journal of Pharmacology. 351(3). 307–311. 41 indexed citations
17.
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
18.
Hoffmann, Marcel, et al.. (1992). Analysis of the promoter of the cytochrome P-450 2B2 gene in the rat.. PubMed. 2(4). 353–63. 15 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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